Trendspotter detection system for twitter

Wataru Shirakihara, Tetsuya Oishi, Ryuzo Hasegawa, Hiroshi Hujita, Miyuki Koshimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It is too difficult for us to find out trends with search engines. Twitter, a popular microblogging tool, has seen a lot of growth since it launched in October, 2006. Information about the trends is posted by many twitterers. If we find out trendspotters from twitterers, and follow them, we can get it more easily. Our trendspotter detection system uses the burst detection algorithm, and we verified its effectiveness for Twitter's posts. We succeeded in detecting the 24 trendspotters by 5277 users.

Original languageEnglish
Title of host publicationICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
Pages625-628
Number of pages4
Publication statusPublished - Jul 14 2011
Event3rd International Conference on Agents and Artificial Intelligence, ICAART 2011 - Rome, Italy
Duration: Jan 28 2011Jan 30 2011

Publication series

NameICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
Volume1

Other

Other3rd International Conference on Agents and Artificial Intelligence, ICAART 2011
CountryItaly
CityRome
Period1/28/111/30/11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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