标题： 多个传播者影响Twitter的间接影响 显示英文标题

标题： Multiple spreaders affect the indirect influence on Twitter

摘要： 大多数关于社会影响的研究都集中在直接影响上，而另一个有趣的问题可以被提出，即两个在网络中没有直接连接的用户之间是否存在间接影响，以及什么因素会影响这种影响。 此外，\emph{复杂传染}理论告诉我们，更多的传播者会增强两个用户之间的间接影响。 我们对由$n$并行传播者传播的间接影响强度的观察，并通过 Twitter 上的转发概率进行量化，表明复杂传染在全球范围内得到了验证，但在局部却遭到违反。 换句话说，转发概率随着某些局部下降而非单调地增加。 显示英文摘要

摘要： Most studies on social influence have focused on direct influence, while another interesting question can be raised as whether indirect influence exists between two users who're not directly connected in the network and what affects such influence. In addition, the theory of \emph{complex contagion} tells us that more spreaders will enhance the indirect influence between two users. Our observation of intensity of indirect influence, propagated by $n$ parallel spreaders and quantified by retweeting probability on Twitter, shows that complex contagion is validated globally but is violated locally. In other words, the retweeting probability increases non-monotonically with some local drops.