Finding research trend of convergence technology based on Korean R&D network

  • Authors:

  • Jae Hoon Jin;Sang Chan Park;Chong Un Pyon

  • Affiliations:

  • Department of Industrial and Systems Engineering, KAIST, 373-1 Kusung-Dong, Yuseong-Gu, Daejeon 305-701, South Korea;College of Business Administration, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul, South Korea;Department of R&D Policy, Korea Institute of Machinery and Materials, 156, Gajungbukno, Yuseong-Gu, Daejeon 305-343, South Korea

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

Traditionally, collaboration network or citation network is used to answer the old question how scientists or engineers interact with each other. This paper introduces a R&D 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. 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 the structure of network rather than to use only one database. Lastly, we perform a network analysis to examine important experts. The result shows significant information about research trend and core experts in Korea. We expect this study will be helpful in three ways: (1) how to make a network from heterogeneous multi-sources, (2) how to figure out the current situation of convergence technology R&D, (3) how to discover who are important people in Korean convergence technology R&D network. And this paper is just a cornerstone of the work to investigate the current situation of national R&D projects in Korea.