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Opinion dynamics with similarity-based random neighbors.

Abstract：

:A typical assumption made in the existing opinion formation models is that two individuals can communicate with each other only if the distance between their opinions is less than a threshold called bound of confidence. However, in the real world it is quite possible that people may also have a few friends with quite different opinions. To model this situation, we propose a bounded confidence plus random selection model, in which each agent has several long-range neighbors outside the bound who are selected according to a similarity-based probability rule. We find that the opinions of all agents can reach a consensus in bounded time. We further consider the situation when agents ignore the bound of confidence and select all their neighbors randomly according to the similarity-based probability rule. We prove that in this scenario the whole group could also reach a consensus but in the probability sense.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Liu Q,Wang X

doi

10.1038/srep02968

subject

Has Abstract

pub_date

2013-10-17 00:00:00

pages

2968

issn

2045-2322

pii

srep02968

journal_volume

3

pub_type

杂志文章

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