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Local cascades induced global contagion: How heterogeneous thresholds exogenous effects and unconcerned behaviour govern online adoption spreading

机译:局部级联引发全球传染:异质阈值外源效应和无关行为如何控制在线采用传播

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摘要

Adoption of innovations, products or online services is commonly interpreted as a spreading process driven to large extent by social influence and conditioned by the needs and capacities of individuals. To model this process one usually introduces behavioural threshold mechanisms, which can give rise to the evolution of global cascades if the system satisfies a set of conditions. However, these models do not address temporal aspects of the emerging cascades, which in real systems may evolve through various pathways ranging from slow to rapid patterns. Here we fill this gap through the analysis and modelling of product adoption in the world’s largest voice over internet service, the social network of Skype. We provide empirical evidence about the heterogeneous distribution of fractional behavioural thresholds, which appears to be independent of the degree of adopting egos. We show that the structure of real-world adoption clusters is radically different from previous theoretical expectations, since vulnerable adoptions—induced by a single adopting neighbour—appear to be important only locally, while spontaneous adopters arriving at a constant rate and the involvement of unconcerned individuals govern the global emergence of social spreading.
机译:人们通常将创新,产品或在线服务的采用解释为一种传播过程,在很大程度上受社会影响力驱动,并受个人需求和能力的制约。为了对此过程进行建模,通常会引入行为阈值机制,如果系统满足一组条件,则可以引发全局级联的演化。但是,这些模型没有解决新兴级联的时间方面的问题,而这些级联在实际系统中可能会通过从慢速到快速模式的各种途径演变。在这里,我们通过对全球最大的Internet语音服务Skype社交网络中的产品采用情况进行分析和建模来填补这一空白。我们提供有关分数行为阈值的异质分布的经验证据,该分布似乎与采用自我的程度无关。我们表明,现实世界中的收养群的结构与先前的理论预期完全不同,因为脆弱的收养(由一个收养邻居造成的收养)似乎仅在本地很重要,而自发收养者却以恒定的速度到达而不受关注个人控制着社会传播的全球兴起。

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