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KONECT > Networks > Twitter (MPI)

Twitter (MPI)

About this network

This asymmetric network contains Twitter follow data based on a snapshot taken in 2009. A node represents a user. A directed edge indicates that a user follows another user.

Network info

Category Social
Data source http://twitter.mpi-sws.org/
Vertex type User
Edge type Follow
FormatDirected: Edges are directed Directed
Edge weightsUnweighted: Simple edges Unweighted
Size52,579,682 vertices (users)
Volume1,963,263,821 edges (follows)
Average degree (overall)74.678 edges / vertex
Maximum degree3,691,240 edges
Wedge count177,464,933,477,000
Triangle count55,428,217,664
Clustering coefficient0.0937%
Diameter18 edges
Distance distribution of the Twitter (MPI) network
Distance distribution
Distance distribution on a logistic scale of the Twitter (MPI) network
Distance distribution on a logistic scale


TSV file:downloadtwitter_mpi.tar.bz2 (7.45 GiB)
Extraction code:downloadtwitter_mpi.tar.bz2 (14.30 KiB)
RDF:download RDFtwitter_mpi.n3.bz2 (7.25 GiB)


[1] Twitter (mpi) network dataset -- KONECT, April 2017. [ http ]
[2] Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, and Krishna P. Gummadi. Measuring user influence in Twitter: The million follower fallacy. In Proc. Int. Conf. on Weblogs and Social Media, pages 10--17, 2010.