Wikipedia dynamic (fr)
This network shows the evolution of hyperlinks between articles of the French
Wikipedia. The nodes represent articles. An edge indicates that a hyperlink was
added or removed depending on the edge weight (−1 for removal or +1 for
addition).
Metadata
Statistics
Size | n = | 2,212,682
|
Volume | m = | 59,008,831
|
Unique edge count | m̿ = | 24,440,537
|
Loop count | l = | 3,077
|
Wedge count | s = | 84,717,021,383
|
Claw count | z = | 673,558,281,471,946
|
Cross count | x = | 1.276 03 × 1019
|
Triangle count | t = | 139,637,311
|
Maximum degree | dmax = | 321,458
|
Maximum outdegree | d+max = | 126,733
|
Maximum indegree | d−max = | 240,733
|
Average degree | d = | 53.336 9
|
Fill | p = | 5.025 16 × 10−6
|
Average edge multiplicity | m̃ = | 2.414 38
|
Size of LCC | N = | 2,208,840
|
Size of LSCC | Ns = | 1,323,072
|
Relative size of LSCC | Nrs = | 0.597 949
|
Diameter | δ = | 12
|
50-Percentile effective diameter | δ0.5 = | 3.335 31
|
90-Percentile effective diameter | δ0.9 = | 4.454 42
|
Median distance | δM = | 4
|
Mean distance | δm = | 3.830 41
|
Gini coefficient | G = | 0.774 229
|
Balanced inequality ratio | P = | 0.197 331
|
Outdegree balanced inequality ratio | P+ = | 0.211 843
|
Indegree balanced inequality ratio | P− = | 0.194 163
|
Relative edge distribution entropy | Her = | 0.883 483
|
Power law exponent | γ = | 1.614 91
|
Tail power law exponent | γt = | 2.391 00
|
Degree assortativity | ρ = | −0.045 824 8
|
Degree assortativity p-value | pρ = | 0.000 00
|
Clustering coefficient | c = | 0.004 944 84
|
Directed clustering coefficient | c± = | 0.029 457 0
|
Spectral norm | α = | 677.907
|
Operator 2-norm | ν = | 566.281
|
Cyclic eigenvalue | π = | 163.465
|
Reciprocity | y = | 0.155 224
|
Non-bipartivity | bA = | 0.219 874
|
Normalized non-bipartivity | bN = | 0.019 718 6
|
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]
|
Julia Preusse, Jérôme Kunegis, Matthias Thimm, Thomas Gottron, and Steffen
Staab.
Structural dynamics of knowledge networks.
In Proc. Int. Conf. on Weblogs and Soc. Media, 2013.
|