(A) qualitative method to find influencers using similarity-based approach in the blogosphere블로거의 영향력 분석을 위한 유사도 기반 정량화 모델에 관한 연구

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Blogs have become an important medium of information in that bloggers convey their own experiences and views on a given topic in a more genuine and conversational manner than can be typically be found in the mainstream media. Accordingly, before making decisions and/or buying brand-new products, internet users may search for information in the blogosphere and read various blog posts. However, to do so they will likely have to read many blog posts as representative influential bloggers are not identified and listed by blog systems. At present, blog systems only list popular bloggers based on traffic information, however, such popular bloggers are not necessarily influential. In the present paper, we present important groundwork for identifying influential bloggers by weighting readers based on their homophily and vulnerability with bloggers. We present the Quantifying Influence Model (QIM), which attempts to measure the influence score of bloggers. QIM is composed of ‘Interpersonal similarity’ and ‘Degree of information propagation’ as follows: (1) ‘Interpersonal similarity’ represents the interaction among bloggers and like-minded readers, and is computed by the tag-similarity. (2) ‘Degree of information propagation’ represents how many readers a blogger has, where the readers diffuse the blog posts via sharing behavior. This quantity is computed as the weighted ratio to infect readers on one’s propensity to share. To evaluate QIM, we conduct experiments with data from Naver blog, which is the largest blog service in Korea and rank bloggers in order of importance. As a result, we find that QIM can differentiate influential bloggers from popular bloggers. More specifically, QIM distinguish readers who have relatively homophilous ties with repeated interactions differently from those who once respond to blog posts simply to utilize resources and those who are non-active. Finally, we compare the frequencies of readers’ referring influential bloggers with th...
Advisors
Han, Sang-Ki한상기
Description
한국과학기술원 : 문화기술대학원,
Publisher
한국과학기술원
Issue Date
2010
Identifier
418928/325007  / 020073164
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2010.2, [ vii, 74 p. ]

Keywords

Influence model; Information propagation; Tag similarity; Influential blogger; blogosphere; 블로그스피어; 영향력 측정 모델; 정보 전파; 태그 기반 유사도; 인플루언서

URI
http://hdl.handle.net/10203/35099
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=418928&flag=dissertation
Appears in Collection
GCT-Theses_Master(석사논문)
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