Teams
The is the bipartite network of athletes and their teams, extracted from
DBpedia. The nodes in the network are individual athletes and individual teams.
An edge in the network connects an athlete with a team the athlete has played
in. The dataset was extracted from DBpedia and corresponds to the
<http://dbpedia.org/ontology/team> relationship type.
Metadata
Statistics
Size  n =  935,627

Left size  n_{1} =  901,166

Right size  n_{2} =  34,461

Volume  m =  1,366,466

Wedge count  s =  336,279,376

Claw count  z =  117,855,347,259

Cross count  x =  42,549,380,095,569

Square count  q =  10,778,376

4Tour count  T_{4} =  1,434,091,924

Maximum degree  d_{max} =  2,671

Maximum left degree  d_{1max} =  17

Maximum right degree  d_{2max} =  2,671

Average degree  d =  2.920 96

Average left degree  d_{1} =  1.516 33

Average right degree  d_{2} =  39.652 5

Fill  p =  4.400 14 × 10^{−5}

Size of LCC  N =  876,025

Diameter  δ =  41

50Percentile effective diameter  δ_{0.5} =  5.632 65

90Percentile effective diameter  δ_{0.9} =  7.691 47

Median distance  δ_{M} =  6

Mean distance  δ_{m} =  6.370 73

Gini coefficient  G =  0.645 816

Balanced inequality ratio  P =  0.247 298

Left balanced inequality ratio  P_{1} =  0.395 676

Right balanced inequality ratio  P_{2} =  0.149 957

Relative edge distribution entropy  H_{er} =  0.853 592

Power law exponent  γ =  5.098 25

Tail power law exponent  γ_{t} =  1.771 00

Degree assortativity  ρ =  +0.050 656 0

Degree assortativity pvalue  p_{ρ} =  0.000 00

Spectral norm  α =  71.312 4

Algebraic connectivity  a =  0.000 368 766

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.267 49

Controllability  C =  91,903

Relative controllability  C_{r} =  0.662 832

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]

Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak,
and Zachary Ives.
DBpedia: A nucleus for a web of open data.
In Proc. Int. Semant. Web Conf., pages 722–735, 2008.
