How can spreaders affect the indirect infuence on twitter?

Authors:
Xin Shuai;Ying Ding;Jerome Busemeyer
Affiliations:
School of Informatics and Computing, Indiana University, Bloomington, IN, USA;School of Library and Information Science, Indiana University, Bloomington, IN, USA;Dept. of Psychological and Brain Science, Indiana University, Bloomington, IN, USA
Venue:
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Year:
2012

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Abstract

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 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.