A small hand-crafted dataset of 30 well-known actors across 10 classic
films, with each film carrying its full genre list. Designed for quick
exploration in the Shiny app. One row per movie-actor-genre triple, so
every pairing of field and by yields a network: actors
linked by shared films, genres linked by shared films, or actors linked
by shared genres.
Format
A data frame with 89 rows and 3 variables:
- movie
Movie title.
- actor
Actor name.
- genre
Genre label. Films carry every genre they belong to, so a movie contributes several rows per actor.
Examples
head(demo)
#> movie actor genre
#> 1 The Godfather Al Pacino Crime
#> 2 The Godfather Al Pacino Drama
#> 3 The Godfather James Caan Crime
#> 4 The Godfather James Caan Drama
#> 5 The Godfather Marlon Brando Crime
#> 6 The Godfather Marlon Brando Drama
# Actors linked by the films they share
cooccurrence(demo, field = "actor", by = "movie", similarity = "jaccard")
#> # cooccurrence: 30 nodes, 43 edges | density: 0.0989 | mean degree: 2.8667 | 10 transactions
#> # similarity: jaccard | counting: full
#> # possible edges: 435 | isolates: 0
#> # top nodes: Al Pacino(deg=6,str=2.833), Robert De Niro(deg=6,str=2.833), Leonardo DiCaprio(deg=5,str=2.333), Michael Caine(deg=4,str=1.833), Bruce Willis(deg=3,str=3)
#> from to weight count
#> Brad Pitt Edward Norton 1 1
#> Christian Bale Heath Ledger 1 1
#> Brad Pitt Helena Bonham Carter 1 1
#> Edward Norton Helena Bonham Carter 1 1
#> Bruce Willis John Travolta 1 1
#> Javier Bardem Josh Brolin 1 1
#> Joe Pesci Lorraine Bracco 1 1
#> Jack Nicholson Mark Wahlberg 1 1
#> James Caan Marlon Brando 1 1
#> Jack Nicholson Matt Damon 1 1
#> # ... 33 more edges
# Genres linked by the films they share
cooccurrence(demo, field = "genre", by = "movie", similarity = "jaccard")
#> # cooccurrence: 8 nodes, 11 edges | density: 0.3929 | mean degree: 2.7500 | 10 transactions
#> # similarity: jaccard | counting: full
#> # possible edges: 28 | isolates: 0
#> # top nodes: Drama(deg=5,str=1.533), Crime(deg=4,str=1.421), Action(deg=4,str=1.117), Adventure(deg=2,str=1.333), Sci-Fi(deg=2,str=1.333)
#> from to weight count
#> Adventure Sci-Fi 1.0000000 1
#> Crime Drama 0.7777778 7
#> Action Adventure 0.3333333 1
#> Action Sci-Fi 0.3333333 1
#> Drama Thriller 0.3333333 3
#> Action Crime 0.2500000 2
#> Crime Thriller 0.2500000 2
#> Action Drama 0.2000000 2
#> Biography Crime 0.1428571 1
#> Biography Drama 0.1111111 1
#> # ... 1 more edges
# Actors linked by the genres they share
cooccurrence(demo, field = "actor", by = "genre")
#> # cooccurrence: 30 nodes, 414 edges | density: 0.9517 | mean degree: 27.6000 | 8 transactions
#> # similarity: none | counting: full
#> # possible edges: 435 | isolates: 0
#> # top nodes: Leonardo DiCaprio(deg=29,str=72), Michael Caine(deg=29,str=63), Robert De Niro(deg=29,str=62), Al Pacino(deg=29,str=59), Christian Bale(deg=29,str=59)
#> from to weight count
#> Leonardo DiCaprio Michael Caine 5 5
#> Al Pacino Christian Bale 3 3
#> Al Pacino Heath Ledger 3 3
#> Christian Bale Heath Ledger 3 3
#> Jack Nicholson Javier Bardem 3 3
#> Al Pacino Jon Voight 3 3
#> Christian Bale Jon Voight 3 3
#> Heath Ledger Jon Voight 3 3
#> Jack Nicholson Josh Brolin 3 3
#> Javier Bardem Josh Brolin 3 3
#> # ... 404 more edges