Wikipedia talk (vi)
This is the communication network of the Vietnamese 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
Statistics
Size  n =  338,714

Volume  m =  607,087

Unique edge count  m̿ =  426,086

Loop count  l =  43,802

Wedge count  s =  6,861,145,804

Claw count  z =  124,841,223,053,737

Cross count  x =  2,025,346,130,080,254,208

Triangle count  t =  138,848

Square count  q =  279,874,289

4Tour count  T_{4} =  29,684,403,888

Maximum degree  d_{max} =  78,340

Maximum outdegree  d^{+}_{max} =  78,334

Maximum indegree  d^{−}_{max} =  8,085

Average degree  d =  3.584 66

Fill  p =  3.713 91 × 10^{−6}

Average edge multiplicity  m̃ =  1.424 80

Size of LCC  N =  337,273

Size of LSCC  N_{s} =  2,785

Relative size of LSCC  N^{r}_{s} =  0.008 222 28

Diameter  δ =  8

50Percentile effective diameter  δ_{0.5} =  3.392 56

90Percentile effective diameter  δ_{0.9} =  4.104 07

Median distance  δ_{M} =  4

Mean distance  δ_{m} =  3.731 68

Gini coefficient  G =  0.712 416

Balanced inequality ratio  P =  0.217 593

Outdegree balanced inequality ratio  P_{+} =  0.042 310 2

Indegree balanced inequality ratio  P_{−} =  0.356 992

Relative edge distribution entropy  H_{er} =  0.677 591

Power law exponent  γ =  9.350 86

Tail power law exponent  γ_{t} =  3.321 00

Degree assortativity  ρ =  −0.437 310

Degree assortativity pvalue  p_{ρ} =  0.000 00

In/outdegree correlation  ρ^{±} =  +0.592 984

Clustering coefficient  c =  6.071 06 × 10^{−5}

Directed clustering coefficient  c^{±} =  0.030 005 7

Spectral norm  α =  7,377.97

Operator 2norm  ν =  3,917.74

Cyclic eigenvalue  π =  3,552.12

Algebraic connectivity  a =  0.022 289 2

Spectral separation  λ_{1}[A] / λ_{2}[A] =  2.170 98

Reciprocity  y =  0.046 903 7

Nonbipartivity  b_{A} =  0.551 289

Normalized nonbipartivity  b_{N} =  0.006 308 98

Algebraic nonbipartivity  χ =  0.014 534 6

Spectral bipartite frustration  b_{K} =  0.001 467 47

Controllability  C =  332,293

Relative controllability  C_{r} =  0.981 043

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]

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.
