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Introduction to Mathematical Sociology

Phillip Bonacich Philip Lu

$99.99

Hardback

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English
Princeton University Press
01 April 2012
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
By:   ,
Imprint:   Princeton University Press
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 23mm
Weight:   567g
ISBN:   9780691145495
ISBN 10:   0691145490
Pages:   240
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Phillip Bonacich is professor emeritus of sociology at the University of California, Los Angeles. Philip Lu is a PhD candidate in sociology at UCLA.

Reviews for Introduction to Mathematical Sociology

[T]he volume offers certain important building blocks that can represent a bonus for students willing to learn simulation in the future... Bonacich and Lu's work brillantly introduces much of what ABM students will be requested to know in their subsequent studies. -- Giangiacomo Bravo JASSS


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