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The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["twitter_sample"]

twitter_sample — Twitter sample (2014)

Description

A sample of the Twitter follower network in 2012, obtained by crawling follower links outward breadth- or depth-first from an arbitrary set of seed profiles. Nodes are twitter accounts, and edges represent the directed following relationship.1


  1. Description obtained from the ICON project. 

Tags
Social Online Unweighted
Citation
  • D. Kagan, M. Fire, and Y. Elovici, "Unsupervised Anomalous Vertices Detection Utilizing Link Prediction Algorithms", Preprint, arXiv:1610.07525 (2017), https://arxiv.org/abs/1610.07525
Upstream URL [Errno 110] Connection timed out
http://data4good.cs.washington.edu/index.html
Networks
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
twitter_sample 5,384,162 16,011,444 2.97 47.65 431.87 399.06 -0.21 0.02 9 1.00 Directed Unipartite 40.1 MiB 72.1 MiB 69.3 MiB 65.8 MiB