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academia_edu — Academia.edu (2011)

Description

A snapshot of the follower network among users of Academia.edu, a platform where academics share their papers and follow the research of other academics. Nodes are users, and a directed edge $i \to j$ means that user $i$ follows user $j$. The data were collected (around 2011) and anonymized by M. Fire and collaborators at Ben-Gurion University of the Negev, and used as one of the social networks in their study of link prediction.

The network has the following properties:

  • (Node) name: the anonymized user identifier.
Tags
Social Online Unweighted
Added
2020-08-11
Citation
  • M. Fire et al. "Computationally Efficient Link Prediction in a Variety of Social Networks." ACM Transactions on Intelligent Systems and Technology 5(1), Article 10 (2013) 10.1145/2542182.2542192 Sci-Hub
Upstream URL ☠
The upstream source has since vanished. The files can be temporarily accessed here.
Networks
Tip: hover over a column header for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
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 6.5 MiB 10.0 MiB 9.9 MiB 8.7 MiB
Ridiculograms*
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.