The development of social networks such as Twitter, Facebook, Sina weibo etc, online information sharing is becoming ubiquitous every day. Spreading information through social networks includes both positive and negative sides. Rumor propagation is a major problem in large scale social networks such as twitter, Chinese weibo. Propagating positive information may produce better result such as new ideas, innovations and recent research topics. On the other side propagating negative information may create chaos among the crowd. Malicious rumors could serious issue in society; hence it needs to be blocked after being detected. Most of the previous research focused on influence maximization. In contrast this work focuses on minimizing the propagation of malicious rumor by blocking of certain nodes. This paper includes the basics of rumor influence minimization and some methods to minimize the rumor influence.

Greedy, dynamic blocking, Survival theory, User experience

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