Finding information spreading and topics based clustering on Twitter = 트위터 상에서의 정보 확산과 주제별 집단화에 관한 연구

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 723
  • Download : 0
Online social networks are ways of spreading news. Some issues in online social networks make diffusion based on lots of reasons and influence is one of those reasons. To distinguishing influence in online social newtorks, statistical techniques are used. Also, diffusion of topics in online social networks are limited by clusters in those networks. Shuffle test is a statistical method to figure out influences in online social networks. Otherwise, Jaccard index is used to find out the clusters in online social network services. Influeces in online social networks are differenct depending on the situation. Also, it is hard to spread news toward other clusters which is based on topics because people tend to mention topics only which they have interests in. We have crawled the entire Korean Twitter and get 3 billion tweets from 6.6 million users. We find out limitation of influences and clusters in online social networks with 19 keywords from political issues, entertainments issues, the name of electronic devices and other general issues. This is the work which shows the pattern and limitation of influences in Korean Twitter across topics.
Advisors
Lee, Won-Jae이원재
Description
한국과학기술원 : 문화기술대학원,
Publisher
한국과학기술원
Issue Date
2012
Identifier
509210/325007  / 020104289
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2012.8, [ v, 36 p. ]

Keywords

Twitter; Diffusion; 트위터; 확산; 집단화; Clustering

URI
http://hdl.handle.net/10203/181123
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=509210&flag=dissertation
Appears in Collection
GCT-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0