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Extremism Propagation in Social Networks with Hubs

机译:集线器在社交网络中的极端主义传播

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One aspect of opinion change that has been of academic interest is the impact of people with extreme opinions (extremists) on opinion dynamics. An agent-based model has been used to study the role of small-world social network topologies on general opinion change in the presence of extremists. It has been found that opinion convergence to a single extreme occurs only when the average number of network connections for each individual is extremely high. Here, we extend the model to examine the effect of positively skewed degree distributions, in addition to small-world structures, on the types of opinion convergence that occur in the presence of extremists. We also examine what happens when extremist opinions are located on the well-connected nodes (hubs) created by the positively skewed distribution. We find that a positively skewed network topology encourages opinion convergence on a single extreme under a wider range of conditions than topologies whose degree distributions were not skewed. The importance of social position for social influence is highlighted by the result that, when positive extre'mists are placed on hubs, all population convergence is to the positive extreme even when there are twice as many negative extremists. Thus, our results have shown the importance of considering a positively skewed degree distribution, and in particular network hubs and social position, when examining extremist transmission.
机译:学术界关注的观点变化的一方面是具有极端观点的人(极端主义者)对观点动态的影响。基于代理的模型已用于研究小世界社交网络拓扑在极端主义者在场的情况下对民意变化的作用。已经发现,只有当每个人的平均网络连接数非常高时,才将观点收敛到一个极端。在这里,我们扩展了模型,以检验除小世界结构外,正偏度分布对存在极端主义者的观点趋同类型的影响。我们还研究了当极端主义意见位于由正偏分布创建的连接良好的节点(集线器)上时发生的情况。我们发现,与度分布不偏斜的拓扑相比,正偏斜的网络拓扑鼓励在更广范围的条件下在单个极端上进行意见收敛。结果表明,社会地位对社会影响力的重要性,即当将积极极端主义者置于中心地带时,即使消极极端主义者的数量是两倍,所有人口的融合也将达到积极的极端。因此,我们的结果表明,在检查极端主义传播时,考虑正偏度分布,尤其是网络中心和社会地位的重要性。

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