Opinion evolution in closed community

By Katarzyna Sznajd-Weron, J. Sznajd. 2000

1,392 citations recorded by the source corpus.

A simple Ising spin model which can describe a mechanism of making a decision in a closed community is proposed. It is shown via standard Monte Carlo simulations that very simple rules lead to rather complicated dynamics and to a power law in the decision time distribution. It is found that a closed community has to evolve either to a dictatorship or a stalemate state (inability to take any common decision). A common decision can be taken in a "democratic way" only by an open community.

Subfields: Condensed Matter Physics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/4302d4badd3a3b21d822fbeed1339e64fd9a01dd

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In Condensed Matter Physics

In Statistical and Nonlinear Physics

Citations in the corpus

Cognitive perspectives on opinion dynamics: the role of knowledge in consensus formation, opinion divergence, and group polarization (2017, methodology): “, [2]) closely match physical models of electric charge, but may be too impoverished to provide a compelling account of human attitudes or opinions.”
Social Influence and the Collective Dynamics of Opinion Formation (2013, neutral): “majority [27], or more sophisticated equations [8,22].”
On the control through leadership of the Hegselmann–Krause opinion formation model (2015, background): “In particular, one of the most representative class of agent-based models explaining phenomena in social sciences are the opinion formation models; see the seminal papers [4, 16, 22, 32] and, for further developments on these models, see Refs.”
Models of Social Influence: Towards the Next Frontiers (2017, background): “A later generation of modelers assumed instead that opinions do not vary on a continuous scale, but model the choice between distinct options, like a person’s favorite political party, music band, or movie genre (Axelrod 1997; Latané & L’Herrou 1996; Liggett 1985; Sznajd-Weron & Sznajd 2000).”
Kinetic models of opinion formation (2006, methodology): “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].”
Modelling dynamical processes in complex socio-technical systems (2011, background): “A first class of models is represented by behavioural models where the attributes of agents are binary variables similar to Ising spins, as in the case of the voter model 13 , the majority-rule model 14,15 and the Sznajd model 16 .”
CONTINUOUS OPINIONS AND DISCRETE ACTIONS IN OPINION DYNAMICS PROBLEMS (2007, methodology): “4 Sznajd Model The CODA model was also applied to the Sznajd interaction rules [6, 7, 8].”
Random walks and diffusion on networks (2016, neutral): “[392, 406–409].”