Wikipedia talk (ca)

This is the communication network of the Catalan Wikipedia. Nodes represent users, 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.

Metadata

CodeTca
Internal namewiki_talk_ca
NameWikipedia talk (ca)
Data sourcehttps://zenodo.org/record/49561
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Communication network
Dataset timestamp 2017-10-27
Node meaningUser
Edge meaningMessage
Network formatUnipartite, directed
Edge typeUnweighted, multiple edges
Temporal data Edges are annotated with timestamps
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsContains loops

Statistics

Size n =79,736
Volume m =351,610
Unique edge count m̿ =196,370
Wedge count s =1,950,651,151
Triangle count t =232,970
Maximum degree dmax =54,776
Maximum outdegree d+max =54,770
Maximum indegree dmax =11,424
Average degree d =8.819 35
Size of LCC N =79,209
Diameter δ =6
50-Percentile effective diameter δ0.5 =2.068 45
90-Percentile effective diameter δ0.9 =2.896 98
Median distance δM =3
Mean distance δm =2.583 28
Degree assortativity ρ =−0.334 579
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.672 676
Clustering coefficient c =0.000 358 296
Operator 2-norm ν =2,865.14
Cyclic eigenvalue π =2,544.51
Reciprocity y =0.130 402

Plots

Degree distribution

Cumulative degree distribution

Delaunay graph drawing

Temporal distribution

Matrix decompositions plots

Downloads

References

[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ 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 Min. in Netw., 2016.