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Leading by the Nodes: A Survey of Film Industry Network Analysis and Datasets

Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones, Deb Verhoeven

TL;DR

This survey focuses more specifically on examining research that employs network analysis to evaluate the film industry itself, revealing the social and business relationships involved in film production, distribution, and consumption.

Abstract

This paper presents a comprehensive survey of network analysis research on the film industry, aiming to evaluate its emergence as a field of study and identify potential areas for further research. Many foundational network studies made use of the abundant data from the Internet Movie Database (IMDb) to test network methodologies. This survey focuses more specifically on examining research that employs network analysis to evaluate the film industry itself, revealing the social and business relationships involved in film production, distribution, and consumption. The paper adopts a classification approach based on node type and summarizes the key contributions in relation to each. The review provides insights into the structure and interconnectedness of the field, highlighting clusters of debates and shedding light on the areas in need of further theoretical and methodological development. In addition, this survey contributes to understanding film industry network analysis and informs researchers interested in network methods within the film industry and related cultural sectors.

Leading by the Nodes: A Survey of Film Industry Network Analysis and Datasets

TL;DR

This survey focuses more specifically on examining research that employs network analysis to evaluate the film industry itself, revealing the social and business relationships involved in film production, distribution, and consumption.

Abstract

This paper presents a comprehensive survey of network analysis research on the film industry, aiming to evaluate its emergence as a field of study and identify potential areas for further research. Many foundational network studies made use of the abundant data from the Internet Movie Database (IMDb) to test network methodologies. This survey focuses more specifically on examining research that employs network analysis to evaluate the film industry itself, revealing the social and business relationships involved in film production, distribution, and consumption. The paper adopts a classification approach based on node type and summarizes the key contributions in relation to each. The review provides insights into the structure and interconnectedness of the field, highlighting clusters of debates and shedding light on the areas in need of further theoretical and methodological development. In addition, this survey contributes to understanding film industry network analysis and informs researchers interested in network methods within the film industry and related cultural sectors.
Paper Structure (20 sections, 1 figure, 3 tables)

This paper contains 20 sections, 1 figure, 3 tables.

Figures (1)

  • Figure 1: Frequency distributions of (a) the number of papers reviewed by node type, (b) the papers based on node type from years 1983 to 2022, and (c) the citations per each node category over the years. Note that the numbers by node type do not sum to 51 as papers may analyze more than one type of node.