Visualizing Patterns, Communities, and Opportunities for Joint Investments in the Film Industry: A Social Network Analysis Perspective

Document Type : Call for Special Issue on Development of Creative Industries

Authors

1 Shahid Beheshti

2 School of Management, Sharif University of Technology

3 Educational Department of Industrial Engineering, Technical and Engineering Faculty of Damghan University, Semnan Province

4 Faculty of Mechanical Engineering, Khwaja Nasiruddin Tusi University of Technology

Abstract

The global film industry has witnessed increased collaboration and international investment in recent years. However, a comprehensive analysis of joint investments in this domain is lacking. This study employs social network analysis (SNA) to examine collaboration opportunities and joint investments in the film industry. A network consisting of 150 countries based on shared creative themes in their film productions was constructed, comprising over 7,800 connections. Utilizing centrality measures, key countries such as the United States, China, and the United Kingdom were identified as influential hubs with strong potential to drive industry growth through partnerships.

Further analysis through community detection unveiled distinct thematic clusters united by collaborative creative efforts. For instance, the "Global Thrill Seekers" community creates action films, while the "Cultural-Social Cinema" group deals with global cultural and social issues. Each community presents unique perspectives for international collaboration and co-production. This analysis provides valuable insights into the structure and dynamics of the global film network, while highlighting potential avenues for future investments and collaboration. This research underscores the importance of utilizing SNA techniques to optimize decision-making regarding joint investments and predicting outcomes, serving as a model for data-driven participation analysis in creative industries.

Keywords

Main Subjects

References

Bayat, A., and Fathian, M. (2021). “The Explanation of National Internet Concept based on Situational Analysis”. Journal of Science and Technology Policy, 14(3), pp. 91-106. {In Persian} https://doi.org/10.22034/jstp.2021.14.3.1379
Bedi, P., and Sharma, C. (2016). Community detection in social networks. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 6(3), pp. 115-135.
Behrens, R., Foutz, N. Z., Franklin, M., Funk, J., Gutierrez-Navratil, F., Hofmann, J., and Leibfried, U. (2021). Leveraging analytics to produce compelling and profitable film content. Journal of Cultural Economics, 45, pp. 171-211.
Betzler, D., and Leuschen, L. (2021). Digitised value chains in the creative industries: Is there a convergence of Swiss film and game production? Creative Industries Journal, 14(3), pp. 226-244.
Bulgurcu, B., Van Osch, W., and Kane, G. C. (2018). The rise of the promoters: user classes and contribution patterns in enterprise social media. Journal of management information systems, 35(2), pp. 610-646.
Dašić, D., and Kostadinović, G. (2022). Film Industry in the Function of Destination Branding. 6th International Thematic Monograph Modern Management Tools and Economy of Tourism Sector in Present Era. UDEKOM, pp. 441-456.
Dastidar, S. G., and Elliott, C. (2020). The Indian film industry in a changing international market. Journal of Cultural Economics, 44, pp. 97-116.
Ding, Y., Wu, C., Liu, X., Zou, Y., and Zhou, P. (2022). WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction. arXiv preprint arXiv:2207.02423.
El-Moussaoui, M., Agouti, T., Tikniouine, A., and Adnani, M. E. L. (2019). A comprehensive literature review on community detection: Approaches and applications. Procedia Computer Science, 151,  pp. 295-302. https://doi.org/10.1016/j.procs.2019.04.042
Guo, P. (2023). Research the Development of International Joint Film Production in the Context of the New Era. Studies in Art and Architecture, 2(2), pp. 16-20.
HabibAgahi, M. R., Kermani, M. A. M. A., and Maghsoudi, M. (2022). On the Co-authorship network analysis in the Process Mining research Community: A social network analysis perspective. Expert Systems with Applications, 206, 117853. {In Persian}
Jalilvand Khosravi,  M., Maghsoudi, M., and Salavatian, S. (2022). Identifying and Clustering Users of VOD Platforms Using SNA Technique: A case study of Cinemamarket. New Marketing Research Journal, 11(4), pp. 20-21.{In Persian}
Johnsen, M. (2023). The Art of Investing in Film: Strategies for Success. Maria Johnsen.
Juhász, S., Tóth, G., and Lengyel, B. (2020). Brokering the core and the periphery: Creative success and collaboration networks in the film industry. PloS one, 15(2), e0229436.
Kanani, F., Rasoulian, P., Hafezi, R., and Ahangari, S. S. (2023). Analysis of the Artificial Intelligence Ecosystem in Iran and Identifying Institutional and Functional Gaps. Journal of Science and Technology Policy, 16(2), pp. 59-77. https://doi.org/10.22034/jstp.2023.11303.1648 {In Persian}
Kermani, M. A., Maghsoudi, M., Hamedani, M. S., and Bozorgipour, A. (2022). Analyzing the interorganizational collaborations in crisis management in coping with COVID-19 using social network analysis: Case of Iran. Journal of emergency management (Weston, Mass.), 20(3), pp. 249-266. {In Persian}
Kokas, A. (2020). Serious chemistry on set: the molecular structure of film investment in China. International Journal of Cultural Policy, 26(4), pp. 446-458. https://doi.org/10.1080/10286632.2019.1614568
Kübler, R., Seifert, R., and Kandziora, M. (2021). Content valuation strategies for digital subscription platforms. Journal of Cultural Economics, 45, pp. 295-326.
Lee, Y. W., Moon, H.-C., and Yin, W. (2020). Innovation process in the business ecosystem: the four cooperations practices in the media platform. Business Process Management Journal, 26(4), pp. 943-971.
Leem, S., Oh, J., So, D., and  Moon, J. (2023). Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification. Entropy, 25(4), p. 571. https://www.mdpi.com/1099-4300/25/4/571
Maghsoudi, M., Jalilvand Khosravi, M., and Salavatian, S. (2023). Analyzing the Ecosystem of Iranian websites for Watching and Downloading videos based on User Behavior. Iranian Journal of Information Processing and Management, 38(3), pp. 1067-1094.  {In Persian}
Maghsoudi, M., Shokouhyar, S., Khanizadeh, S., and Shokoohyar, S. (2023). Towards a taxonomy of waste management research: An application of community detection in keyword network. Journal of cleaner production, 136587. {In Persian}  https://doi.org/https://doi.org/10.1016/j.jclepro.2023.136587
Maghsoudi, M., and Shumaly, S. Study of co-authorship network of papers in all sessions of IIIEC Conference. {In Persian}
Mateer, J. (2020). Academic-Industry Collaboration for Commercial Film and Television Production: an exploration of case studies. 2019 International Conference on Global Cultural and Creative Industries: Industry-Academy Cooperation and the Opportunities in China,  pp. 203-227.
Messerlin, P., and Parc, J. (2018). In search of an effective trade policy for the film industry: Lessons from Korea. Journal of World Trade, 52.(5)
Newman, M. E. (2006). Modularity and community structure in networks. Proceedings of the national academy of sciences, 103(23),  pp. 8577-8582.
Parc, J. (2018). Evaluating the Effects of Protectionism on the Film Industry: A Case Study Analysis of Korea. Handbook of State Aid for Film: Finance, Industries and Regulation, pp. 349-366. Springer International Publishing. https://doi.org/10.1007/978-3-319-71716-6_20
Parc, J. (2021). Business integration and its impact on film industry: The case of Korean film policies from the 1960s until the present. Business History, 63(5), pp. 850-867.
Said, A., Abbasi, R. A., Maqbool, O., Daud, A., and Aljohani, N. R. (2018). CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks. Applied Soft Computing, 63, pp. 59-70. {In Persian}  https://doi.org/https://doi.org/10.1016/j.asoc.2017.11.014
Vlassis, A. (2016). Soft power, global governance of cultural industries and rising powers: the case of China. International Journal of Cultural Policy, 22(4), pp. 481-496.
Vogel, H. L. (2020). Entertainment industry economics: A guide for financial analysis. Cambridge University Press.
Yap, M., Luo, D., Cats, O., van Oort, N., and Hoogendoorn, S. (2019) Where shall we sync? Clustering passenger flows to identify urban public transport hubs and their key synchronization priorities. Transportation Research Part C: Emerging Technologies, 98, pp. 433-448.
Yayla, S., Kutlubay, O. C., Cicek, M., and Yeniyurt, S. (2023). Once upon a time in a foreign market: The role of cultural distance in the economic performance of multilateral non-equity partnerships. International Business Review, 32(4), p. 102139.
Zhang, X., and Pelton, L. (2019). Exploring the themes in the US media coverage of Wanda’s investments in Hollywood. Journal of Media Business Studies, 16(1), pp.  58-76.
Zohdi, M., Maghsoudi, M., and Nooralizadeh, H. (2022). Providing a User-Based Behavior Model to Recommend a Movie Using the Social Network Analysis (Case Study: CinemaMarket). Sciences and Techniques of Information Management, 8(1), pp. 451-484.
Science and Technology Policy Letters
Volume 13, Issue 4
March 2024
Pages 59-77

Files

History

  • Receive Date: 14 August 2023
  • Revise Date: 24 September 2023
  • Accept Date: 27 September 2023

Share

How to cite

Statistics