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KONECT > Networks > Twitter lists

Twitter lists

About this network

This directed networks contains Twitter user–user following information. A node represents a user. An edge indicates that the user represented by the left node follows the user represented by the right node.

Network info

CodeTL
Category Social
Data source http://snap.stanford.edu/data/egonets-Twitter.html
Vertex type User
Edge type Follow
FormatDirected: Edges are directed Directed
Edge weightsUnweighted: Simple edges Unweighted
Size23,370 vertices (users)
Volume33,101 edges (follows)
Average degree (overall)2.8328 edges / vertex
Fill6.061 × 10–5 edges / vertex2
Maximum degree239 edges
Reciprocity1.63%
Size of LCC22,322 vertices
Size of LSCC38 vertices
Wedge count1,231,177
Claw count43,439,459
Triangle count8,804
Square count165,762
4-tour count6,316,466
Power law exponent (estimated) with dmin2.4710 (dmin = 1)
Gini coefficient61.3%
Relative edge distribution entropy86.8%
Assortativity–0.47798
Clustering coefficient2.15%
Diameter15 edges
90-percentile effective diameter7.56 edges
Mean shortest path length6.19 edges
Spectral norm25.210
Algebraic connectivity0.0050316
Degree distribution of the Twitter lists network
Degree distribution
Outdegree distribution of the Twitter lists network
Outdegree distribution
Indegree distribution of the Twitter lists network
Indegree distribution
Degree distribution of the Twitter lists network
Degree distribution
Outdegree distribution of the Twitter lists network
Outdegree distribution
Indegree distribution of the Twitter lists network
Indegree distribution

Out/indegree comparison

Out/indegree comparison of the Twitter lists network
Out/indegree comparison
Degree distribution of the Twitter lists network
Degree distribution
Outdegree distribution of the Twitter lists network
Outdegree distribution
Indegree distribution of the Twitter lists network
Indegree distribution
Degree distribution of the Twitter lists network
Degree distribution
Outdegree distribution of the Twitter lists network
Outdegree distribution
Indegree distribution of the Twitter lists network
Indegree distribution
Clustering coefficient distribution of the Twitter lists network
Clustering coefficient distribution
Distance distribution of the Twitter lists network
Distance distribution
Distance distribution on a logistic scale of the Twitter lists network
Distance distribution on a logistic scale
Top-k eigenvalues of A of the Twitter lists network
Top-k eigenvalues of A
Top-k eigenvalues of N of the Twitter lists network
Top-k eigenvalues of N
Top-k eigenvalues of L of the Twitter lists network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Twitter lists network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Twitter lists network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Twitter lists network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Twitter lists network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Twitter lists network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Twitter lists network
Cumulative spectral distribution of L
Complex eigenvalues of the asymmetric adjacency matrix of the Twitter lists network
Complex eigenvalues of the asymmetric adjacency matrix

Layout

Layout of the Twitter lists network
Layout

Downloads

TSV file:downloadego-twitter.tar.bz2 (91.84 KiB)
Extraction code:downloadsnap.tar.bz2 (20.04 KiB)
RDF:download RDFego-twitter.n3.bz2 (121.43 KiB)

References

[1] Twitter lists network dataset -- KONECT, October 2016. [ http ]
[2] Julian McAuley and Jure Leskovec. Learning to discover social circles in ego networks. In Advances in Neural Information Processing Systems, pages 548--556. 2012.

BibTeX