Trending words based event detection in Sina Weibo

Xinjiang Lu, Zhiwen Yu, Bin Guo, Jiafan Zhang, Alvin Chin, Jilei Tian, Yang Cao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Online social networks provide us an unprecedented volume of available data, which results from the pervasive adoption of online social applications. In particular, for the unique characteristics on promoting content sharing, microblogging social networks offer us a new proxy for detecting and tracking the events being taken place in the real world. In spite of large amount of social babble involved, the microblog data contains fresh news coming from human sensors at a humungous rate. As the online social network is a platform that is able to process fast changing streaming data, however it is hard to discover meaningful events in such noisy circumstances in time. In this paper, we study the keywords determining problem in event detection and propose a novel and much more effective method for discovering bursty words in microblogging social networks by leveraging temporal dynamics information. Based on this, we propose an efficient event detection framework applied in Sina Weibo-a Chinese microblogging site similar to Twitter. With experiments conducted on real data sourced from Sina Weibo, we show the effectiveness and feasibility of our proposed method and framework.

Original languageEnglish
Title of host publicationProceedings of the 3rd ASE International Conference on Big Data Science and Computing, BIGDATASCIENCE 2014
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450328913
DOIs
StatePublished - 4 Aug 2014
Event3rd ASE International Conference on Big Data Science and Computing, BIGDATASCIENCE 2014 - Beijing, China
Duration: 4 Aug 20147 Aug 2014

Publication series

NameACM International Conference Proceeding Series
Volume04-07-August-2014

Conference

Conference3rd ASE International Conference on Big Data Science and Computing, BIGDATASCIENCE 2014
Country/TerritoryChina
CityBeijing
Period4/08/147/08/14

Keywords

  • Bursty words detection
  • Event detection
  • Sina Weibo

Fingerprint

Dive into the research topics of 'Trending words based event detection in Sina Weibo'. Together they form a unique fingerprint.

Cite this