Wikipedia talk (sk)

This is the communication network of the Slovak 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

CodeTsk
Internal namewiki_talk_sk
NameWikipedia talk (sk)
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 =41,452
Volume m =131,884
Unique edge count m̿ =71,933
Wedge count s =299,445,255
Triangle count t =38,859
Maximum degree dmax =19,084
Maximum outdegree d+max =19,084
Maximum indegree dmax =4,191
Average degree d =6.363 22
Size of LCC N =41,076
Diameter δ =8
50-Percentile effective diameter δ0.5 =3.061 71
90-Percentile effective diameter δ0.9 =3.814 29
Median distance δM =4
Mean distance δm =3.287 62
Degree assortativity ρ =−0.449 397
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.558 059
Clustering coefficient c =0.000 389 310
Operator 2-norm ν =1,825.23
Cyclic eigenvalue π =1,803.43
Reciprocity y =0.086 816 9

Plots

Degree distribution

Cumulative degree distribution

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.