Yini Zhang

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In this paper, we propose models to characterize diffusion dynamics in structured online social networks with push-based forwarding mechanism. We introduce the term user influence to characterize the average number of times that messages are browsed which is incurred by a given type user generating a message, and then propose a theoretical analysis approach(More)
In this paper, we propose models to characterize the process of opinion spreading in signed social networks under the impact of structure balance. We classify users into different types according to their positive link numbers, and define the term user influence to characterize the average number of times that users are influenced, which is incurred by a(More)
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