Effects of heterogeneous convergence rate on consensus in opinion dynamics

Effects of heterogeneous convergence rate on consensus in opinion dynamics
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异质收敛率对舆论动态共识的影响

DOI:
10.1016/j.physa.2018.02.026
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发表时间:
2018-06
期刊:
Physica A
影响因子:
--
通讯作者:
Haihong Li
Haihong Li
中科院分区:
其他
文献类型:
--
作者:
Changwei Huang;Qionglin Dai;Wenchen Han;Yuee Feng;Hongyan Cheng;Haihong Li

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The Deffuant model has attracted much attention in the study of opinion dynamics. Here, we propose a modified version by introducing into the model a heterogeneous convergence rate which is dependent on the opinion difference between interacting agents and a tunable parameter κ. We study the effects of heterogeneous convergence rate on consensus by investigating the probability of complete consensus, the size of the largest opinion cluster, the number of opinion clusters, and the relaxation time. We find that the decrease of the convergence rate is favorable to decreasing the confidence threshold for the population to always reach complete consensus, and there exists optimal κ resulting in the minimal bounded confidence threshold. Moreover, we find that there exists a window before the threshold of confidence in which complete consensus may be reached with a nonzero probability when κ is not too large. We also find that, within a certain confidence range, decreasing the convergence rate will reduce the relaxation time, which is somewhat counterintuitive.
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