Library Catalog
Amazon cover image
Image from Amazon.com

Introduction to Mathematical Sociology / Phillip Bonacich, Philip Lu.

By: Contributor(s): Material type: TextTextPublisher: Princeton, NJ : Princeton University Press, [2012]Copyright date: 2012Description: 1 online resource (240 p.) : 25 halftones. 58 line illus. 30 tablesContent type:
Media type:
Carrier type:
ISBN:
  • 9781400842452
Subject(s): DDC classification:
  • 302.301/513 302.301513
LOC classification:
  • HM529 .B66 2012
Other classification:
  • online - DeGruyter
Online resources:
Contents:
Frontmatter -- CONTENTS -- List of Figures -- List of Tables -- Preface -- 1. Introduction -- 2. Set Theory and Mathematical Truth -- 3. Probability: Pure and Applied -- 4. Relations and Functions -- 5. Networks and Graphs -- 6. Weak Ties -- 7. Vectors and Matrices -- 8. Adding and Multiplying Matrices -- 9. Cliques and Other Groups -- 10. Centrality -- 11. Small-World Networks -- 12. Scale-Free Networks -- 13. Balance Theory -- 14. Markov Chains -- 15. Demography -- 16. Evolutionary Game Theory -- 17. Power and Cooperative Games -- 18. Complexity and Chaos -- Afterword: “Resistance Is Futile” -- Bibliography -- Index
Summary: A comprehensive textbook on the tools of mathematical sociology and their applicationsMathematical 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 sociologyExplains essential mathematical tools and their applicationsIncludes numerous exercises throughoutFeatures easy-to-use computer simulations to help students master concepts
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9781400842452

Frontmatter -- CONTENTS -- List of Figures -- List of Tables -- Preface -- 1. Introduction -- 2. Set Theory and Mathematical Truth -- 3. Probability: Pure and Applied -- 4. Relations and Functions -- 5. Networks and Graphs -- 6. Weak Ties -- 7. Vectors and Matrices -- 8. Adding and Multiplying Matrices -- 9. Cliques and Other Groups -- 10. Centrality -- 11. Small-World Networks -- 12. Scale-Free Networks -- 13. Balance Theory -- 14. Markov Chains -- 15. Demography -- 16. Evolutionary Game Theory -- 17. Power and Cooperative Games -- 18. Complexity and Chaos -- Afterword: “Resistance Is Futile” -- Bibliography -- Index

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

A comprehensive textbook on the tools of mathematical sociology and their applicationsMathematical 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 sociologyExplains essential mathematical tools and their applicationsIncludes numerous exercises throughoutFeatures easy-to-use computer simulations to help students master concepts

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Aug 2024)