SZNAJD MODEL AND PROPORTIONAL ELECTIONS: THE ROLE OF THE TOPOLOGY OF THE NETWORK

Author:

VANNUCCHI FABIO STUCCHI1,PRADO CARMEN P. C.1

Affiliation:

1. Instituto de Física, Universidade de São Paulo, Caixa Postal 66318, 05314-970 São Paulo, SP, Brazil

Abstract

The Sznajd model (SM) has been employed with success in the last years to describe opinion propagation in a community. In particular, it has been claimed that its transient is able to reproduce some scale properties observed in data of proportional elections, in different countries, if the community structure (the network) is scale-free. In this work, we investigate the properties of the transient of a particular version of the SM, introduced by Bernardes and co-authors in 2002. We studied the behavior of the model in networks of different topologies through the time evolution of an order parameter known as interface density, and concluded that regular lattices with high dimensionality also leads to a power-law distribution of the number of candidates with v votes. Also, we show that the particular absorbing state achieved in the stationary state (or else, the winner candidate), is related to a particular feature of the model, that may not be realistic in all situations.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A bibliometric analysis and basic model introduction of opinion dynamics;Applied Intelligence;2022-12-10

2. A review on the Sznajd model — 20 years after;Physica A: Statistical Mechanics and its Applications;2021-03

3. A fuzzy rumor spreading model based on transmission capacity;International Journal of Modern Physics C;2018-02

4. Opinion evolution of online consumer reviews in the e-commerce environment;Electronic Commerce Research;2017-04-12

5. An Analysis of Rumor Propagation Based on Event Ambiguity;Advances in Intelligent Systems and Computing;2016-08-24

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