Unraveling Network Connections in Podcasting

This chapter explores the interconnectedness of podcast guests over a decade, focusing on the concept of 'connected components' within their network. The discussion includes the methodology for guest selection, utilizing machine learning to analyze interdisciplinary connections and highlighting those less represented in mainstream media. Additionally, the speakers delve into community detection techniques and the importance of effective data visualization in understanding complex relationships among scholarly authors.