An Efficient Critical Incident Propagation Model for Social Networks Based on Trust Factor.

Studying patterns of social behavior among users based on micro blogs, QQ posts, and comments is essential to understanding the information propagation process during critical incidents. A common problem of information propagation models based on epidemic dynamics is that they regard the probability of information being propagated successfully across different nodes as a constant. But in real-world scenarios, infection probability varies depending on the trust relationship between people. In this paper, a novel information propagation model for critical incidents is proposed that takes into account the trust factor based on information propagation theory.