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Social media is becoming a major and popular technological platform that allows users to express personal opinions toward the subjects with shared interests. Identifying the sentiments of these social media data can help users make informed decisions. Existing research mainly focus on developing algorithms by mining textual information in social media. However, none of them collectively consider the...
There are often enormous interactions among users of online social networking services. Based on their interactions and the corresponding contents, the users can be clustered into different interaction groups with different interests. In this paper, we propose a game-theoretic approach for formulating the dynamics of users' participation into interaction groups on a social network formed by users'...
The rapid development of online social networks (OSN) renders them a powerful tool for information diffusion. Understanding the temporal behavior of OSN users is critical in studying the diffusion process. While there is much work on building various diffusion models to characterize the information propagation process, the diversity of OSN users' behavior patterns is seldom addressed in these models...
Online social networks have become popular for communication among people. Previous works on social networks were focused mainly on a single network due to the lack of links from one network to the others. There are several ways to connect different social networks. One possible solution is to find out the same individual who owns accounts for different social networks simultaneously. In this paper,...
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