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Opinion dynamics is a category for books that examine how individual beliefs and preferences form, spread, and evolve through social interaction. Drawing on social psychology, sociology, political science, economics, network science, and computer science, these works analyze mechanisms of social influence and information flow—conformity, persuasion, peer effects, media and platform algorithms, and network structure—to explain outcomes like consensus, polarization, echo chambers, rumor and misinformation diffusion, and collective decision making. Titles range from mathematically and computationally oriented treatments (for example, agent-based models, network and game-theoretic analyses, averaging and bounded-confidence models) to empirical and experimental studies of communities and online platforms, as well as accessible syntheses for practitioners. The unifying focus is modeling and measuring how interactions among individuals generate large-scale patterns of opinion in societies and organizations, with applications to elections, public health, marketing, content moderation, and policy design.

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