Organizing Patterns and Evolution of Indian Movie Industry

Radhakrishnan, Srinivasan; Jacob, Rohit John; Duvvuru, Arjun; Kamrthi, Sagar

doi:10.1016/j.procs.2014.09.070

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Average weighted degree: The average weighted degree is a graph computed with weighted edges (Radhakrishnan et al 2014). It is the average mean of the sum of the weights of incident edges on nodes in the graph; 3.…”

Section: Network and Centrality Analysismentioning

confidence: 99%

Collaboration and Competition: A Social Network Analysis of Thailand’s Music Industry

Peechapat,

Puttanapong

2024

Economies

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This study quantitatively investigates the collaborative framework and competitive landscape of Thailand’s evolving music industry, driven by technological progress and changing consumer preferences. By examining data obtained from Thailand’s Department of Intellectual Property, specifically 138,868 songs, it explores the complex network of relationships among music creators, artists, and various rights-holders, including those associated with recording, music, melodies, and lyrics. Utilizing social network analysis, this research uncovers a power law distribution in these networks, reflecting a scale-free market configuration. This characteristic is marked by a few dominant players exercising considerable market influence, contrasted with numerous less-interconnected participants. This investigation notes regular patterns of collaboration between artists and different rights-holders. Furthermore, the network of music creators displays small-world properties, with short collaborative distances fostering efficient information exchange and creative synergy. Crucially, this study identifies key influential players instrumental in directing the industry’s major trends, highlighting their role in market concentration. These significant findings will provide critical evidence for informing future policy development aimed at improving efficiency and equity in the digital content industries.

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Section: Network and Centrality Analysismentioning

confidence: 99%

Collaboration and Competition: A Social Network Analysis of Thailand’s Music Industry

Peechapat,

Puttanapong

2024

Economies

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“…To sum up, there has been more research in the field of film geography, which tends to be "spatial", and this has laid a good foundation for further work. However, most of the existing studies have focused on the box office revenues of individual films [22,23] or films in a particular country [24,25]. Moreover, studies on multiple countries have suffered from endogeneity and underrepresentation [16], without examining the overall pattern of the evolution of the world box office from a more macroscopic perspective of time and space.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Characteristics and Influencing Factors of G20 Box Office Revenues: A Film Geography Perspective

et al. 2022

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The geography of film is an interdisciplinary field of geography and communication. Understanding the spatial and temporal characteristics of the global box office scale represented by the G20 is important for expanding the research scope of film geography focusing on “space” and promoting the development of film industries around the world. This paper studies the spatial and temporal characteristics and influencing factors of G20 box office revenues 2003–2019 using the Theil coefficient, spatial analysis, and a panel vector auto-regressive model. According to the research: (1) the distribution of the top box office revenues within the G20 is obvious; the scale differences among these countries are gradually decreasing and the scale differences between China and the United States are the most significant; (2) the box office differences of the G20 are gradually decreasing; the Asian movie market represented by China and South Korea is developing rapidly; (3) from the perspective of the transfer of movie box office scale types within a Markov Chain, the number of countries in type II and III is the largest and the transfer among different types is mainly to high-level types; and (4) the factors influencing the box office of G20 movies are the number of screens, per capita gross national income, the working-age population, and GDP, respectively.

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An Analysis of Actors in Malay Films: Small Worlds, Centralities and Genre Diversity

2023

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This article utilizes social network analysis in addition to a measure of genre diversity to quantify the quality and capacity of actors in the Malay language film industry. We built a dataset by collecting data from various websites pertaining to Malay films. The data consists of 180 Malay films released from 2015 until 2020. The actor network is then built by connecting actors co-starring in a movie together and is compared to small world networks. We quantified the quality of actors in the network using five measures: number of films (TFA), degree centrality (DC), strength centrality (SC), betweenness centrality (BC), and normalized Herfindahl–Hirschman Index (NHHI). TFA, DC and SC indicate experience in the industry, since a high TFA shows that an actor has acted in more films. A high DC shows an actor has worked with many co-stars, and a high SC reflects an actor’s frequency of co-occurrence relationship. Actors with high TFA, DC, and SC are popular in this sense. Meanwhile, BC highlights the social importance of an actor in the network where they are the middlemen that connect actors from different genres of movies in the network, and we found that high BC actors are voice actors that may not have a high TFA, DC, or SC. NHHI highlights the actor’s capability to work with different types of film, and it serves as an important measure of an actor’s versatility. Moreover, we also calculated the average shortest path in the network to search for the “Kevin Bacon” of the Malay language film actor network. Using NHHI as an indicator of genre diversity, we also show that most of the actors diversify their work over the years and that genre diversity is an important benchmark for an actor.

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Organizing Patterns and Evolution of Indian Movie Industry

Cited by 3 publications

References 2 publications

Collaboration and Competition: A Social Network Analysis of Thailand’s Music Industry

Collaboration and Competition: A Social Network Analysis of Thailand’s Music Industry

Spatial and Temporal Characteristics and Influencing Factors of G20 Box Office Revenues: A Film Geography Perspective

An Analysis of Actors in Malay Films: Small Worlds, Centralities and Genre Diversity

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