Literature DB >> 17279969

Nonequilibrium phase transition in the coevolution of networks and opinions.

Petter Holme1, M E J Newman.   

Abstract

Models of the convergence of opinion in social systems have been the subject of considerable recent attention in the physics literature. These models divide into two classes, those in which individuals form their beliefs based on the opinions of their neighbors in a social network of personal acquaintances, and those in which, conversely, network connections form between individuals of similar beliefs. While both of these processes can give rise to realistic levels of agreement between acquaintances, practical experience suggests that opinion formation in the real world is not a result of one process or the other, but a combination of the two. Here we present a simple model of this combination, with a single parameter controlling the balance of the two processes. We find that the model undergoes a continuous phase transition as this parameter is varied, from a regime in which opinions are arbitrarily diverse to one in which most individuals hold the same opinion.

Year:  2006        PMID: 17279969     DOI: 10.1103/PhysRevE.74.056108

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  49 in total

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6.  Recruitment dynamics in adaptive social networks.

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7.  Transitivity reinforcement in the coevolving voter model.

Authors:  Nishant Malik; Feng Shi; Hsuan-Wei Lee; Peter J Mucha
Journal:  Chaos       Date:  2016-12       Impact factor: 3.642

8.  Multiopinion coevolving voter model with infinitely many phase transitions.

Authors:  Feng Shi; Peter J Mucha; Richard Durrett
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-12-30

9.  Social Space Diffusion: Applications of a Latent Space Model to Diffusion with Uncertain Ties.

Authors:  Jacob C Fisher
Journal:  Sociol Methodol       Date:  2019-02-05

10.  Exit, cohesion, and consensus: social psychological moderators of consensus among adolescent peer groups.

Authors:  Jacob C Fisher
Journal:  Soc Curr       Date:  2017-05-04
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