Ego-centered Topic Citation Analysis on Folksonomy Research Documents (폭소노미 연구 문헌에 대한 자아 중심 주제 인용 분석)

Lee, Jae Yun (이재윤)

doi:10.3743/KOSIM.2012.29.4.295

Ego-centered Topic Citation Analysis on Folksonomy Research Documents

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2012, 29(4), pp.295~312
DOI : 10.3743/KOSIM.2012.29.4.295
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : December 8, 2012
Accepted : December 24, 2012
Published : December 30, 2012

Lee, Jae Yun ¹

¹경기대학교

Accredited

ABSTRACT

This research aims to present the ego-centered topic citation analysis, which is a new application of White’s ego-centered citation analysis, for analyzing multilayered knowledge structure of a subject domain. An experimental topic citation analysis was carried out on the folksonomy research documents retrieved from Web of Science. Ego-centered topic citation analyses on folksonomy research domain were conducted in three stages: ego-documents set analysis, topic citation identity analysis, and topic citation image analysis. The results showed that the ego-centered topic citation analysis suggested in this study was successfully performed to illustrate the inner and the outer knowledge structures of folksonomy research domain.

KEYWORDS

ego-centered citation analysis, topic citation analysis, research domain analysis, intellectual structure analysis, folksonomy, citation identity, citation image

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* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Ego-centered Topic Citation Analysis on Folksonomy Research Documents

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Ego-centered Topic Citation Analysis on Folksonomy Research Documents

ABSTRACT

KEYWORDS

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Citation status

KCI Citation Counts (11)

REFERENCES (14) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.