% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{actors}
\alias{actors}
\title{IMDB actor-movie long table (1970-2024)}
\format{
A data frame with 1,267 rows and 7 variables:
\describe{
\item{actor}{Actor name.}
\item{tconst}{IMDB title identifier linking to \code{\link{movies}}.}
\item{primaryTitle}{Movie title.}
\item{startYear}{Release year (integer).}
\item{decade}{Release decade as a character string.}
\item{genres}{Comma-separated genre labels for the linked movie.}
\item{averageRating}{IMDB average user rating for the linked movie.}
}
}
\source{
\url{https://developer.imdb.com/non-commercial-datasets/}
}
\usage{
actors
}
\description{
Long-format bipartite table linking actors to movies in
\code{\link{movies}}. Pre-filtered to the 624 actors who appear in at
least two movies, so all similarity measures compute instantly.
Pass \code{field = "actor"} and \code{by = "tconst"} to
\code{\link{cooccurrence}} to build an actor co-appearance network.
}
\examples{
head(actors)
cooccurrence(actors, field = "actor", by = "tconst", similarity = "jaccard")
}
\keyword{datasets}
