Mathematical Modeling of Social Relationships: What Mathematics Can Tell Us About People - Couverture rigide

Livre 14 sur 26: Computational Social Sciences
 
9783319767642: Mathematical Modeling of Social Relationships: What Mathematics Can Tell Us About People

Synopsis

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.

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À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9783030095772: Mathematical Modeling of Social Relationships: What Mathematics Can Tell Us About People

Edition présentée

ISBN 10 :  3030095770 ISBN 13 :  9783030095772
Editeur : Springer, 2019
Couverture souple