IMDB

This is a bipartite movie-actor network extracted from IMDB. Nodes are movies and actors, and an edge denotes that an actor played in a movie. This is the type of network used to calculate "Bacon numbers".

Metadata

CodeIM
Internal nameactor2
NameIMDB
Data sourcehttp://www.cise.ufl.edu/research/sparse/matrices/Pajek/IMDB.html
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Affiliation network
Dataset timestamp 2006
Node meaningMovie, actor
Edge meaningAppearance
Network formatBipartite, undirected
Edge typeUnweighted, no multiple edges

Statistics

Size n =1,199,919
Left size n1 =303,617
Right size n2 =896,302
Volume m =3,782,463
Wedge count s =146,912,845
Cross count x =1,240,268,542,836
Square count q =23,017,846
4-Tour count T4 =779,360,402
Maximum degree dmax =1,590
Maximum left degree d1max =1,334
Maximum right degree d2max =1,590
Average degree d =6.304 53
Average left degree d1 =12.458 0
Average right degree d2 =4.220 08
Fill p =1.389 93 × 10−5
Size of LCC N =1,169,724
Diameter δ =26
50-Percentile effective diameter δ0.5 =6.781 67
90-Percentile effective diameter δ0.9 =9.060 29
Median distance δM =7
Mean distance δm =7.278 52
Gini coefficient G =0.681 950
Balanced inequality ratio P =0.227 760
Left balanced inequality ratio P1 =0.295 251
Right balanced inequality ratio P2 =0.222 526
Relative edge distribution entropy Her =0.927 764
Power law exponent γ =2.076 49
Tail power law exponent γt =3.401 00
Tail power law exponent with p γ3 =3.401 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =3.921 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =1.871 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.051 365 3
Degree assortativity p-value pρ =0.000 00
Spectral norm α =65.227 0
Controllability C =702,995
Relative controllability Cr =0.585 869

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 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 ]