Wikipedia talk (ht)
This is the communication network of the Haitian Creole 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 = | 536
|
| Volume | m = | 1,530
|
| Unique edge count | m̿ = | 957
|
| Loop count | l = | 340
|
| Wedge count | s = | 44,179
|
| Claw count | z = | 2,482,717
|
| Cross count | x = | 107,625,840
|
| Triangle count | t = | 125
|
| Square count | q = | 13,587
|
| 4-Tour count | T4 = | 286,928
|
| Maximum degree | dmax = | 556
|
| Maximum outdegree | d+max = | 349
|
| Maximum indegree | d−max = | 207
|
| Average degree | d = | 5.708 96
|
| Fill | p = | 0.003 331 06
|
| Average edge multiplicity | m̃ = | 1.598 75
|
| Size of LCC | N = | 404
|
| Size of LSCC | Ns = | 26
|
| Relative size of LSCC | Nrs = | 0.048 507 5
|
| Diameter | δ = | 9
|
| 50-Percentile effective diameter | δ0.5 = | 2.999 01
|
| 90-Percentile effective diameter | δ0.9 = | 5.384 06
|
| Median distance | δM = | 3
|
| Mean distance | δm = | 3.582 82
|
| Gini coefficient | G = | 0.649 876
|
| Balanced inequality ratio | P = | 0.260 458
|
| Outdegree balanced inequality ratio | P+ = | 0.170 588
|
| Indegree balanced inequality ratio | P− = | 0.325 490
|
| Relative edge distribution entropy | Her = | 0.824 732
|
| Power law exponent | γ = | 2.819 03
|
| Tail power law exponent | γt = | 2.931 00
|
| Tail power law exponent with p | γ3 = | 2.931 00
|
| p-value | p = | 0.014 000 0
|
| Outdegree tail power law exponent with p | γ3,o = | 2.321 00
|
| Outdegree p-value | po = | 0.005 000 00
|
| Indegree tail power law exponent with p | γ3,i = | 3.441 00
|
| Indegree p-value | pi = | 0.353 000
|
| Degree assortativity | ρ = | −0.573 252
|
| Degree assortativity p-value | pρ = | 3.708 60 × 10−133
|
| In/outdegree correlation | ρ± = | +0.102 919
|
| Clustering coefficient | c = | 0.008 488 20
|
| Directed clustering coefficient | c± = | 0.024 781 2
|
| Spectral norm | α = | 209.462
|
| Operator 2-norm | ν = | 107.190
|
| Cyclic eigenvalue | π = | 101.931
|
| Algebraic connectivity | a = | 0.044 988 7
|
| Spectral separation | |λ1[A] / λ2[A]| = | 5.221 95
|
| Reciprocity | y = | 0.238 245
|
| Non-bipartivity | bA = | 0.872 451
|
| Normalized non-bipartivity | bN = | 0.044 942 6
|
| Algebraic non-bipartivity | χ = | 0.194 136
|
| Spectral bipartite frustration | bK = | 0.012 301 0
|
| Controllability | C = | 339
|
| Relative controllability | Cr = | 0.632 463
|
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.
|
KONECT ‣ Networks ‣
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