Dadlani Aresh, Vo Vi, Khemka Ayushi, Harvey Sophie Talalay, Kantoro Kyzy Aigul, Jones Pete, Verhoeven Deb
Department of Mathematics and Computing, Mount Royal University, Calgary, Alberta Canada.
Faculty of Arts, University of Alberta, Edmonton, Alberta Canada.
Appl Netw Sci. 2024;9(1):76. doi: 10.1007/s41109-024-00673-9. Epub 2024 Dec 18.
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.
本文对电影行业的网络分析研究进行了全面综述，旨在评估其作为一个研究领域的兴起，并确定进一步研究的潜在领域。许多基础网络研究利用了来自互联网电影数据库（IMDb）的丰富数据来测试网络方法。本综述更具体地侧重于审视运用网络分析来评估电影行业本身的研究，揭示电影制作、发行和消费中涉及的社会和商业关系。本文采用基于节点类型的分类方法，并总结了与之相关的关键贡献。该综述深入探讨了该领域的结构和相互关联性，突出了争论焦点，并阐明了需要进一步进行理论和方法发展的领域。此外，本综述有助于理解电影行业网络分析，并为电影行业及相关文化领域中对网络方法感兴趣的研究人员提供信息。
