Quantitative Sociodynamics

Stochastic Methods and Models of Social Interaction Processes

  • DirkĀ Helbing

Part of the Theory and Decision Library book series (TDLB, volume 31)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Introduction and Summary

    1. Dirk Helbing
      Pages 1-16
  3. Stochastic Methods and Non-Linear Dynamics

    1. Dirk Helbing
      Pages 21-52
    2. Dirk Helbing
      Pages 53-67
    3. Dirk Helbing
      Pages 69-82
    4. Dirk Helbing
      Pages 83-101
    5. Dirk Helbing
      Pages 103-118
  4. Quantitative Models of Social Processes

    1. Dirk Helbing
      Pages 123-136
    2. Dirk Helbing
      Pages 159-201
    3. Dirk Helbing
      Pages 203-225
    4. Dirk Helbing
      Pages 227-254
  5. Back Matter
    Pages 291-339

About this book

Introduction

Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative description of behavioural changes based on social interaction processes. Originally, the crucial methods for the modeling of complex systems (stochastic methods and nonlinear dynamics) were developed in physics but they have very often proved their explanatory power in chemistry, biology, economics and the social sciences.
Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic methods, their interrelations and properties. In addition, it introduces the most important concepts from nonlinear dynamics (synergetics, chaos theory). The applicability of these fascinating concepts to social phenomena is carefully discussed. By incorporating decision-theoretical approaches a very fundamental dynamic model is obtained which seems to open new perspectives in the social sciences. It includes many established models as special cases, e.g. the logistic equation, the gravity model, some diffusion models, the evolutionary game theory and the social field theory, but it also implies numerous new results. Examples concerning opinion formation, migration, social field theory; the self-organization of behavioural conventions as well as the behaviour of customers and voters are presented and illustrated by computer simulations.
Quantitative Sociodynamics is relevant both for social scientists and natural scientists who are interested in the application of stochastic and synergetics concepts to interdisciplinary topics.

Keywords

Simulation chaos theory game theory master equation modeling nonlinear dynamics

Authors and affiliations

  • DirkĀ Helbing
    • 1
  1. 1.II. Institute of Theoretical PhysicsStuttgartUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-8516-3
  • Copyright Information Springer Science+Business Media B.V. 1995
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4482-2
  • Online ISBN 978-94-015-8516-3
  • About this book
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