Modeling Indirect Influence on Twitter

作者：Shuai Xin^*; Ding Ying; Busemeyer Jerome; Chen Shanshan; Sun Yuyin; Tang Jie

来源：International Journal on Semantic Web and Information Systems, 2012, 8(4): 20-36.

DOI：10.4018/jswis.2012100102

• Cognitive Informatics
• Complex Contagion
• Information Diffusion
• Quantum Cognition
• Social Computing
• Social Influence
• Twitter

Social influence in social networks has been extensively researched. Most studies 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. The authors' observation of intensity of indirect influence, propagated by n parallel spreaders and quantified by retweeting probability in two Twitter social networks, shows that complex contagion is validated globally but is violated locally. In other words, the retweeting probability increases non-monotonically with some local drops. A quantum cognition based probabilistic model is proposed to account for these local drops.

• 出版日期2012
• 单位清华大学