Overview
- 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
Part of the book series: Computational Social Sciences (CSS)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
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.
Editors and Affiliations
About the editors
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.
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
DOI: https://doi.org/10.1007/978-3-319-76765-9
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-76764-2Published: 19 June 2018
Softcover ISBN: 978-3-030-09577-2Published: 08 February 2019
eBook ISBN: 978-3-319-76765-9Published: 07 June 2018
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: X, 222
Number of Illustrations: 8 b/w illustrations, 49 illustrations in colour
Topics: Methodology of the Social Sciences, Mathematics in the Humanities and Social Sciences, Psychological Methods/Evaluation, Data-driven Science, Modeling and Theory Building, Data Mining and Knowledge Discovery, Complex Systems