Social Network Analysis for Cultural and Creative Industries

Understanding how creative professionals, artistic movements, and cultural organizations interact is essential for modern cultural analysis. This text-based course introduces the core concepts and methodologies of social network analysis applied specifically to cultural production and creative networks. You will develop a solid understanding of relational data and learn how network structures influence innovation, distribution, and creative success. What you will learn: Understand fundamental network terminology, graph theory principles, and relational data structures; Calculate and interpret key structural metrics including centrality, clustering coefficients, and network density; Analyze community formation, structural holes, and connectedness within creative collaborations; Apply network analysis concepts to map cultural production ecosystems and artistic fields; Explore modern computational approaches and data preparation techniques for relational datasets. The course begins with foundational concepts and core definitions before progressing to structural calculations and practical cultural network interpretation through guided text explanations and practical examples. This course is designed for beginners, cultural researchers, arts managers, and analysts seeking a clear entry point into network science with no prior experience required. Start reading today to analyze cultural collaboration through network science.