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Social Network Analysis is a book category focused on understanding the structure and dynamics of relationships among individuals, groups, and organizations by modeling them as networks of nodes and ties. Books in this area span foundational theory and methodology—drawing on graph theory, statistics, and computational modeling—alongside practical guidance on data collection, visualization, and analysis. Core topics include centrality and cohesion, community detection, diffusion and contagion, network evolution, and multiplex or temporal networks. The category features applied case studies across sociology, political science, public health and epidemiology, marketing, organizational studies, and digital platforms, as well as discussions of ethics, privacy, and responsible inference. Aimed at students, researchers, and practitioners, these works equip readers to analyze, interpret, and leverage network structure to answer substantive social questions.

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