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Sociology is interested in the ways people shape the society they live in, and the ways society shapes them. Simply, it is the study of what modern society is and how it functions. In the series' inimitable style, Introducing Sociology traces the origins of sociology from industrialization, revolution and the Enlightenment through to globalization, neoliberalism and the fear of nationalism – introducing you to key thinkers, movements and concepts along the way. You will develop insight into the world around you, as you engage your 'sociological imagination' and explore studies of the city, theories of power and knowledge, concepts of national, racial and sexual identity, and much more.
A comprehensive textbook on the tools of mathematical sociology and their applications Mathematical models and computer simulations of complex social systems have become everyday tools in sociology. Yet until now, students had no up-to-date textbook from which to learn these techniques. Introduction to Mathematical Sociology fills this gap, providing undergraduates with a comprehensive, self-contained primer on the mathematical tools and applications that sociologists use to understand social behavior. Phillip Bonacich and Philip Lu cover all the essential mathematics, including linear algebra, graph theory, set theory, game theory, and probability. They show how to apply these mathematical tools to demography; patterns of power, influence, and friendship in social networks; Markov chains; the evolution and stability of cooperation in human groups; chaotic and complex systems; and more. Introduction to Mathematical Sociology also features numerous exercises throughout, and is accompanied by easy-to-use Mathematica-based computer simulations that students can use to examine the effects of changing parameters on model behavior. Provides an up-to-date and self-contained introduction to mathematical sociology Explains essential mathematical tools and their applications Includes numerous exercises throughout Features easy-to-use computer simulations to help students master concepts