Occupations

This is the bipartite occupation network of DBpedia. It contains persons and occupations as nodes, and an edge denotes that a person has an occupation. The edges correspond to the <http://dbpedia.org/ontology/occupation> relationships in DBpedia.

Metadata

CodeOC
Internal namedbpedia-occupation
NameOccupations
Data sourcehttp://wiki.dbpedia.org/Downloads
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Affiliation network
Dataset timestamp 2001 ⋯ 2017
Node meaningPerson, occupation
Edge meaningAssociation
Network formatBipartite, undirected
Edge typeUnweighted, no multiple edges

Statistics

Size n =229,307
Left size n1 =127,577
Right size n2 =101,730
Volume m =250,945
Wedge count s =335,154,441
Claw count z =1,306,969,930,352
Cross count x =4,967,920,242,807,365
Square count q =24,509,245
4-Tour count T4 =1,537,212,834
Maximum degree dmax =17,997
Maximum left degree d1max =24
Maximum right degree d2max =17,997
Average degree d =2.188 73
Average left degree d1 =1.967 01
Average right degree d2 =2.466 77
Fill p =1.933 56 × 10−5
Size of LCC N =143,220
Diameter δ =24
50-Percentile effective diameter δ0.5 =4.383 41
90-Percentile effective diameter δ0.9 =6.770 30
Median distance δM =5
Mean distance δm =5.198 51
Gini coefficient G =0.454 552
Balanced inequality ratio P =0.347 200
Left balanced inequality ratio P1 =0.392 126
Right balanced inequality ratio P2 =0.287 824
Relative edge distribution entropy Her =0.859 208
Power law exponent γ =4.145 40
Tail power law exponent γt =1.761 00
Tail power law exponent with p γ3 =1.761 00
p-value p =0.638 000
Left tail power law exponent with p γ3,1 =5.161 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =1.731 00
Right p-value p2 =0.825 000
Degree assortativity ρ =+0.028 052 2
Degree assortativity p-value pρ =7.149 25 × 10−45
Spectral norm α =138.395
Algebraic connectivity a =0.003 010 06
Spectral separation |λ1[A] / λ2[A]| =1.226 83
Controllability C =52,600
Relative controllability Cr =0.229 393

Plots

Fruchterman–Reingold graph drawing

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Delaunay graph drawing

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.