Leading by the nodes: a survey of film industry network analysis and datasets.

IF 1.3 Q3 COMPUTER SCIENCE, THEORY & METHODS Applied Network Science Pub Date : 2024-01-01 Epub Date: 2024-12-18 DOI:10.1007/s41109-024-00673-9
Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones, Deb Verhoeven
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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 summarises 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.

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以节点为主导:电影产业网络分析与数据集调查。
本文对电影产业的网络分析研究进行了全面的综述,旨在评估其作为一个研究领域的出现,并确定进一步研究的潜在领域。许多基础网络研究都利用来自互联网电影数据库(IMDb)的大量数据来检验网络方法。本调查更侧重于研究使用网络分析来评估电影产业本身的研究,揭示电影制作、发行和消费中涉及的社会和商业关系。本文采用了基于节点类型的分类方法,并总结了与每个节点相关的关键贡献。该评论提供了对该领域结构和相互联系的见解,突出了辩论的集群,并阐明了需要进一步理论和方法发展的领域。此外,这项调查有助于理解电影产业网络分析,并为对电影产业和相关文化部门的网络方法感兴趣的研究人员提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Network Science
Applied Network Science Multidisciplinary-Multidisciplinary
CiteScore
4.60
自引率
4.50%
发文量
74
审稿时长
5 weeks
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