Insights from Social Network Analysis

This chapter explores exploratory data analysis in social networks, focusing on metrics like degree centrality and PageRank to uncover anomalies in academic authorship. It discusses the significance of last authors, the challenges of representation in networks, and the resilience of network metrics against misrepresentation attempts. The chapter emphasizes community detection methods and the importance of visualizing community graphs to reveal central structures and unexpected insights within the network.