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서지반출
The Impact of Name Ambiguity on Properties of Coauthorship Networks
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  • The Impact of Name Ambiguity on Properties of Coauthorship Networks
  • The Impact of Name Ambiguity on Properties of Coauthorship Networks
저자명
Kim. Jinseok,Kim. Heejun,Diesner. Jana
간행물명
Journal of information science theory and practice : JISTaP
권/호정보
2014년|2권 2호|pp.6-15 (10 pages)
발행정보
한국과학기술정보연구원 정보서비스센터
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Initial based disambiguation of author names is a common data pre-processing step in bibliometrics. It is widely accepted that this procedure can introduce errors into network data and any subsequent analytical results. What is not sufficiently understood is the precise impact of this step on the data and findings. We present an empirical answer to this question by comparing the impact of two commonly used initial based disambiguation methods against a reasonable proxy for ground truth data. We use DBLP, a database covering major journals and conferences in computer science and information science, as a source. We find that initial based disambiguation induces strong distortions in network metrics on the graph and node level: Authors become embedded in ties for which there is no empirical support, thus increasing their sphere of influence and diversity of involvement. Consequently, networks generated with initial-based disambiguation are more coherent and interconnected than the actual underlying networks, and individual authors appear to be more productive and more strongly embedded than they actually are.