Long-format table mapping each of the 624 actors in actors
to every genre of every movie they appeared in. Use this to build an
actor co-occurrence network grouped by genre: which actors share the
same genres? Pass field = "actor" and by = "genre" to
cooccurrence.
Format
A data frame with 2,502 rows and 2 variables:
- actor
Actor name.
- genre
Genre label (one row per actor-genre combination).
Examples
head(actor_genres)
#> actor genre
#> 1 Phil Harris Adventure
#> 2 Phil Harris Animation
#> 3 Phil Harris Comedy
#> 4 Larry Clemmons Adventure
#> 5 Larry Clemmons Animation
#> 6 Larry Clemmons Comedy
cooccurrence(actor_genres, field = "actor", by = "genre", similarity = "jaccard")
#> # cooccurrence: 624 nodes, 172390 edges | density: 0.8869 | mean degree: 552.5321 | 20 transactions
#> # similarity: jaccard | counting: full
#> # possible edges: 194376 | isolates: 0
#> # top nodes: Babu Pathak(deg=623,str=240.1), Sheila Allen(deg=623,str=240.1), Stacey Pickren(deg=623,str=240.1), Armando Pizzuti(deg=623,str=236.2), Shameer Muhammed(deg=623,str=236.2)
#> from to weight count
#> Adam Brown Adnan Ghani 1 4
#> Adam Brown Akimasa Ohmori 1 4
#> Adnan Ghani Akimasa Ohmori 1 4
#> Adam Strick Aleks Le 1 3
#> Akash Dev Anil K. Shivaram 1 5
#> Abhilash Anson Antony 1 4
#> Abhilash Antony Varghese 1 4
#> Anson Antony Antony Varghese 1 4
#> Ashwani Chopra Asif Ali Beg 1 5
#> Aamani Banerjee 1 3
#> # ... 172380 more edges