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意见动态中的不对称逆向者

Asymmetric Contrarians in Opinion Dynamics.

作者信息

Galam Serge, Cheon Taksu

机构信息

CEVIPOF-Centre for Political Research, Sciences Po and CNRS, 98 rue de l'Université, 75007 Paris, France.

Laboratory of Physics, Kochi University of Technology, Tosa Yamada, Kochi 782-8502, Japan.

出版信息

Entropy (Basel). 2019 Dec 24;22(1):25. doi: 10.3390/e22010025.

DOI:10.3390/e22010025
PMID:33285800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516446/
Abstract

Asymmetry in contrarian behavior is investigated within the Galam model of opinion dynamics using update groups of size 3 with two competing opinions A and B. Denoting and the respective proportions of A and B contrarians, four schemes of implementations are studied. The first scheme activates contrarians after each series of updates with probabilities and for agents holding respectively opinion A and B. Second scheme activates contrarians within the update groups only against global majority with probability when A is the majority and when B is the majority. The third scheme considers in-group contrarians acting prior to the local majority update against both local majority and minority opinions. The last scheme activates in-group contrarians prior to the local majority update but only against the local majority. The main result is the loss of the fifty-fifty attractor produced by symmetric contrarians. Producing a bit less contrarians on its own side than the other side becomes the key to win a public debate, which in turn can guarantee an election victory. The associated phase diagram of opinion dynamics is found to exhibit a rich variety of counterintuitive results.

摘要

在意见动态的加拉姆模型中,使用大小为3的更新组,其中有两种相互竞争的意见A和B,研究了反向行为中的不对称性。用(p_A)和(p_B)分别表示持有意见A和B的反向者的各自比例,研究了四种实施方案。第一种方案在每次更新系列后,以概率(p_A)和(p_B)分别激活持有意见A和B的反向者。第二种方案仅在更新组内,当A是多数时,以概率(p_A)针对全局多数激活反向者;当B是多数时,以概率(p_B)激活反向者。第三种方案考虑组内反向者在局部多数更新之前,针对局部多数和少数意见采取行动。最后一种方案在局部多数更新之前激活组内反向者,但仅针对局部多数。主要结果是对称反向者产生的五五吸引子的丧失。在自己一方产生比另一方略少的反向者成为赢得公开辩论的关键,这反过来又可以保证选举胜利。发现相关的意见动态相图呈现出丰富多样的反直觉结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/5b0b6c8ab4cf/entropy-22-00025-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/0f529d3adcc6/entropy-22-00025-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/97d4b1da9ca0/entropy-22-00025-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/0f4127f03149/entropy-22-00025-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/5b0b6c8ab4cf/entropy-22-00025-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/622f17c0fba0/entropy-22-00025-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/536462cf1554/entropy-22-00025-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/042b14f19972/entropy-22-00025-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/74524826800c/entropy-22-00025-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/b187c001f089/entropy-22-00025-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/c42837e9176e/entropy-22-00025-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/4726aa248be9/entropy-22-00025-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/0f529d3adcc6/entropy-22-00025-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/97d4b1da9ca0/entropy-22-00025-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/0f4127f03149/entropy-22-00025-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/cd1fe29e5adf/entropy-22-00025-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/9e2b2ba0be00/entropy-22-00025-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a4/7516446/5b0b6c8ab4cf/entropy-22-00025-g013.jpg

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