logo Netzschleuder network catalog, repository, and centrifuge

hollywood_actors — Movie actor collaborations (IMDb, 2009-2021)

Description

Three snapshots, from 2009, 2011 and 2021, of the collaboration network of movie actors, built by the Laboratory for Web Algorithmics (LAW) from the Internet Movie Database (IMDb). Nodes are people whose participation in a movie (or other production listed in IMDb) is characterized as "actor", "actress" or "self", and an undirected edge connects two of them if they appeared together in at least one production. It is thus a one-mode projection of the bipartite actor-production network, and edges are unweighted (the number of joint appearances is not given).

LAW distributes the first two as hollywood-2009 and hollywood-2011, and the third, built from the IMDb datasets (https://www.imdb.com/interfaces/), as imdb-2021: the series was renamed because the graphs contain people outside of Hollywood, and to make the data source clearer.

Sizes: 2009 has 1,139,905 actors and 113,891,327 arcs in the symmetric LAW graph (i.e. about 57 million undirected edges); 2011 has 2,180,759 actors and 228,985,632 arcs (about 114.5 million undirected edges); 2021 has 2,996,317 actors and 10,739,291 arcs (about 5.4 million undirected edges). LAW does not explain why the 2021 graph is so much sparser than the earlier ones.

Vertex property: name, the IMDb name of the person (2009 and 2011), or imdb_id, the IMDb identifier of the person (e.g. nm0000001; 2021, for which LAW gives only identifiers). LAW notes that, being derived from IMDb, the data are subject to its terms and conditions for redistribution.

Tags
Social Collaboration Unweighted Projection
Citation
  • P. Boldi and S. Vigna, "The WebGraph framework I: compression techniques." Proceedings of the 13th International Conference on World Wide Web (WWW 2004), 595-602 (2004). 10.1145/988672.988752 Sci-Hub
  • P. Boldi, M. Rosa, M. Santini, and S. Vigna, "Layered label propagation: a multiresolution coordinate-free ordering for compressing social networks." Proceedings of the 20th International Conference on World Wide Web (WWW 2011), 587-596 (2011). 10.1145/1963405.1963488 Sci-Hub
Upstream URL OK
https://law.di.unimi.it/datasets.php
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
2009 1,139,905 57,515,616 100.91 271.86 2247.37 643.92 0.36 0.31 12 0.94 Undirected Unipartite name 54.9 MiB 160.3 MiB 156.0 MiB 155.2 MiB
2011 2,180,759 114,492,816 105.00 316.16 1826.40 2834.67 0.21 0.18 15 0.88 Undirected Unipartite name 108.6 MiB 323.5 MiB 311.8 MiB 310.0 MiB
2021 — — — — — — — — — — N/A N/A N/A N/A