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KONECT > Networks > Wikipedia talk, Spanish

Wikipedia talk, Spanish

About this network

This is the communication network of the Spanish Wikipedia. Nodes represent users of the Spanish 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

CodeTes
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
Size497,446 vertices (users)
Volume2,702,879 edges (messages)
Unique volume1,250,097 edges (messages)
Average degree (overall)10.867 edges / vertex
Fill5.0519 × 10–6 edges / vertex2
Maximum degree373,874 edges
Reciprocity25.0%
Size of LCC476,465 vertices
Size of LSCC42,144 vertices
Wedge count36,007,011,621
Claw count2.1340344938231650 × 1015
Triangle count2,521,702
Square count17,513,494,039
4-tour count284,138,127,786
Power law exponent (estimated) with dmin1.7810 (dmin = 22)
Gini coefficient81.9%
Relative edge distribution entropy73.3%
Assortativity–0.23499
Clustering coefficient0.0210%
Diameter10 edges
90-percentile effective diameter3.74 edges
Mean shortest path length3.22 edges
Spectral norm7538.0
Algebraic connectivity0.042304
Preferential attachment exponent0.45138 (ε = 1.9552)
Temporal distribution of the Wikipedia talk, Spanish network
Temporal distribution
Edge multiplicity distribution of the Wikipedia talk, Spanish network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Wikipedia talk, Spanish network
Cumulative edge multiplicity distribution
Degree distribution of the Wikipedia talk, Spanish network
Degree distribution
Outdegree distribution of the Wikipedia talk, Spanish network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Spanish network
Indegree distribution
Degree distribution of the Wikipedia talk, Spanish network
Degree distribution
Outdegree distribution of the Wikipedia talk, Spanish network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Spanish network
Indegree distribution
Degree distribution of the Wikipedia talk, Spanish network
Degree distribution
Outdegree distribution of the Wikipedia talk, Spanish network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Spanish network
Indegree distribution
Clustering coefficient distribution of the Wikipedia talk, Spanish network
Clustering coefficient distribution
Distance distribution of the Wikipedia talk, Spanish network
Distance distribution
Distance distribution on a logistic scale of the Wikipedia talk, Spanish network
Distance distribution on a logistic scale
Top-k eigenvalues of A of the Wikipedia talk, Spanish network
Top-k eigenvalues of A
Top-k eigenvalues of N of the Wikipedia talk, Spanish network
Top-k eigenvalues of N
Top-k eigenvalues of L of the Wikipedia talk, Spanish network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Wikipedia talk, Spanish network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Wikipedia talk, Spanish network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Wikipedia talk, Spanish network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Wikipedia talk, Spanish network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Wikipedia talk, Spanish network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Wikipedia talk, Spanish network
Cumulative spectral distribution of L

Downloads

TSV file:downloadwiki_talk_es.tar.bz2 (14.49 MiB)

References

[1] Wikipedia talk, spanish 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