A Study on the Dissemination and Acceptance of Film Music in Different Cultural Contexts Based on Big Data Analysis

Abstract

This study employs big data analysis technology, combined with social network analysis and agent-based communication models, to explore the dissemination mechanisms and acceptance differences of film music across diverse cultural contexts. “Work-to-work” and “user-to-user” communication networks are constructed, with network structural characteristics quantified using metrics such as degree centrality and intermediate centrality. Agent-based models simulate individual communication behaviors to reveal the influence of communication intent and relationship strength on communication efficiency. Empirical analysis using multi-source data reveals that an individual's status within their group is positively correlated with their dissemination behavior, and relationship strength is associated with the scope of music dissemination. As age increases, the proportion of individuals who find film music just barely acceptable gradually increases (10% and 16% for young adults, 16% for middle-aged adults, and 26% for the elderly), while the proportion who find it completely unacceptable also gradually increases (0% and 8% for young adults, 10% for middle-aged adults, and 14% for the elderly). The acceptability of film music varies little across cultural environments, with respondents from all four cultural environments reporting acceptability rates of over 80% for the example film music.