Wikipedia conflict
The edges in this network represent positive and negative conflicts between
users of the English Wikipedia, for example users involved in an editwar. A
node represents a user and an edge represents a conflict between two users,
with the edge sign representing positive and negative interactions. An example
for a negative interaction would be when one user revert the edit of another
user.
Metadata
Statistics
Size  n =  118,100

Volume  m =  2,917,785

Unique edge count  m̿ =  2,014,074

Loop count  l =  0

Wedge count  s =  1,394,925,925

Claw count  z =  3,157,737,873,756

Cross count  x =  11,046,674,211,216,606

Triangle count  t =  13,852,230

Square count  q =  7,362,075,281

4Tour count  T_{4} =  64,440,643,864

Maximum degree  d_{max} =  136,192

Average degree  d =  49.412 1

Fill  p =  0.000 300 239

Average edge multiplicity  m̃ =  1.448 70

Size of LCC  N =  113,123

Diameter  δ =  10

50Percentile effective diameter  δ_{0.5} =  2.772 34

90Percentile effective diameter  δ_{0.9} =  3.892 43

Median distance  δ_{M} =  3

Mean distance  δ_{m} =  3.363 59

Gini coefficient  G =  0.809 687

Balanced inequality ratio  P =  0.167 106

Relative edge distribution entropy  H_{er} =  0.864 541

Power law exponent  γ =  1.534 63

Tail power law exponent  γ_{t} =  1.501 00

Degree assortativity  ρ =  −0.065 012 2

Degree assortativity pvalue  p_{ρ} =  0.000 00

Clustering coefficient  c =  0.029 791 3

Spectral norm  α =  4,810.78

Algebraic connectivity  a =  0.018 347 8

Spectral separation  λ_{1}[A] / λ_{2}[A] =  2.185 17

Nonbipartivity  b_{A} =  0.260 217

Normalized nonbipartivity  b_{N} =  0.074 872 1

Algebraic nonbipartivity  χ =  0.120 114

Spectral bipartite frustration  b_{K} =  0.000 836 416

Negativity  ζ =  0.621 160

Triadic conflict  τ =  0.376 808

Controllability  C =  38,488

Relative controllability  C_{r} =  0.325 893

Plots
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]

Ulrik Brandes, Patrick Kenis, Jürgen Lerner, and Denise van Raaij.
Network analysis of collaboration structure in Wikipedia.
In Proc. Int. World Wide Web Conf., pages 731–740, 2009.
