Actor movies

This is a bipartite network of movies and the actors that have played in them.


Internal nameactor-movie
NameActor movies
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Affiliation network
Dataset timestamp 1999
Node meaningMovie, actor
Edge meaningAppearance
Network formatBipartite, undirected
Edge typeUnweighted, no multiple edges


Size n =511,463
Left size n1 =127,823
Right size n2 =383,640
Volume m =1,470,404
Wedge count s =39,482,206
Claw count z =1,058,085,710
Cross count x =47,712,481,384
Square count q =3,503,276
4-Tour count T4 =188,903,364
Maximum degree dmax =646
Maximum left degree d1max =294
Maximum right degree d2max =646
Average degree d =5.749 80
Average left degree d1 =11.503 4
Average right degree d2 =3.832 77
Fill p =2.998 50 × 10−5
Size of LCC N =498,923
Diameter δ =27
50-Percentile effective diameter δ0.5 =6.634 76
90-Percentile effective diameter δ0.9 =8.636 01
Median distance δM =7
Mean distance δm =7.133 30
Gini coefficient G =0.687 090
Balanced inequality ratio P =0.224 123
Left balanced inequality ratio P1 =0.327 646
Right balanced inequality ratio P2 =0.234 349
Relative edge distribution entropy Her =0.932 904
Power law exponent γ =2.075 00
Tail power law exponent γt =3.631 00
Degree assortativity ρ =−0.117 625
Degree assortativity p-value pρ =0.000 00
Spectral norm α =42.251 9


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

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.