More about HKUST
A Survey on Event Detection in Social Networks
PhD Qualifying Examination Title: "A Survey on Event Detection in Social Networks" by Miss Jieying SHE Abstract: A diversity of social network platforms, such as Twitter and Facebook, are becoming popular in recent years. Thanks to the easiness of publishing and spreading information on these platforms, users can report instant news or emergencies and others can follow up or help spread the related messages. People can learn about certain events even more instantly on these platforms than on traditional news media platforms. However, due to the huge number of messages generated every second in these social networks, manually monitoring any instant event is costly and infeasible. Researchers have been exploring automatic event detection solutions for these platforms. Automatic event detection in social networks is however non-trivial and challenging. In addition to the data amount on these platforms that urges for highly efficient algorithms, the noise of data requires event detection solutions to effectively distinguish event-relevant messages from a large number of spam or event-irrelevant ones. In this survey, we first introduce the motivation of studying automatic event detection in social networks. We compare how different event detection is in modern social networks than in traditional media, and clarify why this research topic is challenging. We then review current event detection techniques applied to social network platforms. Particularly, we focus on event detection on Twitter, a social media platform that draws most attention from researchers because of its popularity among users in reporting instant events and the challenges it brings to automatic event detection due to its noisy short messages. Finally, we discuss some future directions in this topic. Date: Thursday, 29 May 2014 Time: 3:30pm - 5:30pm Venue: Room 5487 Lifts 25/26 Committee Members: Dr. Lei Chen (Supervisor) Dr. Huamin Qu (Chairperson) Dr. Pan Hui Dr. Raymond Wong **** ALL are Welcome ****