Reference Table: Summary of Library Contents

The table below will help those looking for a specific type of dataset (e.g. bi-partite networks only) or a particular size (e.g. networks with less than 5,000 nodes) quickly filter to their specification. For those who would like to drill down into more detail the (raw) csv of all the data is available here.

ID Dataset Name Dataset Overview Node Count Multimodal Bipartite Multiplex Edge Directed Edge Weighted Edge Signed Communities Dynamic Events Parallel Events
1 UK MPs on Twitter Data relating to the Twitter accounts of 419 Members of Parliament (MPs) in the United Kingdom, as listed on Tweetminster. These accounts were manually assigned to five disjoint communities, according to their political party affiliation (Conservative, Labour, Liberal Democrat, SNP, Other). 419 3 3 3 3 3 3 1 3 3
2 Zachary's karate club Social network of friendships between 34 members of a karate club at a US university in the 1970s 34 3 3 3 3 1 3 1 3 3
3 Terrorists This dataset contains information about terrorists and their relationships. This dataset was designed for classification experiments aimed at classifying the relationships among terrorists. The dataset contains 851 relationships, each described by a 0/1-valued vector of attributes where each entry indicates the absence/presence of a feature. There are a total of 1224 distinct features. Each relationship can be assigned one or more labels out of a maximum of four labels making this dataset suitable for multi-label classification tasks. 435 1 3 1 3 3 3 3 3 1
4 Students data sets van de Bunt The data were collected among a group of university freshmen who, except for a few existing relationships (acquaintances from a former school), did not know each other at the first measurement (time=t0). The data were collected at 7 time points. The first four time points are three weeks apart, whereas the last three time points are six weeks apart. The original group consisted of 49 students, but due to 'university drop-outs' and after deleting those who did not fill in the questionnaire four or more times, a group was obtained of 32 students for whom almost complete data are available. 32 3 3 1 1 3 3 3 1 3
5 ego-Facebook-0 Social circles from Facebook (anonymised) - Contains 10 connected components 347 3 3 3 3 3 3 1 3 3
6 ego-Facebook-107 Social circles from Facebook (anonymised) - Contains 10 connected components 1016 3 3 3 3 3 3 1 3 3
7 ego-Facebook-348 Social circles from Facebook (anonymised) - Contains 10 connected components 224 3 3 3 3 3 3 1 3 3
8 ego-Facebook-414 Social circles from Facebook (anonymised) - Contains 10 connected components 113 3 3 3 3 3 3 1 3 3
9 ego-Facebook-686 Social circles from Facebook (anonymised) - Contains 10 connected components 170 3 3 3 3 3 3 1 3 3
10 ego-Facebook-698 Social circles from Facebook (anonymised) - Contains 10 connected components 45 3 3 3 3 3 3 1 3 3
11 ego-Facebook-1684 Social circles from Facebook (anonymised) - Contains 10 connected components 776 3 3 3 3 3 3 1 3 3
12 ego-Facebook-1912 Social circles from Facebook (anonymised) - Contains 10 connected components 748 3 3 3 3 3 3 1 3 3
13 ego-Facebook-3437 Social circles from Facebook (anonymised) - Contains 10 connected components 542 3 3 3 3 3 3 1 3 3
14 ego-Facebook-3980 Social circles from Facebook (anonymised) - Contains 10 connected components 58 3 3 3 3 3 3 1 3 3
15 soc-Epinions1 Who-trusts-whom network of Epinions.com 75879 3 3 3 1 3 3 3 3 3
16 soc-LiveJournal1 LiveJournal online social network 4847571 3 3 2 3 1 3 1 3 3
17 soc-Slashdot0811 Slashdot social network from November 2008., , Slashdot is a technology-related news website know for its specific user community. The website features user-submitted and editor-evaluated current primarily technology oriented news. In 2002 Slashdot introduced the Slashdot Zoo feature which allows users to tag each other as friends or foes. The network contains friend/foe links between the users of Slashdot. The network was obtained in November 2008. 77630 3 3 3 1 3 3 3 3 3
18 soc-Slashdot0922 What, why can I edit this? 82168 3 3 3 1 3 3 3 3 3
19 wiki-Vote Wikipedia is a free encyclopaedia written collaboratively by volunteers around the world. A small part of Wikipedia contributors are administrators, who are users with access to additional technical features that aid in maintenance. In order for a user to become an administrator a Request for adminship (RfA) is issued and the Wikipedia community via a public discussion or a vote decides who to promote to adminship. Using the latest complete dump of Wikipedia page edit history (from January 3 2008) we extracted all administrator elections and vote history data. This gave us 2,794 elections with 103,663 total votes and 7,066 users participating in the elections (either casting a vote or being voted on). Out of these 1,235 elections resulted in a successful promotion, while 1,559 elections did not result in the promotion. About half of the votes in the dataset are by existing admins, while the other half comes from ordinary Wikipedia users., , The network contains all the Wikipedia voting data from the inception of Wikipedia till January 2008. Nodes in the network represent Wikipedia users and a directed edge from node i to node j represents that user i voted on user j. 7115 3 3 3 3 3 3 3 3 1
20 Olympic Athletes & Organisations on Twitter From January-August 2012, we collected data relating to the Twitter accounts of a list of 464 athletes and organisations that were involved in the London 2012 Summer Olympics. The selection was based on a subset of a user list previously curated by The Telegraph (UK). The accounts were manually assigned to 28 disjoint "ground truth" communities, corresponding to different Olympic sports. 464 3 3 1 1 3 3 1 3 3
21 Rugby Players & Clubs on Twitter During 2012, we collected data relating to a list of 854 international Rugby Union players, clubs, and organisations currently active on Twitter. These accounts were manually assigned to 15 overlapping communities, each corresponding to a different country (Argentina, Australia, Canada, England, Fiji, France, Ireland, Italy, New Zealand, Samoa, Scotland, South Africa, Tonga, USA, Wales). In the case of players, they can be assigned to both their home nation and the nation in which they play club rugby (players assigned to two different countries are indicated by light grey nodes). 854 3 3 1 1 3 3 1 3 3
22 Premier League Players & Clubs on Twitter In late 2012, we collected data relating to the Twitter accounts of a list of 248 English Premier League football players and clubs active on Twitter. These accounts were manually assigned to 20 disjoint "ground truth" communities, each corresponding to a different Premier League club: Arsenal, Aston-Villa, Chelsea, Everton, Fulham, Liverpool, Manchester City, Manchester Utd, Newcastle, Norwich, QPR, Reading, Southampton, Spurs, Stoke, Sunderland, Swansea, West Brom, West Ham, Wigan 248 3 3 1 1 3 3 1 3 3
23 Irish Politicians & Organisations on Twitter In 2011 and 2012, we collected data relating to the Twitter accounts of 348 Irish politicians (TDs, MEPs, senators, councillors, and presidential candidates) and political organisations. These accounts were then manually assigned to seven communities, according to their political affiliation: Fine Gael, Fianna Fáil, Labour, Sinn Féin, Green Party, United Left Alliance, Independents. 348 3 3 1 1 3 3 1 3 3
24 EIES data sets The Electronic Information Exchange System (EIES) data were collected by Freeman and Freeman (1980). This data set is discussed also in Wasserman and Faust (1994). This is a network of 32 researchers who participated in an early study on the effects of electronic information exchange, a precursor of email communication. 32 3 3 1 1 1 3 3 1 3
25 KAPFERER TAILOR SHOP Bruce Kapferer (1972) observed interactions in a tailor shop in Zambia (then Northern Rhodesia) over a period of ten months. His focus was the changing patterns of alliance among workers during extended negotiations for higher wages., , The matrices represent two different types of interaction, recorded at two different times (seven months apart) over a period of one month. KAPFTI1.dat and KAPFTI2.dat record the "instrumental" (work- and assistance-related) interactions at the two times; KAPFTS1.dat and KAPFTS2.dat the "sociational" (friendship, socioemotional) interactions., , The data are particularly interesting since an abortive strike occurred after the first set of observations, and a successful strike took place after the second. 39 3 3 1 3 1 3 3 1 1
26 Description lawyers data Lazega This data set comes from a network study of corporate law partnership that was carried out in a North-eastern US corporate law firm, referred to as SG&R, 1988-1991 in New England. It includes (among others) measurements of networks among the 71 attorneys (partners and associates) of this firm, i.e. their strong-co-worker network, advice network, friendship network, and indirect control networks. Various members' attributes are also part of the dataset, including seniority, formal status, office in which they work, gender, lawschool attended, individual performance measurements (hours worked, fees brought in), attitudes concerning various management policy options, etc. 71 3 3 1 1 3 3 3 3 3
27 Evelien Zeggelink students data set The data were collected among the freshman cohort majoring in Sociology in the University of Groningen in 1998-1999. Except for a few existing relationships (acquaintances from a former school), the students did not know each other at the first measurement. The data were collected at seven time points, but two of these are missing. The first time point, t0, was at the start of the freshmen year; times t2 and t3 were 6 and 9 weeks later, respectively; t5 and t6 were about 21 and 27 weeks after t0. The number of students was 34, with varying amounts of nonresponse at the later moments. 34 3 3 1 1 3 3 3 1 3
28 Description students data set Marijtje van Duijn The data were collected among the freshman cohort majoring in Sociology in the University of Groningen in 1996-1997. Except for a few existing relationships (acquaintances from a former school), they did not know each other at the first measurement. The data were collected at five time points. The first time point was at the start of the freshmen year; the further time points were 3, 6, 13, and 35 weeks later, respectively. The number of responding students was 38, 25, 28, 18, and 18, respectively. For the first measurement point, these were practically all freshman students. Some of the decrease was due to dropout. The data for the last time point are not quite reliable: some of the questionnaires were handed in before and some after an unexpected event that had a great impact on the students. 38 3 3 1 1 3 3 3 1 3
29 Hypertext 2009 dynamic contact network This dataset was collected during the ACM Hypertext 2009 conference, where the SocioPatterns project deployed the Live Social Semantics application. Conference attendees volunteered to wear radio badges that monitored their face-to-face proximity. The dataset published here represents the dynamical network of face-to-face proximity of ~110 conference attendees over about 2.5 days. No personal data are released here, and no metadata collected by the Live Social Semantics application are exposed. We provide two data files, described below. 110 3 3 3 3 3 3 3 1 3
30 Infectious SocioPatterns For each of the sixty-nine covered days. The nodes represent visitors of the Science Gallery while the edges represent close-range face-to-face proximity between the concerned persons., The weights associated with the edges are the number of 20 seconds intervals during which close-range face-to-face proximity has been detected. Note that the same node ids are used in successive days for simplicity, but they naturally correspond to different visitors as each visitor was present only on one day. 69 3 3 3 3 3 3 3 1 3
31 Primary school – cumulative networks This dataset is part of our study of contact networks in a primary school, as reported in the paper High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School. The dataset comprises two weighted networks of face-to-face proximity between students and teachers. For each day of the study, a daily contact network is provided: nodes are individuals and edges represent face-to-face interactions. Nodes have an attribute classname that indicates the school class and grade of the corresponding individual. Teachers are all assigned to the “Teachers” class. Edges between A and B have two weights associated with them: duration, which is the cumulative time spent by A and B in face-to-face proximity, over one day, measured in seconds (multiples of 20 seconds); and count, which is the number of times the A-B contact was established during the school day. The networks are provided as two GEXF files, one per day of the study, which can be loaded directly into Gephi. These GEXF files contain the same data provided in the supplementary information of the paper above. 242 1 3 3 3 3 3 3 1 3
32 Co-authorship in network science co-authorship network of scientists working on network theory and experiment, as compiled by M. Newman in May 2006. A figure depicting the largest component of this network can be found here. M. E. J. Newman, Phys. Rev. E 74, 036104 (2006). 1584 3 3 3 3 1 3 3 3 3
33 Jazz musicians network List of edges of the network of Jazz musicians 198 3 3 3 1 3 3 3 3 1
34 Github open source developers Data available at http://franck.lumberjaph.net/graphs.tgz 34000 1 3 3 3 3 3 3 3 3
35 Online Social Network 1899 nodes - Opsahl, T., Panzarasa, P., 2009. Clustering in weighted networks. Social Networks 31 (2), 155-163 1899 3 3 3 1 1 3 3 3 3
36 Extended Epinions dataset One of the Epinions datasets., This dataset was given directly by Epinions staff to Paolo Massa. As a consequence, the dataset contains also the distrust lists (which users are distrusted by which users) that is not shown on the site but kept private., , If you use one of these datasets and you appreciate my effort in collecting and releasing them, please cite my paper Trust-aware Bootstrapping of Recommender System (see below) or another of my papers analysing Epinions, thanks! --Paolo Massa 09:25, 15 February 2011 (PST), Massa, P., & Avesani, P. (2006). Trust-aware bootstrapping of recommender systems. , Proceedings of ECAI 2006 Workshop on Recommender Systems (pp. 29-33). 132000 3 3 1 1 3 3 3 1 1
37 Advogato dataset The Advogato dataset is available at www.advogato.org/person/graph.dot as a file in DOT format., The Trustlet project downloads a daily snapshot of the Advogato dataset file since October 13 2007. The snapshots are made available for other researchers in this directory: http://www.trustlet.org/datasets/advogato/ . The format is Advogato-graph-YYYY-MM-DD, for example http://www.trustlet.org/datasets/advogato/advogato-graph-2002-01-28.dot, If you use one of these datasets and you find them useful, please cite my paper Trustlet, Open Research on Trust Metrics or Bowling Alone and Trust Decline in Social Network Sites (see below), thanks! --Paolo Massa 08:20, 8 April 2010 (UTC) 0 3 3 3 1 3 3 3 1 3
38 Enron Email Dataset This dataset was collected and prepared by the CALO Project (A Cognitive Assistant that Learns and Organizes). It contains data from about 150 users, mostly senior management of Enron, organized into folders. The corpus contains a total of about 0.5M messages. This data was originally made public, and posted to the web, by the Federal Energy Regulatory Commission during its investigation., The email dataset was later purchased by Leslie Kaelbling at MIT, and turned out to have a number of integrity problems. A number of folks at SRI, notably Melinda Gervasio, worked hard to correct these problems, and it is thanks to them (not me) that the dataset is available. The dataset here does not include attachments, and some messages have been deleted "as part of a redaction effort due to requests from affected employees". Invalid email addresses were converted to something of the form user@enron.com whenever possible (i.e., recipient is specified in some parse-able format like "Doe, John" or "Mary K. Smith") and to no_address@enron.com when no recipient was specified. 158 3 3 3 1 3 3 3 1 3
39 Political blogs directed network of hyperlinks between weblogs on US politics, recorded in 2005 by Adamic and Glance. Please cite L. A. Adamic and N. Glance, "The political blogosphere and the 2004 US Election", in Proceedings of the WWW-2005 Workshop on the Web logging Ecosystem (2005). Thanks to Lada Adamic for permission to post these data on this web site. 1490 3 3 3 1 3 3 3 3 3
40 Condensed matter collaborations 2005 Network of co-authorships between scientists posting preprints on the Condensed Matter E-Print Archive. This version includes all preprints posted between Jan 1, 1995 and June 30, 2003. The largest component of this network, which contains 27519 scientists, has been used by several authors as a test-bed for community-finding algorithms for large networks; see for example J. Duch and A. Arenas, Phys. Rev. E 72, 027104 (2005) 27519 3 3 3 3 1 3 3 3 3
41 E-mail network URV List of edges of the network of e-mail interchanges between members of the University Rovira i Virgili (Tarragona). Data compiled by members of our group. Please cite R. Guimera, L. Danon, A. Diaz-Guilera, F. Giralt and A. Arenas, Physical Review E , vol. 68, 065103(R), (2003). 1133 3 3 3 1 3 3 2 3 3
42 PGP network List of edges of the giant component of the network of users of the Pretty-Good-Privacy algorithm for secure information interchange. Data compiled by members of our group. Please cite M. Boguña, R. Pastor-Satorras, A. Diaz-Guilera and A. Arenas, Physical Review E, vol. 70, 056122 (2004) 57243 3 3 2 1 3 3 3 3 3
43 Co-authorship in network science Co-authorship network of scientists working on network theory and experiment, as compiled by M. Newman in May 2006. A figure depicting the largest component of this network can be found here. These data can be cited as M. E. J. Newman, Phys. Rev. E 74, 036104 (2006). 1589 3 3 3 3 1 3 3 3 3
44 Terrorist Attacks This dataset consists of 1293 terrorist attacks each assigned one of 6 labels indicating the type of the attack. Each attack is described by a 0/1-valued vector of attributes whose entries indicate the absence/presence of a feature. There are a total of 106 distinct features. The files in the dataset can be used to create two distinct graphs. The README file in the dataset provides more details. Click here to download the tarball containing the dataset. 851 1 3 3 3 3 3 3 3 3
45 MathSciNet: Co-authorship network Info , 391,529 nodes: authors (with numerical IDs) at MathSciNet before January, 2008, 873,775 links (weighted, undirected): co-authorship connections (pairs of authors with numerical IDs), link weight: an article with N authors increases the link weight between each pair of its authors by 1/(N-1) 391529 3 3 3 3 1 3 3 3 1
46 7: Norwegian Boards (Aug’09) This is the interlocking directorate among 384 public limited companies in Norway (Allmennaksjeselskap or ASA). The list of companies is created by selecting all companies listed as public limited companies on the website of the Norwegian Business Register on August 5, 2009. For each company, we downloaded public announcements containing changes to the boards’ composition since November 1999. From these announcements, we extracted monthly affiliation (or two-mode) networks since May 2002 (see website for choice of cut-off). Corresponding one-mode projections are also available. We strive to keep the data updated by downloading new announcements around the middle of each month. 1879 1 1 3 3 3 3 3 1 3
47 8: Organisational (Consult; Advice) This dataset contains four networks are intra-organizational networks. Two are from a consulting company (46 employees) and two are from a research team in a manufacturing company (77 employees). These networks was used by Cross and Parker (2004)., In the first network, the ties are differentiated on a scale from 0 to 5 in terms of frequency of information or advice requests (“Please indicate how often you have turned to this person for information or advice on work-related topics in the past three months”). 0: I Do Not Know This Person; 1: Never; 2: Seldom; 3: Sometimes; 4: Often; and 5:Very Often. 46 3 3 3 1 1 3 3 3 3
48 9: Organisational (Consult; Value) This dataset contains four networks are intra-organizational networks. Two are from a consulting company (46 employees) and two are from a research team in a manufacturing company (77 employees). These networks was used by Cross and Parker (2004)., In the second network, ties are differentiated in terms of the value placed on the information or advice received (“For each person in the list below, please show how strongly you agree or disagree with the following statement: In general, this person has expertise in areas that are important in the kind of work I do.”). The weights in this network is also based on a scale from 0 to 5. 0: I Do Not Know This Person; 1: Strongly Disagree; 2: Disagree; 3: Neutral; 4: Agree; and 5: Strongly Agree. 46 3 3 2 1 1 3 3 3 3
49 10: Organisational (R&D; Advice) This dataset contains four networks are intra-organizational networks. Two are from a consulting company (46 employees) and two are from a research team in a manufacturing company (77 employees). These networks was used by Cross and Parker (2004)., In the third network, the ties among the researchers are differentiated in terms of advice (“Please indicate the extent to which the people listed below provide you with information you use to accomplish your work”). The weights are based on the following scale: 0: I Do Not Know This Person/I Have Never Met this Person; 1: Very Infrequently; 2: Infrequently; 3: Somewhat Infrequently; 4: Somewhat Frequently; 5: Frequently; and 6: Very Frequently. 77 3 3 2 1 1 3 3 3 3
50 11: Organisational (R&D; Aware) This dataset contains four networks are intra-organizational networks. Two are from a consulting company (46 employees) and two are from a research team in a manufacturing company (77 employees). These networks was used by Cross and Parker (2004)., The fourth network is based on the employees’ awareness of each others’ knowledge and skills (“I understand this person’s knowledge and skills. This does not necessarily mean that I have these skills or am knowledgeable in these domains but that I understand what skills this person has and domains they are knowledgeable in”). The weight scale in this network is: 0: I Do Not Know This Person/I Have Never Met this Person; 1: Strongly Disagree; 2: Disagree; 3: Somewhat Disagree; 4: Somewhat Agree; 5: Agree; and 6: Strongly Agree. 77 3 3 2 1 1 3 3 3 3
51 13: Southern Women Network This dataset was collected by Davis and colleague in the 1930s. It contains the observed attendance at 14 social events by 18 Southern women. 18 3 3 3 1 3 3 3 1 3
52 Bernard and Killworth Fraternity These data concern interactions among students living in a fraternity at a West Virginia college., , This is a data set of 18 women observed over a nine-month period. During that period, various subsets of these women met in a series of 14 informal social events. The data recored which women met for which events. 0 3 3 1 1 1 3 3 3 3
53 Bernard and Killworth HAM Radio This data records interaction among amateur HAM radio calls over a one-month period. 0 3 3 1 1 1 3 3 3 3
54 Bernard and Killworth Technical These data concern interactions in a technical research group at a West Virginia university. 0 3 3 1 1 1 3 3 3 3
55 Centrality Literature Network This dataset is a citation network consisting of literature pertaining to the topic of centrality in network analysis. The data includes papers that discuss network centrality and their cross-references from the 1940s until 1979. 0 3 3 3 1 3 3 3 3 3
56 Galaskiewicz's CEOs and Clubs The membership of the chief executive officers from 26 corporations in 15 clubs, cultural boards, and corporate boards of directors. This membership/affiliation network was originally collected by Galaskiewicw (1985). 43 1 1 3 3 3 3 3 3 3
57 Cities and Service Firms These data consist of the distribution of offices for 46 'global' advanced producer service firms over 55 world cities. Global firms are defined by having offices in at least 15 different cities. This data consists of two modes where firms are linked to cities. 101 1 1 3 3 3 3 3 3 3
58 Dining-table partners in a girls dormitory at a New York State training school This data represented the dining-table partner choices of 26 girls in a dormitory at a New Rosk state training school. 26 3 3 1 1 1 3 3 3 3
59 Sampson's Monastery Data The data stem from an ethnographic study of community structure in a New England monastery by Samuel F. Sampson. The study describes several social relations among a group of men (novices) who were preparing to join a monastic order. Four relations are coded, with separate matrices for positive and negative ties on the relation. 0 3 3 1 1 1 3 3 1 3
60 Corporate Interlocks in Scotland (1904-1905) This dataset contains the corporate interlocks in Scotland in the beginning of the twentieth century (1904-5). It lists the (136) multiple directors of the 108 largest joint stock companies in Scotland in 1904-5: 64 non-financial firms, 8 banks, 14 insurance companies, and 22 investment and property companies. 244 1 1 3 3 3 3 3 3 3
61 Student Government of the University of Ljubljana, 1992 This network consists of communication interactions among twelve members and advisors of the Student Government at the University in Ljubljana. The results of the measurement are not observed interactions among actors but cognitive reports about communication interactions. 11 3 3 1 1 3 3 3 3 3
62 Turrialba Visiting Networks, Costa Rica, 1948 This data represents visiting ties among families in Turrialba, Costa Rica, 1948. There are visiting networks for two different villages in the area, Attiro and San Juan Sur. The network of visiting ties is a simple directed graph where each arc represents 'frequent visits' from one family to another. 0 3 3 3 1 3 3 3 3 3
63 YG This is the bipartite network of YouTube users and their group memberships. The nodes are users and groups, and an edge between a user and a group denotes a group membership. 124325 1 1 3 1 3 3 3 3 3
64 Orkut This is the bipartite network of Orkut users and their group memberships. 11514053 1 1 3 1 3 3 3 3 3
65 Teams The is the bipartite network of athletes and their teams, extracted from DBpedia. The nodes in the network are individual athletes and individual teams. An edge in the network connects an athlete with a team the athlete has played in. The dataset was extracted from DBpedia and corresponds to the <http://dbpedia.org/ontology/team> relationship type. 138652 1 1 3 1 3 3 3 3 3
66 LiveJournal This is the bipartite network of LiveJournal users and their group memberships. 10690276 1 1 3 1 3 3 3 3 3
67 Record labels This is the bipartite network of musical artists and their record labels from DBpedia. Nodes in the network are artists and record labels. Each edge connects an artist with a record label under which the artist has performed. The edges correspond to the <http://dbpedia.org/ontology/recordLabel> relationships in DBpedia. 169272 1 1 3 1 3 3 3 3 3
68 Flickr This is the bipartite network of Flickr users and their group memberships. 499610 1 1 3 1 3 3 3 3 3
69 Prosper.com This is the bipartite network of Prosper.com users and the groups they support. 7595 1 1 3 1 3 3 3 3 3
70 WikipediaTalk This is the communication network of the English Wikipedia. Nodes represent users of the English Wikipedia, and an edge from user A to user B denotes that user A has written a message on the talk page of user B. 2394385 3 3 3 1 3 3 3 3 3
71 Facebook wall posts These files contain a list of all of the user-to-user links from the Facebook New Orleans networks. All links are treated as directed, even though they are undirected on Facebook. 63981 3 3 3 1 3 3 3 1 3
72 EU institution This is the email communication network of a large, undisclosed European institution. Nodes represent individual persons. Edges between two persons are directed and denote that at least one email has been sent from one person to the other. All edges are simple: Even if a person has sent multiple emails to another person, the two persons will be connected only by a single edge in that direction. Spam emails have been removed from the dataset. 300069 3 3 3 1 3 3 3 3 3
73 Slashdot threads This is the reply network of technology website Slashdot. Nodes are users and edges are replies. The edges are directed and start from the responding user. Edges are annotated with the timestamp of the reply. 51083 3 3 3 1 3 3 3 3 3
74 Digg This is the reply network of the social news website Digg. Each node in the network is a user of the website, and each directed edge denotes that a user replied to another user. 30398 3 3 3 1 3 3 3 3 3
75 ASU Twitter This is the directed network of "@username" mentions on Twitter. Each node is a Twitter user, and each directed edge from user A to user B means that user A has mentioned user B in a tweet using the "@username" syntax. Multiple edges are allowed, and each edge is annotated with the timestamp of the tweet. 2919613 3 3 3 1 3 3 3 1 3
76 DBLP This is the collaboration graph of authors of scientific papers from DBLP computer science bibliography. An edge between two authors represents a common publication. Edges are annotated with the date of the publication. There may be multiple edges between two nodes, representing pairs of authors that have written multiple publications together. 1103412 3 3 3 1 3 3 3 1 3
77 Wikipedia conflict This network indicates positive and negative conflicts between users of Wikipedia, for example users involved in an edit-war. A node represents a user. An edge represents a positive or negative conflict between two users. 118100 3 3 1 3 3 3 3 1 3
78 Highland tribes This is the signed social network of tribes of the Gahuku–Gama alliance structure of the Eastern Central Highlands of New Guinea, from Kenneth Read (1954). The network contains sixteen tribes connected by friendship ("rova") and enmity ("hina"). 16 3 3 1 1 3 1 3 3 3
79 Filmtipset This is the social network from Filmtipset.se, a Swedish movie rating website. Nodes in the network are users of the website and links denote friendship. The network is undirected and simple, i.e. each node pair can only be connected by a single link. 39199 3 3 3 3 3 3 3 3 3
80 Dogster Friendships This Network contains friendships between users of the website dogster.com. 426820 3 3 3 3 3 3 3 3 3
81 KONECT-YouTube This is the social network of YouTube users and their friendship connections., , Data from our WOSN 2008 paper and Alan Mislove's PhD Thesis is available from the links below. Each of the data sets has been anonymized to protect the privacy of the users themselves. Included is information about the evolving link structure from the networks., , Note that we are unable to release any non-anonymized data., We are aware that properly anonymizing online social network data is very challenging. Clever schemes have been found to break seemingly well anonymized data sets (e.g., the NetFlix data set). For the data we make available, we use a "best effort" anonymization. We do not offer any strong guarantees and we suspect that our anonymization scheme can likely be broken by clever comparisons to other real-world data. We encourage people to help bring problems and fixes to our notice, should they find any. 3223643 3 3 3 3 3 3 3 1 3
82 Twitter (MPI) This asymmetric network contains Twitter follow data based on a snapshot taken in 2009. A node represents a user. A directed edge indicates that a user follows another user. 52579682 3 3 3 1 3 3 3 3 3
83 Orkut This is the social network of Orkut users and their connections. 3072441 3 3 3 1 3 3 3 3 3
84 Hamsterster Friendships This Network contains friendships between users of the website hamsterster.com. 1858 3 3 3 1 3 3 3 3 3
85 Catster/Dogster Familylinks/Friendships This Network contains familylinks between cats and cats, cats and dogs, as well as dogs and dogs from the social websites catster.com and dogster.com. Also included are cat-cat and dog-dog friendships. 624127 3 3 3 1 3 3 3 3 3
86 WikiSigned This asymmetric, signed network contains interpreted interactions between the users of the English Wikipedia. Each interaction, such as text editing, reverts, restores and votes are given a positive or negative value. The result can be interpreted as a web of trust. An edge represents an interaction and a node represents a user. 138592 3 3 3 1 3 1 3 3 3
87 Twitter (ICWSM) 465017 3 3 3 1 3 3 3 3 3
88 Hamsterster Friendships/Familylinks This Network contains friendships and familylinks between users of the website hamsterster.com. 2426 3 3 3 1 3 3 3 3 3
89 Facebook Social Graph This network describes friendship relations between users of the social network Facebook. It was collected in April of 2009 through data scraping from Facebook. 0 3 3 3 1 3 3 3 3 3
90 Catster Friendships This Network contains friendships between users of the website catster.com. 149700 3 3 3 1 3 3 3 3 3
91 Twitter This is the follower network from Twitter, containing 1.4 billion directed follow edges between 41 million Twitter users. 41652230 3 3 3 1 3 3 3 3 3
92 Libimseti.cz Libimseti.cz (also spelled Líbímseti.cz; from Czech Líbím se ti, "Do you like me") is a Czech dating site. This is the network of ratings given by users of Libimseti.cz to other users. The network is unipartite, directed, and edges represent ratings on a scale from 1 to 10. 220970 3 3 3 1 1 3 3 3 3
93 Flickr This is the social network of Flickr users and their friendship connections. 2302925 3 3 3 1 3 3 3 3 3
94 BlogCatalog BlogCatalog is the social blog directory which manages the bloggers and their blogs. 88784 3 3 3 1 3 3 3 3 3
95 BlogCatalog2 BlogCatalog is the social blog directory which manages the bloggers and their blogs. 2 2 2 3 3 3 2 2 2
96 BlogCatalog3 BlogCatalog is the social blog directory which manages the bloggers and their blogs. Both the contact network and selected group membership information are included. 2 2 2 3 3 3 2 2 2
97 Buzznet Buzznet is a photo, journal, and video-sharing social media network. 2 2 2 3 3 3 2 2 2
98 Delicious Delicious (formerly del.icio.us, pronounced "delicious") is a social bookmarking web service for storing, sharing, and discovering web bookmarks. 2 2 2 3 3 3 2 2 2
99 Digg Digg is a social news website. Prior to Digg v4, its cornerstone function consisted of letting people vote stories up or down, called digging and burying, respectively. 2 2 2 3 3 3 2 2 2
100 Douban Douban.com, launched on March 6, 2005, is a Chinese Web 2.0 website providing user review and recommendation services for movies, books, and music. 2 2 2 3 3 3 2 2 2
101 Flickr A network data set crawled from Flickr. Both the contact network and selected group membership information are included. 2 2 2 3 3 3 2 2 2
102 Flixster Flixster is a social movie site allowing users to share movie ratings, discover new movies and meet others with similar movie taste. 2 2 2 3 3 3 2 2 2
103 Foursquare Foursquare is a location-based social networking website, software for mobile devices. This service is available to users with GPS enabled mobile devices, such as iPhones and Blackberries. 2 2 2 3 3 3 2 2 2
104 Friendster Friendster is a social networking website.The service allows users to contact other members, maintain those contacts, and share online content and media with those contacts. 2 2 2 3 3 3 2 2 2
105 Hyves Hyves is the most popular social networking site in the Netherlands with mainly Dutch visitors and members and competes in this country with sites such as Facebook and MySpace. 2 2 2 3 3 3 2 2 2
106 Last.fm Last.fm is a music website, founded in the United Kingdom in 2002. It has claimed over 40 million active users based in more than 190 countries. 2 2 2 3 3 3 2 2 2
107 LiveJournal LiveJournal (LJ) is a virtual community where Internet users can keep a blog, journal or diary. 2 2 2 3 3 3 2 2 2
108 Livemocha Livemocha is the world's largest online language learning community, offering free and paid online language courses in 35 languages to more than 6 million members from over 200 countries around the world. 2 2 2 3 3 3 2 2 2
109 Twitter Twitter is a social news website. It can be viewed as a hybrid of email, instant messaging and sms messaging all rolled into one neat and simple package. It's a new and easy way to discover the latest news related to subjects you care about. 2 2 2 3 3 3 2 2 2
110 Youtube2 YouTube is a video-sharing website on which users can upload, share, and view videos. Both the contact network and selected group membership information are included. 2 2 2 3 3 3 2 2 2
111 YouTube A multi-dimensional network consists of various type of interactions which can be used to study shared communities among heterogeneous interactions. 2 2 2 3 3 3 2 2 2
112 50 Women dataset. The social network data were collected in the Teenage Friends and Lifestyle Study (West and Sweeting 1995, Michell and Amos 1997, Pearson and Michell 2000, Pearson and West 2003). Friendship network data and substance use were recorded for a cohort of pupils in a school in the West of Scotland. The panel data were recorded over a three year period starting in 1995, when the pupils were aged 13, and ending in 1997. A total of 160 pupils took part in the study, 129 of whom were present at all three measurement points. The friendship networks were formed by allowing the pupils to name up to twelve best friends. Pupils were also asked about substance use and adolescent behavior associated with, for instance, lifestyle, sporting behavior and tobacco, alcohol and cannabis consumption. The question on sporting activity asked if the pupil regularly took part in any sport, or go training for sport, out of school (e.g. football, gymnastics, skating, mountain biking). The school was representative of others in the region in terms of social class composition (Pearson and West 2003). 2 2 2 3 3 3 2 2 2
113 Astrophysics A collaboration network of scientists posting preprints on the astrophysics archive at www.arxiv.org, 1995-1999, as compiled by M. Newman. The network is weighted, with weights assigned as described in the original papers. 2 2 2 3 3 3 2 2 2
114 The Attiro dataset. In 1948, American sociologists executed a large field study in the Turrialba region, which is a rural area in Costa Rica (Latin America). They were interested in the impact of formal and informal social systems on social change. Among other things, they investigated visiting relations between families living in haciendas (farms) in a neighborhood called Attiro. The network of visiting ties is a simple directed graph: each arc represents "frequent visits" from one family to another. The exact number of visits was not recorded. Line values classify the visiting relation as ordinary (value one), visits among kin (value two), and visits among ritual kin, i.e., between god-parent and god-child., , The investigators proposed an ethnographic classification of the families into six family-friendship groupings on substantive criteria. In rural areas where there is little opportunity to move up and down the social ladder social groups are usually based on family relations., , Similar data are available for another village in the same area: San Juan Sur. In addition, for San Juan Sur, a network is available with the arcs representing the answers of the (head of) families to the question: "In case of a death in the family, whom would you notify first?". In this file (SanJuanSur_deathmessage.net), the coordinates of families correspond with the locations of families in the original sociogram drawn by the researchers. 2 2 2 3 3 3 2 2 2
115 Camp 92 These data were collected by Steve Borgatti, Russ Bernard, Bert Pelto and Gery Ryan at the 1992 NSF Summer Institute on Research Methods in Cultural Anthropology. This was a 3 week course given to 14 carefully selected participants. Network data were collected at the end of each week. These data were collected at the end of the second week. The data were collected by placing each person's name on a card and asking each respondent to sort the cards in order of how much interaction they had with that person since the beginning of the course (known informally as "camp"). This results in rank order data in which a "1" indicates the most interaction while a "17" indicates the least interaction. 2 2 2 3 3 3 2 2 2
116 CSphd The network contains the ties between Ph.D. students and their advisors in theoretical computer science; each arc points from an advisor to a student. The partition contains the (estimated) year in which the Ph.D. was obtained. 2 2 2 3 3 3 2 2 2
117 Dining Dining-table partners in a dormitory at a New York State Training School. 2 2 2 3 3 3 2 2 2
118 Drug Net ?? 2 2 2 3 3 3 2 2 2
119 Flying Teams In 1943, Leslie D. Zeleny administered a sociometric test to 48 cadet pilots at an US Army Air Forces flying school. Cadets were trained to fly a two- seated aircraft, taking turns in flying and aerial observing. Cadets were assigned to instruction groups ranging in size from 5 to 7 at random, so they had little or no control over who their flying partners would be. The sociometric test was used to improve the composition of instruction groups. Zeleny asked each cadet to name the members of his flight group with whom he would like to fly as well as those with whom he would not like to fly. 2 2 2 3 3 3 2 2 2
120 Football Our network example describes the 22 soccer teams which participated in the World Championship in Paris, 1998., , Players of the national team often have contracts in other countries. This constitutes a players market where national teams export players to other countries. Members of the 22 teams had contracts in altogether 35 countries., , Counting which team exports how many players to which country can be described with a valued, asymmetric graph. The graph is highly unsymmetric: some countries only export players, some countries are only importers. 2 2 2 3 3 3 2 2 2
121 Galesburg In a famous study, known as the Columbia University Drug Study, the diffusion of a new drug (gammanym) was investigated. The researchers collected data on the first subscription of this drug by physicians in several communities. In addition, they investigated friendship ties and discussion links between the physicians, asking them to name three doctors whom they considered to be personal friends and to nominate three doctors with whom they would choose to discuss medical matters., , The file Galesburg.net contains a network of friendship (blue) and discussion ties (red) between 17 physicians who adopted the new drug in Galesburg (Illinois) in the 1950s. The partition Galesburg_adoptiontime.clu specifies the number of months since the introduction of the new drug at which the physician first prescribed the drug. This is considered to be their adoption time. 2 2 2 3 3 3 2 2 2
122 Gama Hage & Harary (1983) use the Gahuku-Gama system of the Eastern Central Highlands of New Guinea, described by Read (1954), to illustrate a clusterable signed graph. Read's ethnography portrayed an alliance structure among three tribal groups containing balance as a special case; among Gahuku-Gama the enemy of an enemy can be either a friend or an enemy., , The signed graph has been split into two matrices: GAMAPOS for alliance ("rova") relations, GAMANEG for antagonistic ("hina") relations. To reconstruct the signed graph, multiply GAMANEG by -1, and add the two matrices. 2 2 2 3 3 3 2 2 2
123 Goodreau's Faux Mesa High School The network is named faux.mesa.high because the school community on which it is based is in the rural western United States, with a student body that is largely Hispanic and Native American. The data set is based upon a model to fit data from one school community from the National Longitudinal Study on Adolescent Health (Resnick et al., 1997). This network was originally distributed as part of the Statnet package. 2 2 2 3 3 3 2 2 2
124 Hep-Th A collaboration network of scientists posting preprints on the high-energy theory archive at www.arxiv.org, 1995-1999, as compiled by M. Newman. 2 2 2 3 3 3 2 2 2
125 Hi-tech The case is a small hi-tech computer firm which sells, installs, and maintains computer systems. The network contains the friendship ties among the employees, which were gathered by means of the question: Who do you consider to be a personal friend? Three employees (Fran, Quincy, and York) did not return the questionnaire. Note that most friendship nominations are reciprocated, but not all (112 out of 147). A friendship choice (arc) is only included in the network if both persons involved acknowledge it., , Some months later, employees tried to unionize the firm: they sought support among the employees to let the union have a say in the firm. The three top managers and three employees who were not directly involved were opposed to union certification of the firm. Five employees were pro- union, but two of them (Chris and Ovid) did not actively advocate the pro- union position. At the end, the proposal to unionize the firm was voted down. Chris resigned from the firm ten days before the vote because he did not want to participate in it. He re-joined the firm two days after the vote. 2 2 2 3 3 3 2 2 2
126 Knoke and Kuklinski In 1978, Knoke & Wood collected data from workers at 95 organizations in Indianapolis. Respondents indicated with which other organizations their own organization had any of 13 different types of relationships., , Knoke and Kuklinski (1982) selected a subset of 10 organizations and two relationships. Money exchange is recorded in KNOKM, information exchange in KNOKI. See Knoke & Kuklinski (1982) for details., , Sectors encoding (KNOKSEC): 1 - GOV, 2 - VOL, 3 - PVT. 2 2 2 3 3 3 2 2 2
127 Literature 1976 This network contains the critical attention among a set of Dutch literary authors and critics in 1976. It contains an arc between two people if the first has passed judgment on the work of second in an interview or review. 2 2 2 3 3 3 2 2 2
128 Mexican Power In Mexico, political power has been in the hands of a relatively small set of people who are connected by business relations, family ties, friendship, and membership of political institutions throughout most of the 20th century. A striking case in point is the succession of presidents, especially the nomination of the candidates for the presidential election. Since 1929, each new president was a secretary in the previous cabinet, which means that he worked closely together with the previous president. Moreover, the candidates always entertained close ties with former presidents and their closest collaborators. In this way, a political elite has maintained control over the country., , The network contains the core of this political elite: the presidents and their closest collaborators. In this network, edges represent significant political, kinship, friendship, or business ties., , Notwithstanding the fact that one political party (the Partido Revolucionario Institutional) won all elections in the period under consideration, two (or more) groups within this party have been competing for power. The main opposition seems to be situated between civilians and members of the military. After the revolution, the political elite was dominated by the military but gradually the civilians have assumed power. 2 2 2 3 3 3 2 2 2
129 ModMath This network concerns the diffusion of a new mathematics method in the 1950s. This innovation was instigated by top mathematicians and sponsored by the National Science Foundation of the USA as well as the U.S. Department of Education. The diffusion process was successful since the new method was adopted in a relatively short period by most schools. The example traces the diffusion of the modern math method among school systems which combine elementary and secondary programs in Allegheny County (Pennsylvania, USA). All school superintendents who were at least two years in office were interviewed. They are the gatekeepers to educational innovation because they are in the position to make the final decision. The researchers obtained data from 61 out of 68 superintendents, 51 of whom had adopted by 1963 (84%). Among other things, the superintendents were asked to indicate their friendship ties with other superintendents in the county with the following question: Among the chief school administrators in Allegheny County, who are your three best friends?, , The researcher analysed the friendship choices among the 38 interviewed superintendents who adopted the method and were in position at least one year before the first adoption, so they could have adopted earlier. Unfortunately, the researcher did not include the friendship choices by superintendents who did not receive any choices themselves; they are treated as isolates. In the original network, some friendship choices are reciprocated and others are not (ModMath_directed.net) but we will use the symmetrized network (ModMath.net). A line in this network indicates that at least one superintendent chooses the other as his friend. The year of adoption by a superintendent's school is coded in the partition ModMath_adoption.clu: 1958 is class (time) one, 1959 is class (time) two, etc. The first adopter (v1) is a superintendent with many contacts outside Allegheny County but few friends within the county. He is a 'cosmopolite' and cosmopolites usually are early adopters but they are often too innovative to be influential in a local network. 2 2 2 3 3 3 2 2 2
130 NetScience A co-authorship network of scientists working on network theory and experiment, as compiled by M. Newman in May 2006. The network was compiled from the bibliographies of two review articles on networks, M. E. J. Newman, SIAM Review 45, 167-256 (2003) and S. Boccaletti et al., Physics Reports 424, 175-308 (2006), with a few additional references added by hand. The version given here contains all components of the network, for a total of 1589 scientists, and not just the largest component of 379 scientists previously published. The network is weighted, with weights assigned as described in M. E. J. Newman, Phys. Rev. E 64, 016132 (2001). 2 2 2 3 3 3 2 2 2
131 Newcomb Fraternity These 15 matrices record weekly sociometric preference rankings from 17 men attending the University of Michigan in the fall of 1956; data from week 9 are missing. A "1" indicates first preference, and no ties were allowed., , The men were recruited to live in off-campus (fraternity) housing, rented for them as part of the Michigan Group Study Project supervised by Theodore Newcomb from 1953 to 1956. All were incoming transfer students with no prior acquaintance of one another. 2 2 2 3 3 3 2 2 2
132 Prison In the 1950s John Gagnon collected sociometric choice data from 67 prison inmates. All were asked, "What fellows on the tier are you closest friends with?" Each was free to choose as few or as many "friends" as he desired. The data were analysed by MacRae and characterized by him as "less clear cut" in their internal structure than similar data from schools or residential populations. 2 2 2 3 3 3 2 2 2
133 Ragusan Ragusa, which is now known as Dubrovnik (Croatia, Europe), was settled on the coast of the Adriatic Sea in the 7th century. For a time, it was under Byzantine protection, becoming a free commune as early as the 12th century. Napoleon, having destroyed the Venetian Republic in 1797, put an end to the Republic of Ragusa in 1806. It came under Austrian control until the fall of the Austro-Hungarian monarchy in 1918., , In Ragusa, all political power was in the hands of male nobles older than 18 years. They were members of the Great Council (Consilium majus) which had the legislative function. Every year, 11 members of the Small Council (Consilium minus) were elected. Together with a duke, the Small Council had both executive and representative functions. The main power was in the hands of the Senat (Consilium rogatorum) which had 45 members elected for one year. This organization prevented any single family, unlike the Medici in Florence, from prevailing. Nevertheless the historians agree that the Sorgo family was all the time among the most influential., , The Ragusan nobility evolved in the 12th century through the 14th century and was finally established by statute in 1332. After 1332, no new family was accepted until the large earthquake in 1667. A major problem facing the Ragusan noble families was that by decreases of their numbers and the lack of noble families in the neighbouring areas, which were under Turkish control, they became more and more closely related - marriages between relatives in the 3rd and 4th remove were frequent. It is interesting to analyse how families of a privileged social class organized their relations by marriage and how they coped with the limited number of potential spouses for their children. 2 2 2 3 3 3 2 2 2
134 SanJuanSur In 1948, American sociologists executed a large field study in the Turrialba region, which is a rural area in Costa Rica (Latin America). They were interested in the impact of formal and informal social systems on social change. Among other things, they investigated visiting relations between families living in haciendas (farms) in a neighborhood called San Juan Sur. The network of visiting ties is a simple directed graph: each arc represents "frequent visits" from one family to another. The exact number of visits was not recorded. Line values classify the visiting relation as ordinary (value one), visits among kin (value two), and visits among ritual kin, i.e., between god-parent and god-child. 2 2 2 3 3 3 2 2 2
135 Sampson Monastery Sampson recorded the social interactions among a group of monks while resident as an experimenter on vision, and collected numerous sociometric rankings. During his stay, a political "crisis in the cloister" resulted in the expulsion of four monks (Nos. 2, 3, 17, and 18) and the voluntary departure of several others - most immediately, Nos. 1, 7, 14, 15, and 16. (In the end, only 5, 6, 9, and 11 remained)., , Most of the present data are retrospective, collected after the breakup occurred. They concern a period during which a new cohort entered the monastery near the end of the study but before the major conflict began. The exceptions are "liking" data gathered at three times: SAMPLK1 to SAMPLK3 - that reflect changes in group sentiment over time (SAMPLK3 was collected in the same wave as the data described below). Information about the senior monks was not included., , Four relations are coded, with separate matrices for positive and negative ties on the relation. Each member ranked only his top three choices on that tie. The relations are esteem (SAMPES) and disesteem (SAMPDES), liking (SAMPLK) and disliking (SAMPDLK), positive influence (SAMPIN) and negative influence (SAMPNIN), praise (SAMPPR) and blame (SAMPNPR). In all rankings 3 indicates the highest or first choice and 1 the last choice. (Some subjects offered tied ranks for their top four choices). 2 2 2 3 3 3 2 2 2
136 Sawmill This is a communication network within a small enterprise: a sawmill. All employees were asked to indicate the frequency with which they discussed work matters with each of their colleagues on a five-point scale ranging from less than once a week to several times a day. Two employees were linked in the communication network if they rated their contact as three or more. We do not know whether both employees had to rate their tie in this way or that at least one employee had to indicate a strength of three or more., , In the sawmill, the employees are Spanish-speaking (H) or English- speaking (E), which, of course, is relevant to their communication. The sawmill contains two main sections: the mill (M), where tree trunks are sawn into logs, and the planer section (P), where logs are planed. Then there is a yard (Y) where two employees are working, and some managers and additional officials. Vertex labels indicate the ethnicity and the type of work of each employee, e.g. HP-10 is an Hispanic (H) working in the planer section (P). 2 2 2 3 3 3 2 2 2
137 Scotland This dataset contains the corporate interlocks in Scotland in the beginning of the twentieth century (1904-5). In the nineteenth century, the industrial revolution brought Scotland railways and industrialization, especially heavy industry and textile industry. The amount of capital needed for these large scale undertakings exceeded the means of private families, so joint stock companies were established, which could raise the required capital. Joint stock companies are owned by the shareholders, who are represented by a board of directors. This opens up the possibility of interlocking directorates. By the end of the nineteenth century, joint stock companies had become the predominant form of business enterprise at the expense of private family businesses. Families, however, still exercised control through ownership and directorships., , The data are taken from the book The Anatomy of Scottish Capital by John Scott and Michael Hughes. It lists the (136) multiple directors of the 108 largest joint stock companies in Scotland in 1904-5: 64 non-financial firms, 8 banks, 14 insurance companies, and 22 investment and property companies (Scotland.net). In this dataset, which was compiled from the Appendix of Scott & Hughes' book, note that two multiple directors (W.S. Fraser and C.D. Menzies) are affiliated with just one board so they are not multiple directors in the strict sense., , The companies are classified according to industry type: 1 - oil & mining, 2 - railway, 3 - engineering & steel, 4 - electricity & chemicals, 5 - domestic products, 6 - banks, 7 - insurance, and 8 - investment. In addition, there is a vector specifying the total capital or deposits of the firms in 1,000 pound sterling. 2 2 2 3 3 3 2 2 2
138 Stranke94 Relations between Slovene parliamentary political parties: , , SKD - Slovene Christian Democrats;, ZLSD - Associated List of Social Democrats;, SDSS - Social Democratic Party of Slovenia;, LDS - Liberal Democratic Party;, ZSESS - first of two Green Parties, separated after 1992 elections;, ZS - second Green Party;, DS - Democratic Party;, SLS - Slovene People's Party;, SNS - Slovene National Party;, SPS SNS - a group of deputies, former members of SNS, separated after 1992 elections, were estimated by the members of the Slovene National Parliament. So the respondents were well informed and competent to give such estimations. In the questionnaire designed by a group of experts on Parliament activities, some questions about the political space and its dimensions were included and the following question about relations between parliamentary political parties: , , If various criteria (or various dimensions of the political space) are taken into account, some parties are by average closer than others. How would you personally estimate distances between pairs of parties in the political space? , , Please, estimate the distance between each pair of parties on the scale from -3 to +3, where: , , -3 means that parties are very dissimilar;, -2 means that parties are quite dissimilar;, -1 means that parties are dissimilar;, 0 means that parties are neither dissimilar nor similar (somewhere in between);, +1 means that parties are similar;, +2 means that parties are quite similar;, +3 means that parties are very similar., , To collect estimations each respondent was given a 10-party by 10-party table with empty cells in the upper triangle. The diagonal and the lower triangle were coloured in black. Each respondent had to estimate relations between 45 pairs of parties., The measures of central tendency were computed on the basis of the estimations given by 72 out of 90 members of the Parliament. 17 members of the Parliament were not available at the time of interviewing and one refused respond. 64 respondents out of the 72 estimated all 45 requested party relations. Only two out of 8 respondents with missing values have a large number of missing values (namely 40), the rest of them have 5 to 10 missing values. As far as the parties (variables) are considered, there are from 0 to 8 missing values and a recognisable pattern: relations involving ZS (which had no representatives in the Parliament at the time of interviewing) include from 6 to 8 missing values, others from 0 to 3 missing values., , The weights of arcs in the network are averages of values multiplied by 100 and rounded. The missing values were excluded. 2 2 2 3 3 3 2 2 2
139 Strike In a wood-processing facility, a new management team proposed changes to the workers' compensation package, which the workers did not accept. They started a strike, which led to a negotiation stalemate. Then, management asked an outsider to analyse the communication structure among the employees because it felt that information about the proposed changes was not effectively communicated to all employees by the union negotiators., , The outside consultant asked all employees to indicate the frequency in which they discussed the strike with each of their colleagues on a 5-point scale, ranging from 'almost never' (less then once per week) to 'very often' (several times per day). The consultant used three as a cut-off value. If at least one of two persons indicated that they discussed work with a frequency of three or more, a line between them was added to the informal communication network., , The network displays fairly stringent demarcations between groups defined on age and language. The Spanish-speaking young employees, who are of age 30 or younger, are almost disconnected from the English- speaking young employees, who communicate with no more than two of the older English-speaking employees., , All ties between groups have special backgrounds. Among the Hispanics, Alejandro is most proficient in English and Bob speaks some Spanish, which explains their tie. Bob owes Norm for getting his job and probably because of this, they developed a friendship tie. Finally, Ozzie is the father of Karl. 2 2 2 3 3 3 2 2 2
140 Szcid These data come from a six-year research project, concluded in 1976, on corporate power in nine European countries and the United States. Each matrix represents corporate interlocks among the major business entities of two countries - the Netherlands (SZCID) and West Germany (SZCIG)., , The volume describing this study, referenced below, includes six chapters on network theoretical and analytical issues related to data of this type. 2 2 2 3 3 3 2 2 2
141 Szcig These data come from a six-year research project, concluded in 1976, on corporate power in nine European countries and the United States. Each matrix represents corporate interlocks among the major business entities of two countries - the Netherlands (SZCID) and West Germany (SZCIG)., , The volume describing this study, referenced below, includes six chapters on network theoretical and analytical issues related to data of this type. 2 2 2 3 3 3 2 2 2
142 Taro These data represent the relation of gift-giving (taro exchange) among 22 households in a Papuan village. Hage & Harary (1983) used them to illustrate a graph Hamiltonian cycle. Schwimmer points out how these ties function to define the appropriate persons to mediate the act of asking for or receiving assistance among group members. 2 2 2 3 3 3 2 2 2
143 Thurman Office Thurman spent 16 months observing the interactions among employees in the overseas office of a large international corporation. During this time, two major disputes erupted in a subgroup of fifteen people. Thurman analysed the outcome of these disputes in terms of the network of formal and informal associations among those involved., , THURA shows the formal organizational chart of the employees and THURM the actors linked by multiplex ties. 2 2 2 3 3 3 2 2 2
144 Trade The Trade Dataset. 2 2 2 3 3 3 2 2 2
145 Wiring These are the observational data on 14 Western Electric (Hawthorne Plant) employees from the bank wiring room first presented in Roethlisberger & Dickson (1939). The data are better known through a scrutiny made of the interactions in Homans (1950), and the CONCOR analyses presented in Breiger et al (1975)., , The employees worked in a single room and include two inspectors (I1 and I3), three solderers (S1, S2 and S3), and nine wiremen or assemblers (W1 to W9). The interaction categories include: RDGAM, participation in horseplay; RDCON, participation in arguments about open windows; RDPOS, friendship; RDNEG, antagonistic (negative) behavior; RDHLP, helping others with work; and RDJOB, the number of times workers traded job assignments. 2 2 2 3 3 3 2 2 2
146 Citeulike Posts and paper titles This data was crawled from Citeulike during June and July of 2009, starting from selected users, and then jumping to their neighbours (that tagged the same papers). 2 2 2 3 3 3 2 2 2
147 DISAMBIGUATION AND CO-AUTHORSHIP NETWORKS OF THE U.S. PATENT INVENTOR DATABASE (1975 - 2010) Using a Bayesian supervised learning approach, we identify individual inventors from the U.S. utility patent database, from 1975 to the present. An interface to calculate and illustrate patent co-authorship networks and social network measures is also provided. The network representation does not require bounding the social network beforehand. We provide descriptive statistics of individual and collaborative variables and illustrate examples of networks for an individual, an organization, a technology, and a region. The paper provides an overview of the technical algorithms and pointers to the data, code, and documentation, with the hope of further open development by the research community. 2 2 2 3 3 3 2 2 2
148 10 MILLION INTERNATIONAL DYADIC EVENTS When the Palestinians launch a mortar attack into Israel, the Israeli army does not wait until the end of the calendar year to react. Yet, most modern data collections are aggregated to the month or year. The data available here include almost 10 million individual events, each coded to the exact day they occur or become known. Each event is summarized in the data as "Actor A does something to Actor B", with Actors A and B recording about 450 countries and other (within-country) actors and "does something to" coded in an ontology of about 200 types of actions. The data are coded by computer from millions of Reuters news reports. The software system (produced by VRA) that performs this task has been independently evaluated by King and Lowe (2003). This article found that for the numbers of events it was possible to convince humans (trained Harvard undergraduates) to code by hand, the machine did as well as the humans. For much larger numbers of events for which no expert coder could keep up, the machine dominates. 2 2 2 3 3 3 2 2 2
149 Meetup Event This dataset is crawled from plancast.com from Jan 2012 to Feb 2012. Plancast.com is also an online social event service. On Plancast, social events are created by users by specifying when, where and what the event is. However, unlike Meetup that use online group to distribution social events to others, Plancast allow users to subscribe to each other (similar to twitter). That is, if user A subscribes to user B, social events created by B are pushed to user A. In additional to these push methods, public social events are also made available to others on their website. Similar to Meetup, Plancast users may also express their intent to join the events by RSVP ("yes", "no" or "maybe") online., This dataset contains all the crawled user event participations as well as user subscription links. All the data are also anonymized. 2 2 2 3 3 3 2 2 2
150 Plancast Event This dataset is crawled from plancast.com from Jan 2012 to Feb 2012. Plancast.com is also an online social event service. On Plancast, social events are created by users by specifying when, where and what the event is. However, unlike Meetup that use online group to distribution social events to others, Plancast allow users to subscribe to each other (similar to twitter). That is, if user A subscribes to user B, social events created by B are pushed to user A. In additional to these push methods, public social events are also made available to others on their website. Similar to Meetup, Plancast users may also express their intent to join the events by RSVP ("yes", "no" or "maybe") online., This dataset contains all the crawled user event participations as well as user subscription links. All the data are also anonymized. 2 2 2 3 3 3 2 2 2
151 AIDS blogs Network of citations among blogs related to AIDS, patients, and their support networks, collected by Gopal, over a three-day period in August 2005. 2 2 2 3 3 3 2 2 2
152 Facebook100 I am proud to finally be able to announce the public debut of the Facebook100 data set, which includes the complete set of people and friendships from the Facebook networks of 100 different colleges and universities from a single snapshot from September 2005. (It also has limited demographic data---in anonymized form, obviously.) , , My collaborators and I had released the Facebook5 data set (containing the complete networks for 5 institutions) a couple of years ago when we submitted our first paper on Facebook networks, and we were hoping to quickly finish the sequel paper and release the data for the other 95 institutions, but unfortunately the research and associated paper has taken about 2 years longer than we had anticipated. That's par for the course in science. 2 2 2 3 3 3 2 2 2
153 loc-Gowalla Gowalla location based online social network 2 2 2 3 3 3 2 2 2
154 loc-Brightkite Brightkite location based online social network 2 2 2 3 3 3 2 2 2
155 D4D Challenge on Mobile Phone Data hs. The dataset contains the communication subgraphs for 5; 000 randomly selected individuals (egos). For these individuals, com- munications within their second order neighborhood have been divided into periods of two weeks spanning the entire observation period. For constructing an ego-centered graph, one consider rst and second order neighbours of the ego and communications between all individuals (we do however not include communications between second order neighbours). 2 2 2 3 3 3 2 2 2
156 ego-Gplus Social circles from Google+ 2 2 2 3 3 3 2 2 2
157 ego-Twitter Social circles from Twitter 2 2 2 3 3 3 2 2 2
158 EuroSiS web mapping study EuroSiS web mapping study: Mapping interactions between Science in Society actors on the Web of 12 European countries. Original report and data can be found 2 2 2 3 3 3 2 2 2
159 CPAN authors CPAN Explorer is a visualization project aiming at analysing the relationships between the developers and the packages of the Perl language, known to be organized as the CPAN community. This snapshot was created by Linkfluence in July 2009. This file contains the network of developers, linked when they use the same Perl module. Original data can be found here. 2 2 2 3 3 3 2 2 2
160 CPAN distributions CPAN Explorer is a visualization project aiming at analysing the relationships between the developers and the packages of the Perl language, known to be organized as the CPAN community. This snapshot was created by Linkfluence in July 2009. This file contains the network of Perl modules dependencies. Original data can be found 2 2 2 3 3 3 2 2 2
161 The Marvel Social Network Networks of super heroes, constructed by Cesc Rosselló, Ricardo Alberich, and Joe Miro from the University of the Balearic Islands. Collected by Infochimps and transformed & enhanced by Kai Chang. 2 2 2 3 3 3 2 2 2
162 Squeak Foundation Squeak Foundation is a Web community site which uses the same software which powers the Advogato web community site, mod virgule. The site is for and can be browsed at http://people.squeakfoundation.org, The Squeak Foundation dataset is much smaller than the Advogato dataset and so very useful for testing trust metrics for bugs. A daily snapshot of the graph.dot file, collected since December 14 2007, is available in this directory: http://www.trustlet.org/datasets/squeakfoundation/, Just as the Advogato dataset is weighted (but much smaller): directed edges between nodes are specified on a 3 levels base, Apprentice, Journeyer, and Master. 2 2 2 3 3 3 2 2 2
163 Kaitiaki dataset Kaitiaki is a Web community site which uses the same software which powers the Advogato web community site, mod virgule. The site is for Kaitiaki M?ori, working on behalf of whanau, hapu and iwi, particularly on environment and resource management issues and can be browsed at http://www.kaitiaki.org.nz/virgule/, The Kaitiaki dataset is much smaller than the Advogato dataset and so very useful for testing trust metrics for bugs. A daily snapshot of the graph.dot file, collected since October 13 2007, is available in this directory: http://www.trustlet.org/datasets/kaitiaki/, The very interesting characteristics of Kaitiaki dataset (just as Advogato dataset) is that trust statements are weighted at four different levels:, Kaitiro - observers (people waiting to be welcomed), Te Hunga Manuhiri - visitors (newcomers), Te Hunga Käinga - full members - also members of the incorporated society, Te Komiti Whakahaere - the executive members of the society, (in Advogato they were Observer, Apprentice, Journeyer, and Master). 2 2 2 3 3 3 2 2 2
164 Robots.net Robots.net is a Web community site related to robotics, which uses the same software which powers the Advogato web community site, mod virgule. The site is for and can be browsed at http://robots.net, A daily snapshot of the Robots.net dataset, collected since May 10 2008, is available in this directory: http://www.trustlet.org/datasets/robots_net/, Just as the Advogato dataset is weighted: directed edges between nodes are specified on a 3 levels base, Apprentice, Journeyer, and Master., The dataset is also included in the net_flow Python wrapper by Titus Brown. 2 2 2 3 3 3 2 2 2
165 Social Evolution data set The Social Evolution data set contains surveys and sensor data about the diffusion of political opinions, diet, exercise, obesity, eating habits, epidemiological contagion, depression and stress, political issues through interpersonal relationships about 70 residents of an undergraduate dormitory. These residents represent 80% of the total population - most of the remaining 20% per cent of residents that declined to participate citing privacy concerns were spatially-isolated., , We conducted the Social Evolution experiment to closely track the everyday life of a whole undergraduate dormitory with mobile phones, so that social scientists can validate their models against the spatio-temporal patterns and behavior-network co-evolution as contained in this data. The Social Evolution experiment covered the locations, proximities, and phone calls of more than 80% of residents who lived in the dormitory used in the Social Evolution experiment, as captured by their cell phones from October 2008 to May 2009. This dormitory has a population of approximately 30 freshmen, 20 sophomores, 10 juniors, 10 seniors and 10 graduate student tutors., , This experiment was designed to study the adoption of political opinions, diet, exercise, obesity, eating habits, epidemiological contagion, depression and stress, dorm political issues, interpersonal relationships, and privacy., , Data collection includes proximity, location, and call log, collected through a cell-phone application that scans nearby Wi-Fi access points and Bluetooth devices every six minutes — referenced to the latitudes and longitudes of the Wi-Fi access points. Survey data includes Sociometric survey for relationships (choose from friend, acquaintance, or do not know), Political opinions (democratic vs. republican), Recent smoking behavior, Attitudes towards exercise and fitness, Attitudes towards diet, Attitudes towards academic performance, Current confidence and anxiety level, music sharing from 1500 independent music tracks from a wide assortment of genres. The data are protected by MIT COUHES and related laws. 2 2 2 3 3 3 2 2 2
166 The Badge data set The Badge data set contains the performance, behavior, and interpersonal interactions of participating employees at a Chicago-area data server configuration firm for one month. It is the first data set to contain the performance and dynamics of a real-world organization with a temporal resolution of a few seconds. It is downloadable from the following link, 2 2 2 3 3 3 2 2 2
167 G3 - Yahoo! Groups User-Group Membership Bipartite Graph, version 1.0 (93 MB) Millions of communities and groups use Yahoo! Groups as a meeting place and forum to discuss mutual interests on nearly any topic. This dataset contains a sample of the "membership graph" of Yahoo! Groups, where both users and groups are represented as meaningless anonymous numbers so that no identifying information is revealed. Users and groups are nodes in the membership graph, with edges indicating that a user is a member of a group. The dataset consists only of the anonymous bipartite membership graph, and does not contain any information about users, groups, or discussions. The Yahoo! Groups membership graph is an example of a large real-world power-law graph. The dataset may serve as a testbed for matrix and graph algorithms including PCA and graph clustering algorithms, as well as machine learning algorithms. The size of this dataset is 93 MB., , Here are all the papers published on this Webscope Dataset:, Fixing two weaknesses of the Spectral Method, Affinity in Distributed Systems 2 2 2 3 3 3 2 2 2
168 G5 - Yahoo! Messenger User Communication Pattern (32 MB) This dataset contains a small sample of the Yahoo! Messenger community's communication (IM) log at a high level for a period of 4 weeks. Specifically, this dataset only records the first communication event from one user to another on a particular day, and generates such records for a period of 28 days. This dataset does not contain any specific IM content, or user identification. It is only intended to help identify the social graph based on communication patterns between a small subset of the total number of Yahoo! Messenger users. This dataset also has some information regarding the locale of users in an anonymous form. The dataset may be used by researchers to validate claims on social networking theory and corroborate their assumptions/analysis against a real time social network graph consisting of a small subset of Yahoo! Messenger users. The total size for this dataset is 32 MB., , All datasets have been reviewed to conform to Yahoo!'s data protection standards, including strict controls on privacy. We have a number of datasets that we are excited to share with you. Learn how to get involved. 2 2 2 3 3 3 2 2 2
169 G6 - Yahoo! Instant Messenger Friends Connectivity Graph (28 MB) Millions use Yahoo! Messenger every day to communicate by text or by voice between PCs or from PCs to phones. This dataset contains a sample of the Yahoo! Messenger "friends graph", where users are represented as meaningless anonymous numbers so that no identifying information is revealed. Users are nodes in the graph, with edges indicating that a user is a friend of another user. The dataset consists only of the anonymous friends graph, and does not contain any information about users or discussions. The Yahoo! Messenger friends graph is an example of a large real-world power-law graph. The dataset may serve as a testbed for matrix and graph algorithms including PCA and graph clustering algorithms, as well as machine learning algorithms. The total size for this dataset is 28 MB., , All datasets have been reviewed to conform to Yahoo!'s data protection standards, including strict controls on privacy. We have a number of datasets that we are excited to share with you. Learn how to get involved. 2 2 2 3 3 3 2 2 2
170 G7 - Yahoo! Property and Instant Messenger Data use for a Sample of Users, v.1.0 (4.3 Gbyte) (Hosted on AWS) This dataset was generated starting with a sample of Yahoo! users as a seed list, then following their IM communication links out two steage, gender), Yahoo! property use, and characteristics of users' mobile devices. The size of this dataset is 4.3 Gbyte., , All datasets have been reviewed to conform to Yahoo!'s data protection standards, including strict controls on privacy. We have a number of datasets that we are excited to share with you. Learn how to get involved. 2 2 2 3 3 3 2 2 2
171 Slashdot Zoo This is the signed social network of users of the technology news site Slashdot (slashdot.org), connected by directed "friend" and "foe" relations. The "friend" and "foe" labels are used on Slashdot to mark users, and influence the scores as seen by each user. For instance, If user A marks user B as a foe, the score of user B's posts will be decreased as shown to user A. 2 2 2 3 3 3 3 3 3
172 Reality Mining Dataset The goal of this experiment was to explore the capabilities of the smart phones that enabled social scientists to investigate human interactions beyond the traditional survey based methodology or the traditional simulation base methodology. The subjects were 75 students or faculty in the MIT Media Laboratory, and 25 incoming students at the MIT Sloan business school adjacent to the Media Laboratory. Of the 75 Media Lab participants, 20 were incoming masters students and 5 were incoming MIT freshman, and the rest had remained in the Media Lab for at least a year., , According to our knowledge, the Reality Mining experiment conducted in 2004 was the first to study community dynamics by tracking a sufficient amount people with their personal mobile phones and resulted in the first mobile data set with rich personal behavior and interpersonal interactions. Prior to this experiment, cell phones were not powerful enough to track people. 0 2 2 2 3 3 3 2 2 2
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