Social circles: Twitter

The Social circles: Twitter dataset, part of the Stanford Network Analysis Project (SNAP) , contains ego networks and node features crawled from public Twitter data: nodes represent users, and edges represent follower/following relationships, with circles (lists) manually defined by users to organize their social networks. It includes 973 ego networks, 81,306 nodes, 1,768,149 edges, an average clustering coefficient of 0.5653, and a diameter of 7.

Use the following BibTeX citation for the SNAP network datasets: @misc{snapnets, author = {Jure Leskovec and Andrej Krevl}, title = {{SNAP Datasets}: {Stanford} Large Network Dataset Collection}, howpublished = {\url{snap.stanford.edu/data}}, month = jun, year = 2014 }