A Twitter (2010 snapshot) dataset of 41,652,230 users and 1,468,365,182 directed follower edges, collected by Kwak, Lee, Park & Moon via Twitter API (2010). Each record contains source user ID, follower user ID (edge from i to j means j follows i). Complete snapshot of the Twitter follower graph from 2010 — one of the largest social network datasets ever released publicly, capturing the full follower structure of 41.6M Twitter users with 1.47 billion directed edges.. Suitable for large-scale social network analysis, community detection, influence propagation, graph algorithm benchmarking, Twitter network evolution studies.
A Flixster (social movie network) dataset of 2,523,386 users and 7,918,801 friendship edges, collected by Javier Parra via Flixster crawl (December 2010). Each record contains user-user friendship edges and user IDs. The dataset is notable for its friendship network from Flixster, a social movie site where users shared ratings, discovered films, and found others with similar tastes. Intended for research into social network analysis, community detection, movie recommendation systems, and taste-based social network studies.
A Hyves (Dutch social network) dataset of 1,402,673 users and 2,777,419 friendship edges (avg degree 2.0), collected by Mahsa Mojtahedi via Hyves crawl (December 2010). Each record contains user-user friendship edges and user IDs. The dataset is notable for its very sparse friendship network from Hyves, the most popular social networking site in the Netherlands, competing with Facebook and MySpace. Intended for research into social network analysis, community detection, sparse network studies, and regional social media platform structure research.
A Last.fm dataset of 976741 users, 3151283 friendships, 10.9M annotations, collected by Kompan and Bielikova, first half of 2009. Each record contains user friendship graph, user-item-tag annotations, group membership, neighbourhood scores. Last.fm social network with 99k users, 10.9M music annotations, 281k tags, and 66k groups from H1 2009.. Suitable for Social influence analysis, music recommendation, tag-based community detection..
A Digg (social news) dataset of 771,231 users and 5,911,205 friendship edges, collected by Mithila Nagendra via Digg crawl (December 2010). Each record contains user-user friendship edges and user IDs. The dataset is notable for its friendship network from the pre-v4 Digg social news platform, where users voted stories up (digging) or down (burying). Intended for research into social network analysis, community detection, information diffusion, and social news platform structure studies.
A Foursquare (location-based social network) dataset of 639,014 users and 3,214,986 friendship edges, collected by Fred Morstatter via Foursquare crawl (December 2010). Each record contains user-user friendship edges and user IDs. The dataset is notable for its friendship network from Foursquare, a pioneering location-based social network where users checked in at venues and shared locations with friends. Intended for research into social network analysis, community detection, location-based social network studies, and geographic mobility research.
A Delicious (social bookmarking) dataset of 536,408 users and 1,366,663 friendship edges, collected by Aneeth Anand via Delicious crawl (December 2010). Each record contains user-user friendship edges and user IDs. The dataset is notable for its friendship network from the Delicious social bookmarking service, where users stored, shared, and discovered web bookmarks. Intended for research into social network analysis, community detection, information sharing behavior, and social bookmarking platform structure studies.
A Douban (Chinese social network) dataset of 154,908 users and 327,162 friendship edges, collected by Long Qiu via Douban crawl (December 2010). Each record contains user-user friendship edges and user IDs. The dataset is notable for its friendship network from Douban, China's largest online community for book, movie, and music reviews and recommendations. Intended for research into social network analysis, community detection, Chinese social media research, and content-sharing platform structure studies.
A Slashdot.org (technology news and discussion) dataset of 82,144 users and 1,601,229 directed signed edges (1,234,967 friend, 366,262 foe) merged from 3 snapshots, collected by Leskovec et al. via Slashdot crawls over November 2008 to February 2009, distributed by SNAP. Each record contains directed signed edges between users: +1 indicates an explicit friend tag, -1 indicates an explicit foe tag; three temporal snapshots merged into one cumulative graph. one of the canonical signed social network benchmarks, notable for its explicit friend/foe labeling system and use as a primary dataset in foundational signed network research including balance theory and status theory studies. Suitable for signed network analysis, link sign prediction, structural balance theory, status theory validation, community detection in signed graphs, and trust/distrust propagation modeling.