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The investigation of community structures in networks is an important issue in many domains and disciplines. However, Most of the present algorithms consider only structure of the network, ignoring some additional conditions such as direction, weight, semantic, etc. In this paper the behaviors of each vertex are focus. Based on the previous work, two limitations of swarm similarity in closely community...
Emails play an important role in our daily life. It has been recognized that clustering emails into meaningful groups can greatly save cognitive load to process emails. Mailbox user becomes more and more concerned about how to organize and manage the emails as well as how to mine the meaningful data conveniently and effectively. This paper proposes a novel personal topics detection approach using...
Traditional topic tracking approaches can obtain the relevant stories. However, the relationship between stories occurred during the topic developing process can not be exhibited clearly. By analyzing the evolution of the topic, the concept subtopic is put forward and the focus of topic evolution analysis is subtopic instead. Four levels topic model is constructed. The subtopic detection algorithm,...
In the area of topic tracking, topic is developing with time. Actually speaking, traditional topic tracking approaches could track the relevant stories. However, the relation between events occurred during the topic development process could not be learned with traditional approaches. Furthermore, the whole history of the topic tracking could not be acquired either. Based on these disadvantages in...
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