@article{oai:tsukuba.repo.nii.ac.jp:00031420,
 author = {MIZUNUMA, Yuhiro and IKEUCHI, Atsushi and SATOH, Tetsuji and 水沼, 友宏 and 池内, 淳 and 山本, 修平 and 山口, 裕太郎 and 佐藤, 哲司 and 島田, 諭},
 issue = {2},
 journal = {情報社会学会誌, The Journal of the Infosocionomics Society},
 month = {Mar},
 note = {Today, there are many different social communication platforms (eg. Facebook,Twitter, LinkedIn Google+,mixi and so forth).
Internet users are spending more time on social media. Twitter which is a kind of microbloglaunched in October 2006, has
become one of the most popular social communication tool in Japan. Because of Twitter's characteristic features such as
immediacy, easiness and bi-directionality, Twitter's timeline instantly reflects the real world. Once a major event happens,the
number of tweets rapidly increases. In this article, this phenomenon is defined as ‘burst’. The authors gathered Japanese tweets
on public timeline from Twitter API over a period of four months starting from March 14, 2012 to July 13, 2012. We collected a
total of 1,379,844,343 posts from 58,866,923 distinct users. This study shows that tweets in bursty term are more retweet, less
reply and less charcters than usual. We have detected four types of bursts by cluster analysis. And the Japanese scale of
earthquake and the distance from epicentre to Tokyo have significantly affected occurrance of burst on Twitter.},
 pages = {41--50},
 title = {Twitter におけるバーストの生起要因と類型化に関する分析},
 volume = {7},
 year = {2013},
 yomi = {イケウチ, アツシ and サトウ, テツジ}
}