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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["academia_edu"]

academia_edu — Academica.edu (2011)


Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.1

  1. Description obtained from the ICON project. 

Social Online Unweighted
Upstream URL OK
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
academia_edu 200,169 1,398,063 6.98 46.24 109.99 78.34 -0.02 0.04 16 1.00 Directed Unipartite name 6.7 MiB 10.5 MiB 10.2 MiB 8.7 MiB
None drawing