Title: Multilayer Network Model of Movie Script,
Abstract: Network models have been increasingly used in the past years to support
summarization and analysis of narratives, such as famous TV series, books and
news. Inspired by social network analysis, most of these models focus on the
characters at play. The network model well captures all characters
interactions, giving a broad picture of the narration's content. A few works
went beyond by introducing additional semantic elements, always captured in a
single layer network. In contrast, we introduce in this work a multilayer
network model to capture more elements of the narration of a movie from its
script: people, locations, and other semantic elements. This model enables new
measures and insights on movies. We demonstrate this model on two very popular
movies.