Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes
Autor Dirk Helbingen Limba Engleză Paperback – 8 noi 2014
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Specificații
ISBN-13: 9783642424021
ISBN-10: 3642424023
Pagini: 364
Ilustrații: XXIX, 333 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:2nd ed. 2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642424023
Pagini: 364
Ilustrații: XXIX, 333 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:2nd ed. 2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
and Summary.- Dynamic Decision Behavior.- 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 Game theory!evolutionary|bb .- Determination of the Model Parameters from Empirical Data Empirical experience|bb .
Recenzii
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)
“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)
Textul de pe ultima copertă
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.
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.
Caracteristici
Unified and comprehensive overview of stochastic methods to describe quantitatively behavioral changes based on social interaction processes. Presents numerous applications of the theoretical concepts. New 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.