2017
DOI: 10.1155/2017/3548591
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Self-Organized Societies: On the Sakoda Model of Social Interactions

Abstract: We characterize the behavior and the social structures appearing from a model of general social interaction proposed by Sakoda. The model consists of two interacting populations in a two-dimensional periodic lattice with empty sites. It contemplates a set of simple rules that combine attitudes, ranges of interactions, and movement decisions. We analyze the evolution of the 45 different interaction rules via a Potts-like energy function which drives the system irreversibly to an equilibrium or a steady state. W… Show more

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Cited by 13 publications
(17 citation statements)
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“…The majority rule model [24,25] has been applied in the analysis of complex systems in fields such as biology (neural networks) [26], physics (spin glass model) [27], and social sciences (voting problems) [28][29][30][31]. The novelty in our case consists in studying more than one level decision rule (two in our article) in a social domain.…”
Section: Introductionmentioning
confidence: 99%
“…The majority rule model [24,25] has been applied in the analysis of complex systems in fields such as biology (neural networks) [26], physics (spin glass model) [27], and social sciences (voting problems) [28][29][30][31]. The novelty in our case consists in studying more than one level decision rule (two in our article) in a social domain.…”
Section: Introductionmentioning
confidence: 99%
“…While Schelling’s contribution was successful, Sakoda’s contribution was rather forgotten 14 . However, first, the underlying richness of the Sakoda model offers more analytical options than just the dynamics of segregation, thereby opening possibilities to identify new social structures arising from interaction, as recently done by Medina et al 15 . Second, Sakoda’s aim of connecting psychology’s interest in micro phenomena and sociology’s focus on macro levels corresponds with a key distinction in sociological analysis, that between agency and structure, and subsequently, with the discussion whether agency or structure should be the point of departure for theory building 16 .…”
Section: Introductionmentioning
confidence: 99%
“…The method of complex network is paid more and more attention in the research of financial risk contagion in recent years. The financial risk contagion system is a self-organized social system [18]. Complex networks can visually describe the complex relationship between credit risk individuals and can effectively analyze endogenous and exogenous factors that affect risk transmission [19,20].…”
Section: Introductionmentioning
confidence: 99%