Knowledge sharing

wikis, Q&A, collaborative knowledge

216 datasets tagged as the topic “Knowledge sharing” or one of its subtopics.

216 datasets.

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DBpedia Knowledge Graph Network Analyzed

A DBpedia (structured Wikipedia knowledge base) dataset of 18,268,991 nodes and 136,537,566 edges, collected by DBpedia community via Wikipedia extraction. Each record contains directed: True, weighted: True. Large-scale RDF knowledge graph extracted from Wikipedia — multiple relation types (starring, genre, occupation, team, etc.) across millions of entities.. Suitable for knowledge graph completion, entity linking, semantic web research.

172.2M records18.3M nodes136.5M edges2007

Stack Exchange — math.stackexchange.com Analyzed

A Stack Exchange (math.stackexchange.com) dataset of 318,785 users, 1,665,884 answer-collaboration edges, 1,641,406 questions, 2,146,413 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 math.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..

12.5M records318.8K nodes1.7M edges2025

Wikipedia Hyperlinks (English) Analyzed

The wikilink network of the English Wikipedia, as distributed by KONECT (wikipedia_link_en), built from the Wikimedia dumps: 12,150,976 articles and 378,142,420 directed links between them, where a link from A to B means article A links to article B (article namespace only; 40,018 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 13,593,032 articles and 437,217,424 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian); at this size the analytics are computed on disk (Kuzu), with assortativity and bridges sampled. Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.

12.2M records12.2M nodes378.1M edges2013

English Wikipedia 2013 Hyperlink Network Analyzed

A Wikipedia (English edition, 2013 snapshot) dataset of 4,203,323 article nodes and 101,311,614 directed hyperlink edges, collected by Leskovec et al. via Wikipedia XML dump (SNAP, 2013). Each record contains source article ID, destination article ID (directed hyperlink). Complete English Wikipedia hyperlink graph from a 2013 snapshot — one of the largest hyperlink networks publicly available, capturing the full link structure of 4.2M Wikipedia articles.. Suitable for hyperlink network analysis, graph evolution studies, link prediction, Wikipedia structure research, large-scale directed graph algorithms.

4.2M records4.2M nodes101.3M edges2007

Stack Exchange — superuser.com Analyzed

A Stack Exchange (superuser.com) dataset of 299,863 users, 603,996 answer-collaboration edges, 505,136 questions, 732,567 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 superuser.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..

3.6M records299.9K nodes604K edges2025

Wikipedia English Talk Page Network Analyzed

A Wikipedia (English edition talk pages) dataset of 2,987,535 nodes and 9,379,561 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia English talk page interactions between editors.. Suitable for wiki collaboration analysis, temporal network analysis, community detection.

3M records3M nodes9.4M edges2016

Stack Exchange — askubuntu.com Analyzed

A Stack Exchange (askubuntu.com) dataset of 255,799 users, 434,011 answer-collaboration edges, 414,451 questions, 523,728 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 askubuntu.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..

2.9M records255.8K nodes434K edges2025

Wikipedia Talk Page Network Analyzed

A Wikipedia (English edition talk pages) dataset of 2,394,385 nodes and 5,021,410 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: False, temporal: False. Large directed temporal network of Wikipedia talk page interactions — 5M edges between 2.4M editors.. Suitable for wiki collaboration analysis, conflict detection, community detection.

2.4M records2.4M nodes5M edges2010

Stack Exchange — serverfault.com Analyzed

A Stack Exchange (serverfault.com) dataset of 169,020 users, 416,072 answer-collaboration edges, 325,169 questions, 514,457 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 serverfault.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..

2.2M records169K nodes416.1K edges2025

Stack Exchange — tex.stackexchange.com Analyzed

A Stack Exchange (tex.stackexchange.com) dataset of 77,851 users, 228,101 answer-collaboration edges, 259,202 questions, 330,587 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 tex.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..

2.2M records77.9K nodes228.1K edges2025

Zhishi.me Chinese Knowledge Graph Analyzed

A Zhishi.me (Chinese linked open data — Baidu Baike, Hudong) dataset of 2,141,300 nodes and 17,643,697 edges, collected by X. Niu et al.. Each record contains directed: True, weighted: True. Large Chinese knowledge graph network from Zhishi.me — directed links between Chinese encyclopedia entries.. Suitable for knowledge graph analysis, Chinese NLP, entity linking.

2.1M records2.1M nodes17.6M edges2011

Stack Exchange — electronics.stackexchange.com Analyzed

A Stack Exchange (electronics.stackexchange.com) dataset of 87,916 users, 268,871 answer-collaboration edges, 199,373 questions, 329,505 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 electronics.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..

2M records87.9K nodes268.9K edges2025

Wikipedia Article-Category Network Analyzed

A Wikipedia (English edition category system) dataset of 2,036,440 nodes and 3,795,796 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: False, weighted: False, temporal: False. Bipartite network of Wikipedia articles and the categories they belong to — useful for studying hierarchical knowledge organization.. Suitable for knowledge organization analysis, bipartite network analysis, Wikipedia category structure.

2M records2M nodes3.8M edges2010

Stack Exchange — physics.stackexchange.com Analyzed

A Stack Exchange (physics.stackexchange.com) dataset of 83,259 users, 278,777 answer-collaboration edges, 234,152 questions, 341,531 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 physics.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..

1.9M records83.3K nodes278.8K edges2025

Wikipedia Hyperlink Growth Network Analyzed

A Wikipedia (English edition hyperlink growth) dataset of 1,870,709 nodes and 39,953,145 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, temporal: True. Temporal directed network showing how Wikipedia's hyperlink structure grew over time — edges carry Unix timestamps of when links were added.. Suitable for temporal network analysis, knowledge graph evolution, Wikipedia growth modeling.

1.9M records1.9M nodes40M edges2009

Stack Exchange — unix.stackexchange.com Analyzed

A Stack Exchange (unix.stackexchange.com) dataset of 124,093 users, 280,381 answer-collaboration edges, 238,249 questions, 351,325 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 unix.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..

1.8M records124.1K nodes280.4K edges2025

Stack Exchange — english.stackexchange.com Analyzed

A Stack Exchange (english.stackexchange.com) dataset of 92,898 users, 250,097 answer-collaboration edges, 130,631 questions, 293,544 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 english.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..

1.5M records92.9K nodes250.1K edges2025

Stack Exchange — stats.stackexchange.com Analyzed

A Stack Exchange (stats.stackexchange.com) dataset of 82,658 users, 181,080 answer-collaboration edges, 213,761 questions, 208,986 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 stats.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..

1.5M records82.7K nodes181.1K edges2025

Wikipedia French Talk Page Network Analyzed

A Wikipedia (French edition talk pages) dataset of 1,420,367 nodes and 2,471,501 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia French talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

1.4M records1.4M nodes2.5M edges2016

Amazon QA — All Categories (Cumulative) Analyzed

A Amazon dataset of 1,396,896 QA pairs across 21 categories, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Comprehensive Amazon product Q&A data across 21 categories. Suitable for question answering, sentiment analysis, product understanding, conversational AI. The record count covers the single-answer files (qa_*.json.gz, one question and answer per line). The package also holds the multiple-answer release used in Wan and McAuley's ICDM 2016 paper (icdm/QA_*.json.gz, 17 categories: 172,617 products, 1,025,628 questions and 4,019,744 answers, with asker and answerer IDs and helpfulness votes), and McAuley's data page (index.html). Both are written as Python literals, not strict JSON (read them with ast.literal_eval).

1.4M records2016

Stack Exchange — mathoverflow.net Analyzed

A Stack Exchange (mathoverflow.net) dataset of 36,520 users, 142,188 answer-collaboration edges, 152,893 questions, 186,840 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 mathoverflow.net — 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..

1.3M records36.5K nodes142.2K edges2025

Stack Exchange — es.stackoverflow.com Analyzed

A Stack Exchange (es.stackoverflow.com) dataset of 65,529 users, 162,745 answer-collaboration edges, 195,926 questions, 213,634 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 es.stackoverflow.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..

1.3M records65.5K nodes162.7K edges2025

Wikipedia Chinese Talk Page Network Analyzed

A Wikipedia (Chinese edition talk pages) dataset of 1,219,241 nodes and 1,735,118 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Chinese talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

1.2M records1.2M nodes1.7M edges2016

Stack Exchange — meta.stackexchange.com Analyzed

A Stack Exchange (meta.stackexchange.com) dataset of 27,034 users, 108,639 answer-collaboration edges, 99,770 questions, 150,180 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 meta.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..

1.2M records27K nodes108.6K edges2025

Wikipedia Arabic Talk Page Network Analyzed

A Wikipedia (Arabic edition talk pages) dataset of 1,095,799 nodes and 1,564,598 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Arabic talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

1.1M records1.1M nodes1.6M edges2016

Stack Exchange — pt.stackoverflow.com Analyzed

A Stack Exchange (pt.stackoverflow.com) dataset of 53,831 users, 141,977 answer-collaboration edges, 153,504 questions, 192,249 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 pt.stackoverflow.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..

1.1M records53.8K nodes142K edges2025

Stack Exchange — gis.stackexchange.com Analyzed

A Stack Exchange (gis.stackexchange.com) dataset of 60,515 users, 142,989 answer-collaboration edges, 163,544 questions, 181,351 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 gis.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..

1M records60.5K nodes143K edges2025

Stack Exchange — apple.stackexchange.com Analyzed

A Stack Exchange (apple.stackexchange.com) dataset of 91,013 users, 158,605 answer-collaboration edges, 129,215 questions, 190,749 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 apple.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..

917.6K records91K nodes158.6K edges2025

Wikipedia Italian Talk Page Network Analyzed

A Wikipedia (Italian edition talk pages) dataset of 863,846 nodes and 1,661,453 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Italian talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

863.8K records863.8K nodes1.7M edges2016

Stack Exchange — ell.stackexchange.com Analyzed

A Stack Exchange (ell.stackexchange.com) dataset of 32,431 users, 109,671 answer-collaboration edges, 109,291 questions, 167,780 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 ell.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..

858.8K records32.4K nodes109.7K edges2025

Stack Exchange — softwareengineering.stackexchange.com Analyzed

A Stack Exchange (softwareengineering.stackexchange.com) dataset of 49,714 users, 157,683 answer-collaboration edges, 63,423 questions, 178,628 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 softwareengineering.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..

851.8K records49.7K nodes157.7K edges2025

Stack Exchange — scifi.stackexchange.com Analyzed

A Stack Exchange (scifi.stackexchange.com) dataset of 45,536 users, 100,186 answer-collaboration edges, 75,252 questions, 131,903 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 scifi.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..

844.8K records45.5K nodes100.2K edges2025

Stack Exchange — mathematica.stackexchange.com Analyzed

A Stack Exchange (mathematica.stackexchange.com) dataset of 22,132 users, 92,289 answer-collaboration edges, 93,674 questions, 131,321 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 mathematica.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..

836.2K records22.1K nodes92.3K edges2025

Stack Exchange — salesforce.stackexchange.com Analyzed

A Stack Exchange (salesforce.stackexchange.com) dataset of 36,329 users, 113,498 answer-collaboration edges, 133,827 questions, 155,428 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 salesforce.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..

823.2K records36.3K nodes113.5K edges2025

Stack Exchange — diy.stackexchange.com Analyzed

A Stack Exchange (diy.stackexchange.com) dataset of 54,905 users, 119,671 answer-collaboration edges, 84,628 questions, 138,269 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 diy.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..

779.1K records54.9K nodes119.7K edges2025

Stack Exchange — wordpress.stackexchange.com Analyzed

A Stack Exchange (wordpress.stackexchange.com) dataset of 52,291 users, 115,135 answer-collaboration edges, 115,885 questions, 143,805 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 wordpress.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..

758.4K records52.3K nodes115.1K edges2025

Stack Exchange — magento.stackexchange.com Analyzed

A Stack Exchange (magento.stackexchange.com) dataset of 31,898 users, 112,494 answer-collaboration edges, 113,069 questions, 144,532 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 magento.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..

743.1K records31.9K nodes112.5K edges2025

Wikisigned-k2 Signed Network Analyzed

A Wikipedia dataset of 740,397 signed interactions, collected by Network Repository. Each record contains editor-to-editor signed relationships. Signed network of Wikipedia edit interactions (co-editing vs reverts). Suitable for signed network analysis, conflict detection, collaboration studies.

740.4K records138.6K nodes740.4K edges2011

Stack Exchange — blender.stackexchange.com Analyzed

A Stack Exchange (blender.stackexchange.com) dataset of 42,242 users, 80,525 answer-collaboration edges, 114,562 questions, 105,442 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 blender.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..

717.7K records42.2K nodes80.5K edges2025

Stack Exchange — gaming.stackexchange.com Analyzed

A Stack Exchange (gaming.stackexchange.com) dataset of 64,732 users, 130,646 answer-collaboration edges, 100,896 questions, 163,928 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 gaming.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..

715.1K records64.7K nodes130.6K edges2025

Stack Exchange — dba.stackexchange.com Analyzed

A Stack Exchange (dba.stackexchange.com) dataset of 56,315 users, 109,435 answer-collaboration edges, 103,026 questions, 138,650 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 dba.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..

695.2K records56.3K nodes109.4K edges2025

Stack Exchange — codereview.stackexchange.com Analyzed

A Stack Exchange (codereview.stackexchange.com) dataset of 47,392 users, 100,897 answer-collaboration edges, 77,533 questions, 121,846 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 codereview.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..

624.9K records47.4K nodes100.9K edges2025

Stack Exchange — security.stackexchange.com Analyzed

A Stack Exchange (security.stackexchange.com) dataset of 46,578 users, 104,311 answer-collaboration edges, 68,722 questions, 118,361 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 security.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..

612.8K records46.6K nodes104.3K edges2025

Stack Exchange — codegolf.stackexchange.com Analyzed

A Stack Exchange (codegolf.stackexchange.com) dataset of 12,890 users, 110,426 answer-collaboration edges, 14,030 questions, 201,516 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 codegolf.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..

602.8K records12.9K nodes110.4K edges2025

Stack Exchange — sharepoint.stackexchange.com Analyzed

A Stack Exchange (sharepoint.stackexchange.com) dataset of 33,292 users, 96,860 answer-collaboration edges, 102,488 questions, 132,613 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 sharepoint.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..

591.2K records33.3K nodes96.9K edges2025

Stack Exchange — academia.stackexchange.com Analyzed

A Stack Exchange (academia.stackexchange.com) dataset of 29,641 users, 86,788 answer-collaboration edges, 43,792 questions, 103,840 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 academia.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..

559.3K records29.6K nodes86.8K edges2025

Stack Exchange — workplace.stackexchange.com Analyzed

A Stack Exchange (workplace.stackexchange.com) dataset of 27,480 users, 96,149 answer-collaboration edges, 32,002 questions, 110,893 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 workplace.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..

547.2K records27.5K nodes96.1K edges2025

Wikipedia Portuguese Talk Page Network Analyzed

A Wikipedia (Portuguese edition talk pages) dataset of 541,355 nodes and 1,463,308 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Portuguese talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

541.4K records541.4K nodes1.5M edges2016

Stack Exchange — drupal.stackexchange.com Analyzed

A Stack Exchange (drupal.stackexchange.com) dataset of 24,802 users, 83,917 answer-collaboration edges, 87,691 questions, 114,123 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 drupal.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..

540.3K records24.8K nodes83.9K edges2025