Quantitative Sociodynamics

Stochastic Methods and Models of Social Interaction Processes

  • DirkĀ Helbing

Table of contents

  1. Front Matter
    Pages i-xxix
  2. Stochastic Methods and Non-linear Dynamics

    1. Front Matter
      Pages 47-48
    2. Dirk Helbing
      Pages 1-15
    3. Dirk Helbing
      Pages 17-45
  3. Stochastic Methods and Non-linear Dynamics

    1. Front Matter
      Pages 47-48
    2. Dirk Helbing
      Pages 49-81
    3. Dirk Helbing
      Pages 83-98
    4. Dirk Helbing
      Pages 99-113
    5. Dirk Helbing
      Pages 115-133
    6. Dirk Helbing
      Pages 135-149
  4. Quantitative Models of Social Processes

    1. Front Matter
      Pages 151-152
    2. Dirk Helbing
      Pages 153-165
    3. Dirk Helbing
      Pages 187-223
    4. Dirk Helbing
      Pages 225-245
    5. Dirk Helbing
      Pages 247-274
  5. Back Matter
    Pages 311-333

About this book


This new edition of Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative description of behavioral 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 and mathematics, but they have very often proven their explanatory power in chemistry, biology, economics and the social sciences as well. Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic methods, their interrelations and properties. In addition, it introduces important concepts from nonlinear dynamics (e.g. synergetics, chaos theory). The applicability of these fascinating concepts to social phenomena is carefully discussed. By incorporating decision-theoretical approaches, a fundamental dynamic model is obtained, which opens 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, evolutionary game theory and social field theory. Moreover, it implies numerous new results and is relevant for various application areas, such as opinion formation, migration, the self-organization of behavioral conventions, and the behavior of customers and voters. Theoretical results are complemented and illustrated by numerous 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. 


Boltzmann Equation Social Sciences Book Quantitative Sociodynamics Evolutionary Game Theory Fokker Planck Equation Langevin Equation Social Science Master Equation Social Sciences Mathematical Modelling Social Sciences Modelling Social Structures;

Authors and affiliations

  • DirkĀ Helbing
    • 1
  1. 1.Chair of Sociology, in particular of Mod, CLU E 1ETH Zurich, Swiss Federal Institute of TZurichSwitzerland

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