This session aims to collect social network research analysing movies. Network-based research into the film and television industries (both on-screen and off) has been growing in recent years, with more and
more researchers recognising the potential of relational perspectives and methods for building understanding of cultural texts and the creative processes by which they are produced. Until now, however, such research has been disparate and has lacked the internal
dialogue and cohesion that could help this research area to develop and become more sophisticated.
Based on the existing early research in this area, we offer a few suggestions for topics in which network perspectives have shown promise for deepening our understanding of film:
* Networks and film production: e.g. networks of those involved in the making of films, including organisational research into creative teams and collaboration networks among film making professionals.
* Character networks: e.g. network models of film texts, wherein narrative dynamics and the relationships and patterns of interaction between characters in narratives are explored.
* Semantic networks: e.g. text analysis of screenplays, applications of machine learning and natural language processing techniques for analysing film texts.
* Networks and intertextuality: e.g. network methods for exploring the ways in which cultural texts increasingly refer to other cultural texts, often through transmedia storytelling, and how this might impact
the ways in which we engage with popular culture.
* Internet Movie Database: e.g. analysing IMDB as a two-mode network or the respective one mode projections.
These suggestions are not exhaustive, however, and we are open to considering any research which takes a relational approach to the study of film.