Actor collaborations

These are actor connected by an edge if they both appeared in the same movie. Each edge is one collaboration, and thus multiple edges are possible.


Internal nameactor-collaboration
NameActor collaborations
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Miscellaneous network
Dataset timestamp 1999
Node meaningActor
Edge meaningCollaboration
Network formatUnipartite, undirected
Edge typeUnweighted, multiple edges
LoopsDoes not contain loops


Size n =382,219
Volume m =33,115,812
Unique edge count m̿ =30,076,166
Loop count l =0
Wedge count s =6,266,209,411
Claw count z =18,499,665,265,236
Cross count x =15,470,703,653,059,368
Triangle count t =346,813,199
Square count q =86,624,264,954
4-Tour count T4 =718,089,033,442
Maximum degree dmax =16,764
Average degree d =173.282
Fill p =0.000 411 746
Average edge multiplicity m̃ =1.101 06
Size of LCC N =374,511
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.158 73
90-Percentile effective diameter δ0.9 =4.309 99
Median distance δM =4
Mean distance δm =3.698 04
Gini coefficient G =0.668 859
Balanced inequality ratio P =0.242 902
Relative edge distribution entropy Her =0.931 486
Power law exponent γ =1.281 64
Tail power law exponent γt =2.131 00
Degree assortativity ρ =+0.226 725
Degree assortativity p-value pρ =0.000 00
Clustering coefficient c =0.166 040
Spectral norm α =3,278.61
Spectral separation 1[A] / λ2[A]| =1.489 02
Non-bipartivity bA =0.867 127
Normalized non-bipartivity bN =0.153 139
Algebraic non-bipartivity χ =0.235 956
Spectral bipartite frustration bK =0.000 735 675
Controllability C =473
Relative controllability Cr =0.001 237 51


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

Edge weight/multiplicity distribution


Matrix decompositions plots



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Albert-László Barabási and Réka Albert. Emergence of scaling in random networks. Science, 286(5439):509–512, 1999.