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KONECT > Networks > Wikipedia talk, Dutch

Wikipedia talk, Dutch

About this network

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

CodeTnl
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
Size225,749 vertices (users)
Volume1,554,699 edges (messages)
Unique volume565,477 edges (messages)
Average degree (overall)13.774 edges / vertex
Fill1.1096 10–5 edges / vertex2
Maximum degree113,872 edges
Reciprocity16.1%
Size of LCC224,185 vertices
Size of LSCC18,598 vertices
Wedge count6,058,956,301
Claw count1.0891537697120200 1014
Triangle count1,873,710
Square count1,925,439,105
4-tour count39,640,359,028
Power law exponent (estimated) with dmin2.9610 (dmin = 2)
Gini coefficient87.7%
Relative edge distribution entropy72.2%
Assortativity–0.28417
Clustering coefficient0.0928%
Diameter7 edges
90-percentile effective diameter3.64 edges
Mean shortest path length3.12 edges
Spectral norm38435.
Algebraic connectivity0.046494
Preferential attachment exponent0.53021 (ε = 1.9770)
Temporal distribution of the Wikipedia talk, Dutch network
Temporal distribution
Edge multiplicity distribution of the Wikipedia talk, Dutch network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Wikipedia talk, Dutch network
Cumulative edge multiplicity distribution
Degree distribution of the Wikipedia talk, Dutch network
Degree distribution
Outdegree distribution of the Wikipedia talk, Dutch network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Dutch network
Indegree distribution
Degree distribution of the Wikipedia talk, Dutch network
Degree distribution
Outdegree distribution of the Wikipedia talk, Dutch network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Dutch network
Indegree distribution
Degree distribution of the Wikipedia talk, Dutch network
Degree distribution
Outdegree distribution of the Wikipedia talk, Dutch network
Outdegree distribution
Indegree distribution of the Wikipedia talk, Dutch network
Indegree distribution
Clustering coefficient distribution of the Wikipedia talk, Dutch network
Clustering coefficient distribution
Distance distribution of the Wikipedia talk, Dutch network
Distance distribution
Distance distribution on a logistic scale of the Wikipedia talk, Dutch network
Distance distribution on a logistic scale
Top-k eigenvalues of A of the Wikipedia talk, Dutch network
Top-k eigenvalues of A
Top-k eigenvalues of N of the Wikipedia talk, Dutch network
Top-k eigenvalues of N
Top-k eigenvalues of L of the Wikipedia talk, Dutch network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Wikipedia talk, Dutch network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Wikipedia talk, Dutch network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Wikipedia talk, Dutch network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Wikipedia talk, Dutch network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Wikipedia talk, Dutch network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Wikipedia talk, Dutch network
Cumulative spectral distribution of L
Complex eigenvalues of the asymmetric adjacency matrix of the Wikipedia talk, Dutch network
Complex eigenvalues of the asymmetric adjacency matrix

Downloads

TSV file:downloadwiki_talk_nl.tar.bz2 (8.34 MiB)

References

[1] Wikipedia talk, dutch network dataset -- KONECT, April 2017. [ 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.

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