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KONECT > Networks > Wikipedia talk, Russian

Wikipedia talk, Russian

About this network

This is the communication network of the Russian Wikipedia. Nodes represent users of the Russian Wikipedia, and an edge from user A to user B denotes that user A wrote a message on the talk page of user B at a certain timestamp.

Network info

CodeTru
Category Communication
Data source https://zenodo.org/record/49561
Vertex type User
Edge type Message
FormatDirected: Edges are directed Directed
Edge weightsMultiple unweighted: Multiple edges are possible Multiple unweighted
Metadata Loops:  An edge may connect a node with itself LoopTimestamps:  Edges are annotated with a timestamps Timestamps
Size457,017 vertices (users)
Volume2,282,055 edges (messages)
Unique volume919,790 edges (messages)
Average degree (overall)9.9867 edges / vertex
Fill4.4038 × 10–6 edges / vertex2
Maximum degree188,103 edges
Reciprocity11.7%
Size of LCC449,042 vertices
Size of LSCC22,664 vertices
Wedge count25,135,039,055
Claw count8.9322969493274200 × 1014
Triangle count1,825,612
Square count4,632,803,687
4-tour count137,604,283,760
Power law exponent (estimated) with dmin1.8510 (dmin = 11)
Gini coefficient86.6%
Relative edge distribution entropy70.4%
Assortativity–0.38445
Clustering coefficient0.0218%
Diameter8 edges
90-percentile effective diameter3.81 edges
Mean shortest path length3.29 edges
Spectral norm16905.
Algebraic connectivity0.087734
Preferential attachment exponent0.57755 (ε = 1.8074)
Temporal distribution of the Wikipedia talk, Russian network
Temporal distribution
Edge multiplicity distribution of the Wikipedia talk, Russian network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Wikipedia talk, Russian network
Cumulative edge multiplicity distribution
Degree distribution of the Wikipedia talk, Russian network
Degree distribution
Outdegree distribution of the Wikipedia talk, Russian network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Russian network
Indegree distribution
Degree distribution of the Wikipedia talk, Russian network
Degree distribution
Outdegree distribution of the Wikipedia talk, Russian network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Russian network
Indegree distribution
Degree distribution of the Wikipedia talk, Russian network
Degree distribution
Outdegree distribution of the Wikipedia talk, Russian network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Russian network
Indegree distribution
Clustering coefficient distribution of the Wikipedia talk, Russian network
Clustering coefficient distribution
Distance distribution of the Wikipedia talk, Russian network
Distance distribution
Distance distribution on a logistic scale of the Wikipedia talk, Russian network
Distance distribution on a logistic scale
Top-k eigenvalues of L of the Wikipedia talk, Russian network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Wikipedia talk, Russian network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Wikipedia talk, Russian network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Wikipedia talk, Russian network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Wikipedia talk, Russian network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Wikipedia talk, Russian network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Wikipedia talk, Russian network
Cumulative spectral distribution of L

Downloads

TSV file:downloadwiki_talk_ru.tar.bz2 (12.20 MiB)

References

[1] Wikipedia talk, russian network dataset -- KONECT, October 2016. [ http ]
[2] Jun Sun, Jérôme Kunegis, and Steffen Staab. Predicting user roles in social networks using transfer learning with feature transformation. In Proc. ICDM Workshop on Data Mining in Networks, 2016.

BibTeX