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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["twitter"]

twitter — Twitter followers (2010)


A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.1

  1. Description obtained from the ICON project. 

Social Online Unweighted
  • M. De Choudhury, et al. "How does the data sampling strategy impact the discovery of information diffusion in social media?" Proc. Internat. Conf. on the Web and Social Media (ICWSM 2010)., https://doi.org/10.1145/1810617.1810674 [@sci-hub]
Upstream URL [Errno 113] No route to host
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 465,017 834,797 1.80 28.35 77.74 272.61 -0.87 0.00 8 1.00 Directed Unipartite 8.2 MiB 11.7 MiB 11.7 MiB 10.3 MiB
None drawing