论文标题

关于社交媒体建议对意见共识的影响

On the Impact of Social Media Recommendations on Opinion Consensus

论文作者

Auletta, Vincenzo, Coppola, Antonio, Ferraioli, Diodato

论文摘要

我们考虑了一个离散的意见形成问题,在代理商受其社会关系传播的信息以及直接从社交媒体经理收到的建议中的信息影响的环境中。我们研究社交媒体影响的“力量”如何影响达成共识的药物的可能性,以及这些因素如何决定达成共识的类型。在一个简单的2对称块模型中,我们证明了代理会收敛到共识或持续分歧。特别是,我们表明,当同质比率很大时,社交媒体的确定能力的能力很低。另一方面,当同质比率较低时,社交媒体的影响可以通过使他们更难达成共识或以极端意见诱导它来对动态发挥重要作用。最后,为了将我们的分析扩展到更一般和现实的设置,我们提供了一些实验证据,即我们的结果仍然存在于一般网络上。

We consider a discrete opinion formation problem in a setting where agents are influenced by both information diffused by their social relations and from recommendations received directly from the social media manager. We study how the "strength" of the influence of the social media and the homophily ratio affect the probability of the agents of reaching a consensus and how these factors can determine the type of consensus reached. In a simple 2-symmetric block model we prove that agents converge either to a consensus or to a persistent disagreement. In particular, we show that when the homophily ratio is large, the social media has a very low capacity of determining the outcome of the opinion dynamics. On the other hand, when the homophily ratio is low, the social media influence can have an important role on the dynamics, either by making harder to reach a consensus or inducing it on extreme opinions. Finally, in order to extend our analysis to more general and realistic settings we give some experimental evidences that our results still hold on general networks.

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