J
Jozef Sznajd
Researcher at Polish Academy of Sciences
Publications - 53
Citations - 2643
Jozef Sznajd is an academic researcher from Polish Academy of Sciences. The author has contributed to research in topics: Phase transition & Renormalization group. The author has an hindex of 9, co-authored 50 publications receiving 2429 citations.
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Opinion evolution in closed community
TL;DR: In this paper, a simple Ising spin model is proposed to describe a mechanism of making a decision in a closed community and 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.
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Opinion evolution in closed community
Abstract: 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.
Journal ArticleDOI
Opinion evolution in closed community
TL;DR: In this article, a simple Ising spin model is proposed to describe a mechanism of making a decision in a closed community and 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.
Journal ArticleDOI
Who is left, who is right?
TL;DR: In this paper, the authors propose a model to simulate the process of opinion formation in a society where the traditional division into leftists and rightists is not enough any longer, based on the Ashkin-Teller idea to assign two Ising spins to each site (agent).
Posted Content
Opinion evolution in closed community
TL;DR: A simple Ising spin model which can describe a mechanism of making a decision in a closed community is proposed and 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.