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twitter_2009 — Twitter graph (2009)

Description

Directed network of follow relationships among Twitter users, based on a crawl of the whole Twitter network performed by M. Cha, H. Haddadi, F. Benevenuto and K. P. Gummadi (Max Planck Institute for Software Systems), which aimed at collecting all users and links of Twitter at the time; the distributed data correspond to the snapshot of September 2009. Nodes are users, with anonymized identifiers, and an edge $i \to j$ indicates that user $i$ follows user $j$. The network has about 52.6 million nodes (the users that have at least one link) and 1,963,263,821 edges.

The network has the following properties:

  • name: the anonymized user identifier.
Tags
Social Online Unweighted
Citation
  • M. Cha, H. Haddadi, F. Benevenuto, and K. P. Gummadi, "Measuring User Influence in Twitter: The Million Follower Fallacy" Proc. Internat. AAAI Conf. on Weblogs and Social Media (ICWSM), 10-17 (2010). 10.1609/icwsm.v4i1.14033 Sci-Hub
Upstream URL OK
http://twitter.mpi-sws.org/
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
twitter_2009 52,579,682 1,963,263,821 37.34 2698.38 7004.31 4799.30 -0.07 0.00 18 1.00 Directed Unipartite name 5.041 GiB 9.348 GiB 9.219 GiB 7.887 GiB