A study on intermediate social network using multi-source data: korean convergence technology R&D case

Abstract

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 ...