DocumentCode :
3697035
Title :
Discovering Event Evolution Chain in Microblog
Author :
Zhongyu Lu;Weiren Yu;Richong Zhang;Jianxin Li;Hua Wei
Author_Institution :
State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
fYear :
2015
Firstpage :
635
Lastpage :
640
Abstract :
Microblog, such as Weibo and Twitter, has become an important platform where people share their opinions. Much research has been done to detect topics and events in microblogs. Due to the dynamic nature of events, it is more crucial to monitor the evolution and trace the development of the events. People pay more attention to the whole evolution chain of the events rather than a single event. In this paper, we propose a method to automatically discover event evolution chain in microblogs based on multiple similarity measures including contents, locations and participants. We build a 5-tuple event description model specifically for events detected from microblogs and analyze their relationships. Inverted index and locality-sensitive hashing are used to improve the efficiency of the algorithm. Experiment shows that our method gain a 143.33% speed up against method without locality-sensitive hashing. In comparison with the ground truth and a baseline method, the result illustrates that it effectively covers ground truth and outperforms the baseline method especially in dealing with the long-term spanning events.
Keywords :
"Indexes","Event detection","Twitter","Monitoring","Atmospheric measurements","Particle measurements","Buildings"
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on
Type :
conf
DOI :
10.1109/HPCC-CSS-ICESS.2015.81
Filename :
7336229
Link To Document :
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