23 datasets tagged as the tag “Bipartite”.
23 datasets.
A Delicious social bookmarking platform (tag-item network) dataset of 38,289,740 nodes and 137,240,382 edges, collected by KONECT via Delicious API. Each record contains directed: False, weighted: True, temporal: True. Massive temporal bipartite network of Delicious tags and bookmarked items — 301M edges across 38M tags and items with Unix timestamps.. Suitable for social tagging analysis, folksonomy research, tag-item recommendation.
A Delicious social bookmarking platform (user-item network) dataset of 34,611,302 nodes and 101,798,957 edges, collected by KONECT via Delicious API. Each record contains directed: False, weighted: True, temporal: True. Massive temporal bipartite network of Delicious users and bookmarked URLs — 301M edges across 35M users and items with Unix timestamps.. Suitable for social bookmarking analysis, recommendation systems, large-scale bipartite networks.
A DBLP Computer Science Bibliography dataset of 5,425,963 nodes and 8,649,016 edges, collected by KONECT via DBLP database. Each record contains directed: False, weighted: False. Large bipartite network linking 1.4M authors to 4M papers in DBLP — one of the largest academic bipartite networks available.. Suitable for academic collaboration analysis, authorship networks, bipartite graph research.
A Delicious social bookmarking platform (user-tag network) dataset of 5,345,180 nodes and 81,989,133 edges, collected by KONECT via Delicious API. Each record contains directed: False, weighted: True, temporal: True. Massive temporal bipartite network of Delicious users and tags they used — 301M edges across 5.3M users and tags with Unix timestamps.. Suitable for social tagging analysis, folksonomy research, large-scale bipartite networks.
A Amazon.com (product reviews and ratings) dataset of 3,376,972 nodes and 5,743,258 edges, collected by J. McAuley & J. Leskovec via Amazon product pages. Each record contains directed: False, weighted: True, temporal: True. Large bipartite user-product rating network with timestamps and 1-5 star ratings — 5.8M edges across 2.1M users and 1.2M products.. Suitable for recommender systems, rating prediction, bipartite network analysis, e-commerce research.
The bipartite picture-tagging network of the image bookmarking site vi.sualize.us, as distributed by KONECT (pics_ui): 2,298,816 tag assignments by 17,122 users to 495,402 pictures, forming 997,840 distinct user–picture pairs (512,524 nodes in all). An edge records that a user tagged a picture; the file has no ratings or timestamps. The network was analysed by Neubauer and Obermayer in their study of the vi.sualize.us folksonomy. Useful for folksonomy research, tag-based recommendation and the structure of large bipartite user–item networks.
A CiteULike academic social bookmarking platform dataset of 754,484 nodes and 842,426 edges, collected by KONECT via CiteULike API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of CiteULike users and academic papers they saved, with Unix timestamps.. Suitable for academic recommendation, social bookmarking analysis, collaborative filtering.
A Twitter (user-hashtag interactions) dataset of 705,632 nodes and 1,890,661 edges, collected by Munmun De Choudhury et al. via Twitter API. Each record contains directed: False, weighted: True, signed: False, temporal: True. Bipartite temporal network linking Twitter users to hashtags they used, with Unix timestamps. Useful for studying hashtag adoption, information diffusion, and user interest modeling.. Suitable for hashtag analysis, bipartite network analysis, information diffusion.
A Discogs music marketplace and database dataset of 270,786 nodes and 481,661 edges, collected by KONECT via Discogs database. Each record contains directed: False, weighted: True, temporal: False. Bipartite network linking Discogs users to music genres they collect — 4.1M edges across 270k users and 15 genres.. Suitable for recommender systems, music preference analysis, bipartite network analysis.
A BibSonomy academic social bookmarking platform dataset of 210,467 nodes and 453,987 edges, collected by KONECT via BibSonomy API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of BibSonomy users and publications they bookmarked, with Unix timestamps.. Suitable for social bookmarking analysis, academic recommendation, temporal bipartite networks.
A GitHub (user-repository starring/watching network) dataset of 177,386 nodes and 440,237 edges, collected by KONECT via GitHub API. Each record contains directed: False, weighted: False, temporal: False. Bipartite network of GitHub users and repositories — edges represent starring or watching relationships.. Suitable for open source collaboration analysis, bipartite network analysis, software ecosystem research.
A Last.fm music streaming and social platform dataset of 174,077 nodes and 894,472 edges, collected by KONECT via Last.fm API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of Last.fm users and bands they listened to, with Unix timestamps per play event.. Suitable for music recommendation, temporal bipartite networks, listening behavior analysis.
A DBTropes (structured TV Tropes database) dataset of 152,093 nodes and 3,232,134 edges, collected by M. Kiesel et al. via TV Tropes crawl. Each record contains directed: False, weighted: False. Bipartite network of films and narrative tropes they contain from DBTropes — useful for computational narrative analysis.. Suitable for computational narrative analysis, bipartite network analysis, film studies.
A TREC web corpus dataset of 58,434 nodes and 978,446 edges, collected by T. Gottron et al.. Each record contains directed: False, weighted: True. Bipartite network of web documents and terms from the TREC web corpus.. Suitable for document-term network analysis, information retrieval, web graph research.
A Academic co-authorship bipartite network dataset of 38,741 nodes and 58,595 edges, collected by T. Opsahl. Each record contains directed: False, weighted: False, signed: False. Large bipartite collaboration network of authors and papers — useful for studying academic collaboration patterns.. Suitable for bipartite network analysis, academic collaboration, community detection.
Bipartite user–page edit networks from Wikimedia dumps, as distributed by KONECT; each edge is one edit event with its Unix timestamp. The package holds two separate networks: the French Wikinews (edit-frwikinews: 1,408 users, 25,039 pages, 193,618 edits) and the English Wikipedia (edit-enwiki, 1.75 GB: 8,116,897 users, 42,640,545 pages, 572,591,272 edits per KONECT). The node and edge counts and the analytics on this page were computed from the French Wikinews network only. Suitable for wiki collaboration analysis, editor behavior, temporal bipartite networks.
A MOOC online learning platform dataset of 7,047 students, 97 course content items, and 411,749 student actions, collected by Kumar, Zhang & Leskovec via SNAP (2019). Each record contains action ID, student user ID, course content item ID, relative timestamp, dropout label (0/1), and 4 pre-computed action feature dimensions. Bipartite temporal network of student interactions with MOOC course content — 1.0% dropout rate across 396,633 actions. Includes pre-computed embedding features per action, enabling direct use in temporal graph learning without feature engineering.. Suitable for student dropout prediction, temporal interaction networks, dynamic graph embedding, online learning behavior analysis.
A Unicode CLDR language data dataset of 868 nodes and 1,255 edges, collected by KONECT via Unicode CLDR. Each record contains directed: False, weighted: True. Bipartite weighted network of languages and Unicode scripts, with edge weights representing similarity scores.. Suitable for linguistic network analysis, language typology, script similarity.
A American Revolution organization membership bipartite network dataset of 141 nodes and 160 edges, collected by T.W. Brunson. Each record contains directed: False, weighted: False, signed: False. Bipartite network of American revolutionaries and the organizations they belonged to.. Suitable for historical network analysis, bipartite network analysis.
A Corporate board membership bipartite network dataset of 44 nodes and 99 edges, collected by T.W. Brunson. Each record contains directed: False, weighted: False, signed: False. Bipartite network linking corporate executives to boards they sit on.. Suitable for bipartite network analysis, corporate network analysis, interlocking directorates.
A Club membership bipartite network dataset of 40 nodes and 95 edges, collected by T.W. Brunson. Each record contains directed: False, weighted: False, signed: False. Bipartite network of person-club memberships — classic affiliation network.. Suitable for bipartite network analysis, community detection, affiliation networks.
A Southern women event attendance bipartite network (1930s) dataset of 32 nodes and 89 edges, collected by T. Opsahl. Each record contains directed: False, weighted: False, signed: False. Bipartite network of women and social events — Opsahl's version of the classic Davis dataset.. Suitable for bipartite network analysis, classic network benchmark.
A Southern women event attendance bipartite network (1930s) dataset of 10 nodes and 14 edges, collected by Davis, Gardner & Gardner (1941); T.W. Brunson. Each record contains directed: False, weighted: False, signed: False. Classic Davis Southern Women dataset — bipartite network of women and social events they attended.. Suitable for bipartite network analysis, classic social network benchmark.
Delicious
Amazon
CiteULike
Twitter (X)
Discogs
BibSonomy
GitHub
Last.fm
The internet
Wikipedia