Academic

322 datasets tagged as the topic “Academic” or one of its subtopics.

322 datasets — page 4 of 7.

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Stack Exchange — opendata.stackexchange.com Analyzed

A Stack Exchange (opendata.stackexchange.com) dataset of 4,162 users, 5,921 answer-collaboration edges, 6,180 questions, 7,265 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from opendata.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

32.6K records4.2K nodes5.9K edges2025

Facebook MSU24 Network (FB100) Analyzed

A Facebook (MSU24, September 2005) dataset of 32,375 users and 1,118,774 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (272 unique), dorm (120 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0062, major homophily: 0.0399.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

32.4K records32.4K nodes1.1M edges2012

Stack Exchange — tor.stackexchange.com Analyzed

A Stack Exchange (tor.stackexchange.com) dataset of 4,575 users, 5,884 answer-collaboration edges, 5,792 questions, 7,087 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from tor.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

32.3K records4.6K nodes5.9K edges2025

Stack Exchange — patents.stackexchange.com Analyzed

A Stack Exchange (patents.stackexchange.com) dataset of 4,098 users, 5,639 answer-collaboration edges, 4,675 questions, 7,197 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from patents.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

31.8K records4.1K nodes5.6K edges2025

Facebook Texas80 Network (FB100) Analyzed

A Facebook (Texas80, September 2005) dataset of 31,560 users and 1,219,650 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (126 unique), dorm (106 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0945, major homophily: 0.06.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

31.6K records31.6K nodes1.2M edges2012

Stack Exchange — bricks.stackexchange.com Analyzed

A Stack Exchange (bricks.stackexchange.com) dataset of 3,657 users, 6,018 answer-collaboration edges, 4,667 questions, 7,316 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from bricks.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

31.2K records3.7K nodes6K edges2025

Stack Exchange — devops.stackexchange.com Analyzed

A Stack Exchange (devops.stackexchange.com) dataset of 4,196 users, 5,632 answer-collaboration edges, 5,688 questions, 7,309 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from devops.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

30.9K records4.2K nodes5.6K edges2025

Linux Kernel Call Graph Analyzed

A Linux kernel source code (function call graph) dataset of 30,837 nodes and 213,954 edges, collected by KONECT via static analysis of Linux kernel. Each record contains directed: True, weighted: False. Directed call graph of the Linux kernel — nodes are functions, edges are function calls.. Suitable for software network analysis, dependency network research, community detection.

30.8K records30.8K nodes214K edges2013

Facebook UIllinois20 Network (FB100) Analyzed

A Facebook (UIllinois20, September 2005) dataset of 30,809 users and 1,264,428 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (49% male, 51% female), graduation year, major (169 unique), dorm (155 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1127, major homophily: 0.0504.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

30.8K records30.8K nodes1.3M edges2012

Stack Exchange — materials.stackexchange.com Analyzed

A Stack Exchange (materials.stackexchange.com) dataset of 1,106 users, 2,902 answer-collaboration edges, 3,915 questions, 4,237 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from materials.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

30.7K records1.1K nodes2.9K edges2025

Facebook Michigan23 Network (FB100) Analyzed

A Facebook (Michigan23, September 2005) dataset of 30,147 users and 1,176,516 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (154 unique), dorm (105 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0753, major homophily: 0.0606.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

30.1K records30.1K nodes1.2M edges2012

Stack Exchange — genealogy.stackexchange.com Analyzed

A Stack Exchange (genealogy.stackexchange.com) dataset of 2,329 users, 4,090 answer-collaboration edges, 3,727 questions, 6,076 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from genealogy.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

30.1K records2.3K nodes4.1K edges2025

Facebook Indiana69 Network (FB100) Analyzed

A Facebook (Indiana69, September 2005) dataset of 29,747 users and 1,305,765 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (54% male, 46% female), graduation year, major (152 unique), dorm (97 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0151, major homophily: 0.0436.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

29.7K records29.7K nodes1.3M edges2012

arXiv hep-ph Co-authorship Network Analyzed

The co-authorship network of the arXiv High Energy Physics – Phenomenology (hep-ph) section, as distributed by KONECT (ca-cit-HepPh), from SNAP's arXiv data: 28,093 authors linked by 4,596,803 collaboration records, one for each pair of authors on a paper, published between March 1992 and March 2002. The records form 3,148,447 distinct co-author pairs, each timestamped with its paper's date. Useful for studying scientific collaboration, the growth and densification of networks over time, and community structure.

28.1K records28.1K nodes3.1M edges2007

arXiv HEP-TH Citation Network Analyzed

A arXiv High Energy Physics — Theory (1991–2003) dataset of 27,770 nodes and 352,807 edges, collected by J. Leskovec et al. via arXiv. Each record contains directed: True, weighted: False. Citation network of HEP-TH papers on arXiv — directed, covers theoretical physics literature.. Suitable for citation network analysis, academic influence, graph mining.

27.8K records27.8K nodes352.8K edges2007

Facebook FSU53 Network (FB100) Analyzed

A Facebook (FSU53, September 2005) dataset of 27,737 users and 1,034,802 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (138 unique), dorm (134 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0393, major homophily: 0.0429.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

27.7K records27.7K nodes1M edges2012

Stack Exchange — portuguese.stackexchange.com Analyzed

A Stack Exchange (portuguese.stackexchange.com) dataset of 1,353 users, 2,956 answer-collaboration edges, 2,520 questions, 4,400 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from portuguese.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

27.6K records1.4K nodes3K edges2025

Stack Exchange — hardwarerecs.stackexchange.com Analyzed

A Stack Exchange (hardwarerecs.stackexchange.com) dataset of 2,641 users, 3,472 answer-collaboration edges, 4,354 questions, 4,064 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from hardwarerecs.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

27.3K records2.6K nodes3.5K edges2025

Stack Exchange — computergraphics.stackexchange.com Analyzed

A Stack Exchange (computergraphics.stackexchange.com) dataset of 1,955 users, 3,120 answer-collaboration edges, 4,024 questions, 4,126 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from computergraphics.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

26.7K records2K nodes3.1K edges2025

Stack Exchange — martialarts.stackexchange.com Analyzed

A Stack Exchange (martialarts.stackexchange.com) dataset of 2,074 users, 5,256 answer-collaboration edges, 2,307 questions, 6,874 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from martialarts.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

26.6K records2.1K nodes5.3K edges2025

Stack Exchange — substrate.stackexchange.com Analyzed

A Stack Exchange (substrate.stackexchange.com) dataset of 1,304 users, 3,681 answer-collaboration edges, 4,891 questions, 5,362 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from substrate.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

25.1K records1.3K nodes3.7K edges2025

Math Overflow Temporal Network — All Interactions Analyzed

A Math Overflow (ALL) dataset of 24,818 users and 239,978 temporal edges, collected by Paranjape, Benson, Leskovec via Stack Exchange Data Dump (2017). Each record contains directed temporal edges (all) between users with Unix timestamps. The dataset is notable for its ALL interaction type from a 6.4-year temporal network of academic Q&A. Intended for research into temporal network analysis, motif discovery, social interaction dynamics, and academic community analysis.

24.8K records24.8K nodes240K edges2017

Facebook Rutgers89 Network (FB100) Analyzed

A Facebook (Rutgers89, September 2005) dataset of 24,580 users and 784,602 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (129 unique), dorm (112 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0309, major homophily: 0.0585.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

24.6K records24.6K nodes784.6K edges2012

Facebook UGA50 Network (FB100) Analyzed

A Facebook (UGA50, September 2005) dataset of 24,389 users and 1,174,057 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (59% male, 41% female), graduation year, major (218 unique), dorm (67 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1045, major homophily: 0.0323.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

24.4K records24.4K nodes1.2M edges2012

Stack Exchange — monero.stackexchange.com Analyzed

A Stack Exchange (monero.stackexchange.com) dataset of 2,096 users, 3,667 answer-collaboration edges, 4,460 questions, 5,352 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from monero.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

24.4K records2.1K nodes3.7K edges2025

Facebook Wisconsin87 Network (FB100) Analyzed

A Facebook (Wisconsin87, September 2005) dataset of 23,842 users and 835,952 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (265 unique), dorm (75 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0467, major homophily: 0.0371.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

23.8K records23.8K nodes836K edges2012

Cora Citation Network Analyzed

A Cora machine learning paper database dataset of 23,166 nodes and 91,500 edges, collected by McCallum et al.. Each record contains directed: True, weighted: False. Classic citation network of machine learning papers — one of the most used benchmarks for graph neural network node classification.. Suitable for graph neural networks, node classification, citation network analysis.

23.2K records23.2K nodes91.5K edges2013

Edinburgh Associative Thesaurus Network Analyzed

A Edinburgh Associative Thesaurus (word association study) dataset of 23,132 nodes and 312,310 edges, collected by G.R. Kiss et al.. Each record contains directed: True, weighted: True. Directed word association network from the Edinburgh Associative Thesaurus — edges connect stimulus words to response words.. Suitable for semantic network analysis, word association modeling, NLP.

23.1K records23.1K nodes312.3K edges1973

Facebook Berkeley13 Network (FB100) Analyzed

A Facebook (Berkeley13, September 2005) dataset of 22,937 users and 852,444 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (106 unique), dorm (217 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0513, major homophily: 0.0588.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

22.9K records22.9K nodes852.4K edges2012

Stack Exchange — solana.stackexchange.com Analyzed

A Stack Exchange (solana.stackexchange.com) dataset of 2,107 users, 4,172 answer-collaboration edges, 4,695 questions, 5,285 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from solana.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

22.4K records2.1K nodes4.2K edges2025

Math Overflow Temporal Network — A2Q Analyzed

A Math Overflow (A2Q) dataset of 21,688 users and 90,489 temporal edges, collected by Paranjape, Benson, Leskovec via Stack Exchange Data Dump (2017). Each record contains directed temporal edges (a2q) between users with Unix timestamps. The dataset is notable for its A2Q interaction type from a 6.4-year temporal network of academic Q&A. Intended for research into temporal network analysis, motif discovery, social interaction dynamics, and academic community analysis.

21.7K records21.7K nodes90.5K edges2017

Facebook NYU9 Network (FB100) Analyzed

A Facebook (NYU9, September 2005) dataset of 21,679 users and 715,715 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (60% male, 40% female), graduation year, major (109 unique), dorm (62 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: -0.0031, major homophily: 0.1059.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

21.7K records21.7K nodes715.7K edges2012

Stack Exchange — windowsphone.stackexchange.com Analyzed

A Stack Exchange (windowsphone.stackexchange.com) dataset of 2,452 users, 3,696 answer-collaboration edges, 3,441 questions, 4,586 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from windowsphone.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

21.5K records2.5K nodes3.7K edges2025

Stack Exchange — cseducators.stackexchange.com Analyzed

A Stack Exchange (cseducators.stackexchange.com) dataset of 1,478 users, 3,504 answer-collaboration edges, 1,208 questions, 4,690 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from cseducators.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

21.4K records1.5K nodes3.5K edges2025

Facebook Virginia63 Network (FB100) Analyzed

A Facebook (Virginia63, September 2005) dataset of 21,325 users and 698,178 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (44% male, 56% female), graduation year, major (72 unique), dorm (90 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0671, major homophily: 0.052.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

21.3K records21.3K nodes698.2K edges2012

Facebook Maryland58 Network (FB100) Analyzed

A Facebook (Maryland58, September 2005) dataset of 20,871 users and 744,862 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (97 unique), dorm (82 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0558, major homophily: 0.052.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

20.9K records20.9K nodes744.9K edges2012

Facebook UCLA26 Network (FB100) Analyzed

A Facebook (UCLA26, September 2005) dataset of 20,467 users and 747,613 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (197 unique), dorm (66 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0305, major homophily: 0.0452.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

20.5K records20.5K nodes747.6K edges2012

Stack Exchange — sustainability.stackexchange.com Analyzed

A Stack Exchange (sustainability.stackexchange.com) dataset of 1,650 users, 3,428 answer-collaboration edges, 2,154 questions, 4,294 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from sustainability.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

20.1K records1.6K nodes3.4K edges2025

Stack Exchange — stackapps.com Analyzed

A Stack Exchange (stackapps.com) dataset of 1,215 users, 1,783 answer-collaboration edges, 2,882 questions, 2,785 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from stackapps.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

20.1K records1.2K nodes1.8K edges2025

PubMed Network (GCN Benchmark) Analyzed

A PubMed dataset of 19,717 nodes, 44,327 edges, 3 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. PubMed network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.

19.7K records19.7K nodes44.3K edges2016

Facebook BU10 Network (FB100) Analyzed

A Facebook (BU10, September 2005) dataset of 19,700 users and 637,528 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (60% male, 40% female), graduation year, major (166 unique), dorm (66 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0205, major homophily: 0.069.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

19.7K records19.7K nodes637.5K edges2012

Stack Exchange — crafts.stackexchange.com Analyzed

A Stack Exchange (crafts.stackexchange.com) dataset of 1,901 users, 3,367 answer-collaboration edges, 2,305 questions, 4,280 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from crafts.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

19.2K records1.9K nodes3.4K edges2025

arXiv Astro-PH Collaboration Network Analyzed

A arXiv Astrophysics (collaboration network 1992–2003) dataset of 18,771 nodes and 198,050 edges, collected by J. Leskovec et al. via arXiv. Each record contains directed: False, weighted: False. Co-authorship network of astrophysics papers on arXiv — nodes are authors, edges connect co-authors.. Suitable for collaboration network analysis, community detection, academic social networks.

18.8K records18.8K nodes198.1K edges2007

Facebook Cornell5 Network (FB100) Analyzed

A Facebook (Cornell5, September 2005) dataset of 18,660 users and 790,777 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (48% male, 52% female), graduation year, major (104 unique), dorm (133 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0907, major homophily: 0.0884.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

18.7K records18.7K nodes790.8K edges2012

Facebook Auburn71 Network (FB100) Analyzed

A Facebook (Auburn71, September 2005) dataset of 18,448 users and 973,918 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (172 unique), dorm (79 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0946, major homophily: 0.04.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

18.4K records18.4K nodes973.9K edges2012

Facebook UNC28 Network (FB100) Analyzed

A Facebook (UNC28, September 2005) dataset of 18,163 users and 766,800 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (58% male, 42% female), graduation year, major (73 unique), dorm (93 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0598, major homophily: 0.0469.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

18.2K records18.2K nodes766.8K edges2012

Stack Exchange — poker.stackexchange.com Analyzed

A Stack Exchange (poker.stackexchange.com) dataset of 1,839 users, 3,720 answer-collaboration edges, 2,151 questions, 4,597 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from poker.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

18K records1.8K nodes3.7K edges2025

Facebook USC35 Network (FB100) Analyzed

A Facebook (USC35, September 2005) dataset of 17,444 users and 801,853 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (133 unique), dorm (130 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0861, major homophily: 0.0797.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

17.4K records17.4K nodes801.9K edges2012

Facebook Oklahoma97 Network (FB100) Analyzed

A Facebook (Oklahoma97, September 2005) dataset of 17,425 users and 892,528 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (157 unique), dorm (58 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1118, major homophily: 0.0366.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

17.4K records17.4K nodes892.5K edges2012

Facebook UConn91 Network (FB100) Analyzed

A Facebook (UConn91, September 2005) dataset of 17,212 users and 604,870 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (162 unique), dorm (119 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0118, major homophily: 0.047.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

17.2K records17.2K nodes604.9K edges2012