The mobile social network (MSN) combines techniques in social science and wireless communications for mobile networking. The MSN can be considered as a system which provides a variety of data delivery services involving the social relationship among mobile users. Information diffusion in mobile social networks provides great opportunities for the spread of positive information such as innovations and negative information propagation like malicious rumors. Therefore understanding information diffusion in mobile social networks is a critical research goal. In this paper, we provide an overview of the recent research in information diffusion area including a wide variety of techniques such as optimization algorithms, data mining, data streams covering a large number of problems such as influence spread maximization, negative information limitation, and study of trends in mobile social networks.
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