Wikipedia elections
This is the network of users from the English Wikipedia that voted for and
against each other in admin elections. Nodes represent individual users, and
edges represent votes. Edges can be positive ("for" vote) and negative
("against" vote). Each edge is annotated with the date of the vote. In the
original dataset from the SNAP website, certain timestamps are from after 2050;
the corresponding edges are not included in this version of the network.
Metadata
Statistics
| Size | n = | 7,118
|
| Volume | m = | 103,675
|
| Loop count | l = | 58
|
| Wedge count | s = | 14,524,030
|
| Claw count | z = | 1,728,582,938
|
| Cross count | x = | 236,350,375,650
|
| Triangle count | t = | 607,279
|
| Square count | q = | 57,518,620
|
| 4-Tour count | T4 = | 518,446,466
|
| Maximum degree | dmax = | 1,167
|
| Maximum outdegree | d+max = | 893
|
| Maximum indegree | d−max = | 457
|
| Average degree | d = | 29.130 4
|
| Fill | p = | 0.002 046 25
|
| Size of LCC | N = | 7,066
|
| Size of LSCC | Ns = | 1,300
|
| Relative size of LSCC | Nrs = | 0.182 636
|
| Diameter | δ = | 7
|
| 50-Percentile effective diameter | δ0.5 = | 2.731 44
|
| 90-Percentile effective diameter | δ0.9 = | 3.785 37
|
| Median distance | δM = | 3
|
| Mean distance | δm = | 3.249 47
|
| Gini coefficient | G = | 0.751 952
|
| Balanced inequality ratio | P = | 0.202 093
|
| Outdegree balanced inequality ratio | P+ = | 0.175 404
|
| Indegree balanced inequality ratio | P− = | 0.333 340
|
| Relative edge distribution entropy | Her = | 0.872 272
|
| Power law exponent | γ = | 1.536 52
|
| Tail power law exponent | γt = | 2.551 00
|
| Tail power law exponent with p | γ3 = | 2.551 00
|
| p-value | p = | 0.000 00
|
| Outdegree tail power law exponent with p | γ3,o = | 1.531 00
|
| Outdegree p-value | po = | 0.000 00
|
| Indegree tail power law exponent with p | γ3,i = | 3.391 00
|
| Indegree p-value | pi = | 0.003 000 00
|
| Degree assortativity | ρ = | −0.083 038 6
|
| Degree assortativity p-value | pρ = | 5.616 46 × 10−305
|
| In/outdegree correlation | ρ± = | +0.191 927
|
| Clustering coefficient | c = | 0.125 436
|
| Directed clustering coefficient | c± = | 0.164 481
|
| Spectral norm | α = | 117.248
|
| Operator 2-norm | ν = | 83.495 7
|
| Cyclic eigenvalue | π = | 33.547 7
|
| Algebraic connectivity | a = | 0.337 679
|
| Spectral separation | |λ1[A] / λ2[A]| = | 1.458 05
|
| Reciprocity | y = | 0.056 966 5
|
| Non-bipartivity | bA = | 0.593 127
|
| Normalized non-bipartivity | bN = | 0.100 581
|
| Algebraic non-bipartivity | χ = | 0.164 958
|
| Spectral bipartite frustration | bK = | 0.001 446 56
|
| Negativity | ζ = | 0.215 645
|
| Algebraic conflict | ξ = | 0.164 948
|
| Triadic conflict | τ = | 0.228 161
|
| Spectral signed frustration | φ = | 0.001 452 13
|
| Controllability | C = | 4,737
|
| Relative controllability | Cr = | 0.665 496
|
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]
|
Jure Leskovec, Daniel Huttenlocher, and Jon Kleinberg.
Governance in social media: A case study of the Wikipedia promotion
process.
In Proc. Int. Conf. on Weblogs and Soc. Media, 2010.
|
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