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Computational Social Sciences

Mathematical Modeling of Social Relationships

What Mathematics Can Tell Us About People

Editors: Strawinska-Zanko, Urszula, Liebovitch, Larry S. (Eds.)

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  • Features state-of-the-art applied quantitative methods to analyze and model social science systems
  • Applies such methods to a wide range of case studies in social science showing what can be learned from these new mathematical models
  • Includes a helpful study guide and carefully selected recommendations for further exploration of the topics, inclusive of readings and scholarly internet resources
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eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-319-76765-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Hardcover $99.99
price for USA in USD
  • ISBN 978-3-319-76764-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-09577-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes. This book presents the fascinating areas of empirical and theoretical investigations that use formal mathematics in a way that is accessible for individuals lacking extensive expertise but still desiring to expand their scope of research methodology and add to their data analysis toolbox.

Mathematical Modeling of Social Relationships professes how mathematical modeling can help us understand the fundamental, compelling, and yet sometimes complicated concepts that arise in the social sciences. This volume will appeal to upper-level students and researchers in a broad area of fields within the social sciences, as well as the disciplines of social psychology, complex systems, and applied mathematics.

About the authors

Urszula Strawinska-Zanko is an Assistant Professor at the Department of Conflict Resolution Studies at Nova Southeastern University, Fort Lauderdale, Florida.

Larry Liebovitch is a Professor at the Physics and Psychology Departments at Queens College and the Physics Program at The Graduate Center, City University of New York, and an Adjunct Senior Research Scholar at the Advanced Consortium for Cooperation, Conflict, and Complexity (AC4) at The Earth Institute at Columbia University in the City of New York. He is a former Springer author and boardmember of Springer's Computational Social Science series.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Introduction to the Mathematical Modeling of Social Relationships

    Pages 1-15

    Strawinska-Zanko, Urszula (et al.)

  • Dynamic Models of Social Interaction

    Pages 17-29

    Gottman, John M. (et al.)

  • Quantitative Video Coding of Therapist-Client Sessions

    Pages 31-50

    Peluso, Paul R. (et al.)

  • Dynamical Analysis of Therapist-Client Interactions

    Pages 51-68

    Peluso, Paul R. (et al.)

  • Modeling Psychotherapy Encounters: Rupture and Repair

    Pages 69-88

    Strawinska-Zanko, Urszula (et al.)

Buy this book

eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-319-76765-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.99
price for USA in USD
  • ISBN 978-3-319-76764-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-09577-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Mathematical Modeling of Social Relationships
Book Subtitle
What Mathematics Can Tell Us About People
Editors
  • Urszula Strawinska-Zanko
  • Larry S. Liebovitch
Series Title
Computational Social Sciences
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-76765-9
DOI
10.1007/978-3-319-76765-9
Hardcover ISBN
978-3-319-76764-2
Softcover ISBN
978-3-030-09577-2
Series ISSN
2509-9574
Edition Number
1
Number of Pages
X, 222
Number of Illustrations
8 b/w illustrations, 49 illustrations in colour
Topics