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Department of Computer Science Seminar
2017 Series

From Community Detection to Community Search

Dr. Xin Huang
Research Assistant Professor
Department of Computer Science
Hong Kong Baptist University

Date: October 11, 2017 (Wednesday)
Time: 2:30 - 3:30 pm
Venue: SCT909, Cha Chi Ming Science Tower, Ho Sin Hang Campus

Communities serve as basic structures for understanding the organization of many real-world networks, such as social, biological, collaboration, and communication networks. Recently, community search over large graphs has attracted significantly increasing attention, from simple and static graphs to evolving, attributed, location-based graphs. Different from the well-studied problem of community detection that finds all communities in an entire network, community search is to find the cohesive communities w.r.t. the query nodes. We survey the state-of-the-art of community search on various kinds of networks across different application areas such as densely-connected community search, attributed community search, social circle discovery, and querying geosocial groups. This talk finally concludes by offering my ongoing research and future directions on data visualization, social media analysis, and healthcare.

Dr. Huang received the Ph.D. degree from the Department of Systems Engineering and Engineering Management at the Chinese University of Hong Kong and the B.Eng. degree from the Department of Computer Science at Xiamen University of China. His research interests include data management, data mining, and social network analysis. He serves as invited reviewers for journals including VLDBJ and TKDE, and program committees for conferences including VLDB, ICDE, WWW, and SDM.

********* ALL INTERESTED ARE WELCOME ***********
(For enquiry, please contact Computer Science Department at 3411 2385)
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Department of Computer Science, Hong Kong Baptist University
Hong Kong Baptist University