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arXiv cond-mat/0405083cond-mat.stat-mechcond-mat.dis-nn
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无标度网络上的损害传播与观点动力学

Damage Spreading and Opinion Dynamics on Scale Free Networks

Santo Fortunato

摘要:

我们研究了损害传播的意见,一个系统的代理商,受到动态的克劳斯-Hegselmann共识模型。损害在于一个或多个代理人在初始随机意见配置中的意见的急剧变化,据推测是由于一些外部因素和/或事件。例如,这可能有助于了解在何种情况下特别令人震惊的事件或有针对性的宣传能够影响选举结果。对于位于Barabasi-Albert网络节点上的智能体,在置信界限参数的低值处存在损伤扩散转移。有趣的是,我们发现,以及有一些临界值的初始扰动的管理,以传播到所有其他代理人。

英文摘要:

We study damage spreading among the opinions of a system of agents, subjected to the dynamics of the Krause-Hegselmann consensus model. The damage consists in a sharp change of the opinion of one or more agents in the initial random opinion configuration, supposedly due to some external factors and/or events. This may help to understand for instance under which conditions special shocking events or targeted propaganda are able to influence the results of elections. For agents lying on the nodes of a Barabasi-Albert network, there is a damage spreading transition at a low value epsilon_d of the confidence bound parameter. Interestingly, we find as well that there is some critical value epsilon_s above which the initial perturbation manages to propagate to all other agents.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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