文章基本信息

标题：Threshold-limited spreading in social networks with multiple initiators
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作者：P. Singh ; S. Sreenivasan ; B. K. Szymanski 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2013
卷号：3
期号：1
DOI：10.1038/srep02330
语种：English
出版社：Springer Nature
摘要：A classical model for social-influence-driven opinion change is the threshold model. Here we study cascades of opinion change driven by threshold model dynamics in the case where multiple initiators trigger the cascade, and where all nodes possess the same adoption threshold ϕ . Specifically, using empirical and stylized models of social networks, we study cascade size as a function of the initiator fraction p . We find that even for arbitrarily high value of ϕ , there exists a critical initiator fraction p_c ( ϕ ) beyond which the cascade becomes global. Network structure, in particular clustering, plays a significant role in this scenario. Similarly to the case of single-node or single-clique initiators studied previously, we observe that community structure within the network facilitates opinion spread to a larger extent than a homogeneous random network. Finally, we study the efficacy of different initiator selection strategies on the size of the cascade and the cascade window.