Sociodynamics: a Systematic Approach to Mathematical Modelling in the Social Sciences

By W. Weidlich. 2000

394 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/fd066bfc748a40ea35c5d6fe3cf582a69c1ebcd3

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Citations in the corpus

Stochastic behavioral asset pricing models and the stylized facts (2008, background): “The details of both approaches have been nicely laid out in the monographs by Weidlich and Haag (1983), Aoki (1996) and Weidlich (2002).”
Kinetic models of opinion formation (2006, background): “1 Introduction Microscopic models of both social and political phenomena describing collective behaviors and self–organization in a society have been recently introduced and analyzed by several authors [11, 15, 18, 24, 25, 27, 29].”
Systemic Risks in Society and Economics (2010, neutral): “…the Columbia Committee on Global Thought, see http:// www.columbia.edu/cu/president/docs/communications /2005-2006/051214-committee-global-thought.html [6] W. Weidlich (2000) Sociodynamics: A Systematic Approach to Mathematical Modelling in the Social Sciences Harwood Academic, Amsterdam.”
Boltzmann and Fokker–Planck equations modelling opinion formation in the presence of strong leaders (2009, background): “The first one is a a compromise process (Deffuant et al. 2002; Weidlich 2000), in which individuals tend to reach a compromise after exchange of opinions.”
Colloquium: Statistical mechanics of money, wealth, and income (2009, methodology): “Unlike econophysics, the term “sociophysics” did not catch on when first introduced, but it is coming back with the popularity of econophysics and active support from some physicists (Schweitzer, 2003; Stauffer, 2004; Weidlich, 2000).”
Unity and discord in opinion dynamics (2003, background): “As the initial opinion range increases, the number of such parties undergoes a periodic bifurcation sequence, with alternating major and minor parties.”
Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey (2009, background): “2 have been studied in great detail (Weidlich and Haag, 1983; Aoki, 1996; Weidlich, 2000), this literature has not developed a systematic approach towards estimation of such models.”
Saving Human Lives: What Complexity Science and Information Systems can Contribute (2014, neutral): “Topics addressed range from crowd disasters [4] to crime [5,6], terrorism [7–9], wars [10–12], and the epidemic spreading of diseases [13,14].”
Symbolic Consumption and the Social Construction of Product Characteristics (2010, background): “For a detailed discussion of the relationship between stochastic realizations and the mean process see Weidlich (2000).”
Continuous Opinion Dynamics under Bounded Confidence: A Survey (2007, methodology): “It is a classical tool of statistical physics often called the derivation of a master equation or rate equation which was ﬁrst applied to social systems bei Weidlich (16; 17).”