A study on intermediate social network using multi-source data: korean convergence technology R&D case = 멀티 소스 데이터를 사용한 매개체 소셜 네트워크 연구 및 한국 융합 기술 연구개발 사례

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Traditionally, collaboration network or citation network is used to answer the old question how scien-tists or engineers interact with each other. This paper introduces two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network two types of intermediate social network to make up the missing aspect of the traditional approaches about using multi-sources and to find out the trend of convergence technology R&D in Korea. The first approach, named R&D network, is mainly based on national R&D data. We collect data about human resources and national R&D projects from Korean national R&D databases, and then construct a weighted network between experts by using meta-data mapping and the network folding technique. And we apply Newman’s grouping algorithm that is generalized to a weighted network for detecting the community structure of the network. Gathering data from multi-sources is useful to reveal ...
Advisors
Chae, Kyung-Chulresearcher채경철
Description
한국과학기술원 : 산업및시스템공학과,
Publisher
한국과학기술원
Issue Date
2014
Identifier
568495/325007  / 020035884
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 산업및시스템공학과, 2014.2, [ vi, 89 p. ]

Keywords

Social network; 논문 키워드; 네트워크 구축; 연구개발; 융합 기술; 소셜 네트워크; Convergence technology; R&D; Network construction; Paper Keyword

URI
http://hdl.handle.net/10203/196977
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=568495&flag=dissertation
Appears in Collection
IE-Theses_Ph.D.(박사논문)
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