Wikinews edits (es)

This is the bipartite edit network of the Spanish Wikinews. It contains users and pages from the Spanish Wikinews, connected by edit events. Each edge represents an edit. The dataset includes the timestamp of each edit.

Metadata

Codenes
Internal nameedit-eswikinews
NameWikinews edits (es)
Data sourcehttp://dumps.wikimedia.org/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Authorship network
Dataset timestamp 2017-10-20
Node meaningUser, article
Edge meaningEdit
Network formatBipartite, undirected
Edge typeUnweighted, multiple edges
Temporal data Edges are annotated with timestamps

Statistics

Size n =42,623
Left size n1 =2,330
Right size n2 =40,293
Volume m =513,672
Unique edge count m̿ =102,648
Wedge count s =263,390,358
Claw count z =1,078,135,408,730
Square count q =54,859,569
4-Tour count T4 =1,492,663,176
Maximum degree dmax =251,571
Maximum left degree d1max =205,628
Maximum right degree d2max =251,571
Average degree d =24.103 0
Average left degree d1 =220.460
Average right degree d2 =12.748 4
Fill p =0.001 093 36
Average edge multiplicity m̃ =5.004 21
Size of LCC N =40,964
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.318 94
90-Percentile effective diameter δ0.9 =3.975 54
Median distance δM =4
Mean distance δm =3.570 23
Gini coefficient G =0.901 891
Balanced inequality ratio P =0.122 569
Left balanced inequality ratio P1 =0.032 801 1
Right balanced inequality ratio P2 =0.182 175
Relative edge distribution entropy Her =0.740 976
Power law exponent γ =2.433 51
Tail power law exponent γt =1.641 00
Degree assortativity ρ =−0.088 845 9
Degree assortativity p-value pρ =0.000 00
Spectral norm α =201,909
Algebraic connectivity a =0.017 971 2

Plots

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop distribution

Diameter/density evolution

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] Wikimedia Foundation. Wikimedia downloads. http://dumps.wikimedia.org/, January 2010.