多个传播者影响对Twitter的间接影响
Multiple spreaders affect the indirect influence on Twitter
摘要：
大多数关于社会影响力的研究都集中在直接影响力上，而另一个有趣的问题是，在网络中没有直接联系的两个用户之间是否存在间接影响力，以及是什么影响了这种影响力。此外，\emph{complex contagion}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。我们观察到的间接影响的强度，传播的$n$平行的传播者和量化的转发概率在Twitter上，表明复杂的传染是全球性的，但违反了局部。换句话说，转发概率随着一些局部下降而非单调地增加。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
