R/data_ison.R
fict_starwars.RdOne-mode network dataset collected by Gabasova (2016) on the interactions between Star Wars characters in each movie from Episode 1 ("The Phantom Menace") to Episode 7 ("The Force Awakens").
Characters are named (eg. R2-D2, Anakin, Chewbacca) and the following node attributes are provided where available: height, mass, hair color, skin color, eye color, birth year, sex, homeworld, and species. The node attribute 'faction' has also been added, denoting the faction (eg. Jedi, Rebel Alliance, etc) that Star Wars characters belong to in each episode (coding completed by Yichen Shen, Tiphaine Aeby, and James Hollway).
Weighted ties represent the number of times characters speak within the same scene of each film, indicated by the wave (1-7).
Change in the composition of the network is tracked by the variable 'active', though several other variables also change (mostly as Anakin becomes spoiler alert).
data(fict_starwars)#> -- # Star Wars network data ----------------------------------------------------
#> # A longitudinal, labelled, complex, weighted, directed network of 110
#> characters and 563 interaction arcs over 7 waves
#>
#> -- Nodes
#> # A tibble: 110 x 12
#> name species homeworld sex height hair_color eye_color skin_color
#> <chr> <chr> <chr> <chr> <int> <chr> <chr> <chr>
#> 1 Admiral Ackbar Mon Ca~ Mon Cala male 180 none orange brown mot~
#> 2 Admiral Statura Human Garel male 172 black brown light
#> 3 Anakin Human Tatooine male 188 blond blue fair
#> 4 Bail Organa Human Alderaan male 191 black brown tan
#> # i 106 more rows
#> # i 4 more variables: birth_year <dbl>, mass <dbl>, faction <chr>, active <lgl>
#>
#> -- Changes
#> # A tibble: 184 x 4
#> time node var value
#> <int> <int> <chr> <chr>
#> 1 2 7 active TRUE
#> 2 2 10 active TRUE
#> 3 2 11 active FALSE
#> 4 2 13 active FALSE
#> # i 180 more rows
#>
#> -- Ties
#> # A tibble: 563 x 4
#> from to weight wave
#> <int> <int> <int> <int>
#> 1 80 73 11 1
#> 2 80 79 14 1
#> 3 80 3 16 1
#> 4 80 106 3 1
#> # i 559 more rows
#>The network for each episode may be extracted and used separately,
eg. to_time(fict_starwars, 1) for Episode 1.
Gabasova, E. (2016). Star Wars social network.. doi:10.5281/zenodo.1411479