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The popularity of social media has led many users to create accounts with different online social networks. Identifying these multiple accounts belonging to same user is of critical importance to user profiling, community detection, user behavior understanding and product recommendation. Nevertheless, linking users across heterogeneous social networks is challenging due to large network sizes, heterogeneous...
Opinion leaders' researches from Communication suggested that the elites can lead the masses. But other evidence argued the discourse power of masses has been improved with the rising of masses, especially in the We-media era, which challenges the view that the masses will follow the elites blindly. We examined the relationship between elites and masses by focusing on their emotion relationship and...
With the rapid growth of social network such as Twitter and SinaWeibo, more and more applications are designed for users to manage and serve for their social network platform. In this paper, we focus on the problem of summarization of timelines, which is useful for filtering out replicated posts and organizing posts in a more structured way. The content of short text is combined with social network...
As an important kind of social media, microblog has become an important source of opinion mining and collective behavior study. However, social spams may affect the analytical results greatly. This paper focuses on the problem of identifying potential social spammers who copy pieces of information from others. An improved locality-sensitive hashing based method is used for detecting duplicated tweets...
Microblogs, a mixture of new media and social networks, is a hotbed of lurking users. It is meaningful to capture profiles for a lurking user in customized applications because a lurking user can receive all messages except for sending few messages in microblogs. However, it is difficult to capture profiles for a lurking user because of lacking its user-generated contents. In this paper, we propose...
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