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KONECT > Networks > Google+

Google+

About this network

This directed network contains Google+ user–user links. A node represents a user, and a directed edge denotes that one user has the other user in his circles.

Network info

CodeGP
Category Social
Data source http://snap.stanford.edu/data/egonets-Gplus.html
Vertex type User
Edge type Friendship
FormatDirected: Edges are directed Directed
Edge weightsUnweighted: Simple edges Unweighted
Size23,628 vertices (users)
Volume39,242 edges (friendships)
Average degree (overall)3.3217 edges / vertex
Fill7.0294 × 10–5 edges / vertex2
Maximum degree2,771 edges
Reciprocity0.245%
Size of LCC23,613 vertices
Size of LSCC50 vertices
Wedge count14,738,751
Claw count6,512,607,606
Triangle count18,221
Square count2,358,832
4-tour count77,904,048
Power law exponent (estimated) with dmin2.6210 (dmin = 2)
Gini coefficient66.0%
Relative edge distribution entropy76.7%
Assortativity–0.38852
Clustering coefficient0.371%
Diameter8 edges
90-percentile effective diameter4.58 edges
Mean shortest path length3.95 edges
Spectral norm63.595
Algebraic connectivity0.011437
Degree distribution of the Google+ network
Degree distribution
Outdegree distribution of the Google+ network
Outdegree distribution
Indegree distribution of the Google+ network
Indegree distribution
Degree distribution of the Google+ network
Degree distribution
Outdegree distribution of the Google+ network
Outdegree distribution
Indegree distribution of the Google+ network
Indegree distribution

Out/indegree comparison

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

Downloads

TSV file:downloadego-gplus.tar.bz2 (98.44 KiB)
Extraction code:downloadsnap.tar.bz2 (20.04 KiB)
RDF:download RDFego-gplus.n3.bz2 (122.02 KiB)

References

[1] Google+ 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