2000
DOI: 10.1103/physrevlett.85.3536
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Nonequilibrium Phase Transition in a Model for Social Influence

Abstract: We present extensive numerical simulations of the Axelrod's model for social influence, aimed at understanding the formation of cultural domains. This is a nonequilibrium model with short range interactions and a remarkably rich dynamical behavior. We study the phase diagram of the model and uncover a nonequilibrium phase transition separating an ordered (culturally polarized) phase from a disordered (culturally fragmented) one. The nature of the phase transition can be continuous or discontinuous depending on… Show more

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Cited by 291 publications
(405 citation statements)
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“…A mean-field theory provides an analytical understanding for this interesting phenomenon. Since behavioral inertia is an essential characteristic of human being and animal groups, our work may shed a novel understanding of transition phenomena from disorder to order, like the emergence of consensus and decision-making [44,45], as well as the spontaneous formation of a common language/culture [7,46]. Finally, we expect further investigations of inertial effect in other dynamical systems.…”
mentioning
confidence: 99%
“…A mean-field theory provides an analytical understanding for this interesting phenomenon. Since behavioral inertia is an essential characteristic of human being and animal groups, our work may shed a novel understanding of transition phenomena from disorder to order, like the emergence of consensus and decision-making [44,45], as well as the spontaneous formation of a common language/culture [7,46]. Finally, we expect further investigations of inertial effect in other dynamical systems.…”
mentioning
confidence: 99%
“…Social networks have helped to further understand the structure and evolution of social systems, where people and their acquaintances are represented by the nodes and links of the network respectively. In particular, propagation of information in social systems is easily reproduced in such networks and has been addressed in recent physical literature [5,6,7] due to its importance in epidemiology [8], where information is related to the contagious of diseases, to understand social influence, beliefs and extremism [9,10,11,12], to understand the evolution of financial markets [13], to study econophysical networks underlying e.g., electrical supply systems or road webs among airports or cities. Here we put emphasizes on how far the information can spread when particular constraints, of interest for social systems, are taken into account.…”
Section: Introduction and Modelmentioning
confidence: 99%
“…The interest is now focusing on how such complex topologies affect dynamical processes taking place on them. Models of ordering dynamics play an important role in this context, since they are commonly used to study social phenomena, like cultural assimilation and opinion dynamics [3,4,5,6], for which the interaction patterns are more plausibly described by complex networks than by regular lattices.…”
Section: Introductionmentioning
confidence: 99%