Quantitative Sociodynamics
Stochastic Methods and Models of Social Interaction Processes
(Sprache: Englisch)
Updated and revised, 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.
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Updated and revised, 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.
Klappentext zu „Quantitative Sociodynamics “
When I wrote the book Quantitative Sociodynamics, it was an early attempt to make methods from statistical physics and complex systems theory fruitful for the modeling and understanding of social phenomena. Unfortunately, the ?rst edition appeared at a quite prohibitive price. This was one reason to make these chapters available again by a new edition. The other reason is that, in the meantime, many of the methods discussed in this book are more and more used in a variety of different ?elds. Among the ideas worked out in this book are: 1 . a statistical theory of binary social interactions, . a mathematical formulation of social ?eld theory, which is the basis of social 2 force models, . a microscopic foundation of evolutionary game theory, based on what is known today as 'proportional imitation rule', a stochastic treatment of interactions in evolutionary game theory, and a model for the self-organization of behavioral 3 conventions in a coordination game. It, therefore, appeared reasonable to make this book available again, but at a more affordable price. To keep its original character, the translation of this book, which 1 D. Helbing, Interrelations between stochastic equations for systems with pair interactions. Ph- icaA 181, 29-52 (1992); D. Helbing, Boltzmann-like and Boltzmann-Fokker-Planck equations as a foundation of behavioral models. PhysicaA 196, 546-573 (1993). 2 D. Helbing, Boltzmann-like and Boltzmann-Fokker-Planck equations as a foundation of beh- ioral models. PhysicaA 196, 546-573 (1993); D.
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 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 behavioral conventions as well as the behavior of customers and voters are presented and illustrated by computer simulations. This new edition adds chapters on Dynamic Decision Behavior, Optimal Self-Organization, Self-Organization in Space and Induced by Fluctuations, Drift- or Fluctuation-Induced Ordering and Self-Organization in Driven Many Particle Systems, Pattern Formation, Social Forces and Diffusion Instability in Games with Success-Driven Motion. 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.
Inhaltsverzeichnis zu „Quantitative Sociodynamics “
- Introduction and Summary- Stochastic Methods and Non-Linear Dynamics: Master Equation in State Space
- Boltzmann-Like Equations
- Master Equation in Configuration Space
- The Fokker-Planck Equation
- Langevin Equations and Non-Linear Dynamics
- Quantitative Models of Social Processes: Problems and Terminology
- Decision Theoretical Specification of the Transition Rates
- Opinion Formation Models
- Social Fields and Social Forces
- Evolutionary Game Theory
- Determination of the Model Parameters from Empirical Data
- Dynamic Decision Behavior
- Optimal Self-Organization
- Self Organization in Space and Induced by Fluctuations
- Drift- or Fluctuation-Induced Ordering and Self-Organization in Driven Many
- Particle Systems
- Pattern Formation, Social Forces and Diffusion Instability in Games with Success-Driven Motion
- The outbreak of cooperation in a nasty world
- List of Symbols
- Index
Autoren-Porträt von Dirk Helbing
Dirk Helbing, ETH Zürich Chair of Sociology Dept., Theoretical physicist, Worldwide leading scientist in computational social sciences and econophysics/complexity research.
Bibliographische Angaben
- Autor: Dirk Helbing
- 2010, 2nd ed., 333 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3642115454
- ISBN-13: 9783642115455
- Erscheinungsdatum: 16.11.2010
Sprache:
Englisch
Rezension zu „Quantitative Sociodynamics “
From the reviews:"This ambitious volume aims to provide a comprehensive account of mathematical methods for the quantitative study of social processes, with a focus on stochastic methods. ... To summarise, as an introduction to such mathematics, it is admirably comprehensive and goes through the various derivations in a careful step-by-step manner. ... an excellent reference for those with some mathematical expertise in the area to refer to. For those who straddle the simulation and mathematical communities it could be very useful." (Bruce Edmonds and Mario Paolucci, Journal of Artificial Societies and Social Simulation, April, 2012)
Pressezitat
From the reviews:"This ambitious volume aims to provide a comprehensive account of mathematical methods for the quantitative study of social processes, with a focus on stochastic methods. ... To summarise, as an introduction to such mathematics, it is admirably comprehensive and goes through the various derivations in a careful step-by-step manner. ... an excellent reference for those with some mathematical expertise in the area to refer to. For those who straddle the simulation and mathematical communities it could be very useful." (Bruce Edmonds and Mario Paolucci, Journal of Artificial Societies and Social Simulation, April, 2012)
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