Generalized Gelation Theory Describes Onset of Online Extremist Support
Generalized Gelation Theory Describes Onset of Online Extremist Support
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DOI：
10.1103/physrevlett.121.048301
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发表时间：
2018-07-27
影响因子：
8.6
通讯作者：
Johnson, Neil F.
中科院分区：
文献类型：
--
作者：
Manrique, Pedro D.;Zheng, Minzhang;Johnson, Neil F.
我们引入了一种广义的凝胶化理论，它包含了个体的异质性，并表明它可以解释2014年后全球出现的支持ISIS(所谓的伊斯兰国)的在线极端组织的异步、突然出现和增长。该理论预测了异质性如何影响他们的发病时间和增长概况，并表明在线极端组织呈现出以同质性为中心的异质性依赖的聚集机制的广泛分布。这一理论与经验数据之间的良好一致性表明，现有旨在击败网络极端主义的战略是错误的，这些战略的假设是，网络极端主义是由几个“坏苹果”驱动的。更广泛地说，这一广义理论应该适用于以异类对象之间聚合为特征的一系列真实世界系统。
We introduce a generalized form of gelation theory that incorporates individual heterogeneity and show that it can explain the asynchronous, sudden appearance and growth of online extremist groups supporting ISIS (so-called Islamic State) that emerged globally post-2014. The theory predicts how heterogeneity impacts their onset times and growth profiles and suggests that online extremist groups present a broad distribution of heterogeneity-dependent aggregation mechanisms centered around homophily. The good agreement between the theory and empirical data suggests that existing strategies aiming to defeat online extremism under the assumption that it is driven by a few "bad apples" are misguided. More generally, this generalized theory should apply to a range of real-world systems featuring aggregation among heterogeneous objects.