Dataset Information

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.

SUBMITTER: Liu Q

PROVIDER: S-EPMC3797989 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

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Publications

Opinion dynamics with similarity-based random neighbors.

Liu Qipeng Q Wang Xiaofan X

Scientific reports 20131017

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 ...[more]

PMID: 24132250

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Dataset Information

Opinion dynamics with similarity-based random neighbors.

Publications

Opinion dynamics with similarity-based random neighbors.

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