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KONECT > Networks > Wikipedia talk, Arabic

Wikipedia talk, Arabic

About this network

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

CodeTar
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
Size1,095,799 vertices (users)
Volume1,913,103 edges (messages)
Unique volume1,564,598 edges (messages)
Average degree (overall)3.4917 edges / vertex
Fill1.303 × 10–6 edges / vertex2
Maximum degree915,536 edges
Reciprocity2.92%
Size of LCC1,095,524 vertices
Size of LSCC8,797 vertices
Wedge count440,266,628,953
Claw count1.2863343173533914 × 1017
Triangle count485,421
Square count8,084,744,426
4-tour count1,825,747,539,904
Power law exponent (estimated) with dmin1.7310 (dmin = 33)
Gini coefficient68.9%
Relative edge distribution entropy61.5%
Assortativity–0.48671
Clustering coefficient0.000331%
Diameter6 edges
90-percentile effective diameter3.47 edges
Mean shortest path length2.46 edges
Spectral norm7061.9
Algebraic connectivity0.014484
Preferential attachment exponent0.18303 (ε = 1.8686)
Temporal distribution of the Wikipedia talk, Arabic network
Temporal distribution
Edge multiplicity distribution of the Wikipedia talk, Arabic network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Wikipedia talk, Arabic network
Cumulative edge multiplicity distribution
Degree distribution of the Wikipedia talk, Arabic network
Degree distribution
Outdegree distribution of the Wikipedia talk, Arabic network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Arabic network
Indegree distribution
Degree distribution of the Wikipedia talk, Arabic network
Degree distribution
Outdegree distribution of the Wikipedia talk, Arabic network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Arabic network
Indegree distribution
Degree distribution of the Wikipedia talk, Arabic network
Degree distribution
Outdegree distribution of the Wikipedia talk, Arabic network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Arabic network
Indegree distribution
Clustering coefficient distribution of the Wikipedia talk, Arabic network
Clustering coefficient distribution
Distance distribution of the Wikipedia talk, Arabic network
Distance distribution
Distance distribution on a logistic scale of the Wikipedia talk, Arabic network
Distance distribution on a logistic scale
Top-k eigenvalues of A of the Wikipedia talk, Arabic network
Top-k eigenvalues of A
Top-k eigenvalues of N of the Wikipedia talk, Arabic network
Top-k eigenvalues of N
Top-k eigenvalues of L of the Wikipedia talk, Arabic network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Wikipedia talk, Arabic network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Wikipedia talk, Arabic network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Wikipedia talk, Arabic network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Wikipedia talk, Arabic network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Wikipedia talk, Arabic network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Wikipedia talk, Arabic network
Cumulative spectral distribution of L
Complex eigenvalues of the asymmetric adjacency matrix of the Wikipedia talk, Arabic network
Complex eigenvalues of the asymmetric adjacency matrix

Downloads

TSV file:downloadwiki_talk_ar.tar.bz2 (10.25 MiB)

References

[1] Wikipedia talk, arabic 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