TY - GEN
T1 - Trendspotter detection system for twitter
AU - Shirakihara, Wataru
AU - Oishi, Tetsuya
AU - Hasegawa, Ryuzo
AU - Hujita, Hiroshi
AU - Koshimura, Miyuki
PY - 2011/7/14
Y1 - 2011/7/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79960123607&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960123607&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:79960123607
SN - 9789898425409
T3 - ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
SP - 625
EP - 628
BT - ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
T2 - 3rd International Conference on Agents and Artificial Intelligence, ICAART 2011
Y2 - 27 January 2011 through 29 January 2011
ER -