知的生産集団のコンフィギュレーションの分析 : 半導体分野と遺伝子治療薬分野のネットワークの例

概要

論文の詳細を見る
It is generally recognized that technological innovation drives economical advance, and this process is promoted by scientific findings. However, we know little about how scientific findings assist technological innovation. This paper focuses on collaborations that are conducted by scientists and engineers, and investigated mutual affects between them. Concretely, I created two networks for each semiconductor sector and gene remedy medicine sector by using papers and patents data. Then, I analyzed the networks by random graph models for multiple relations. The analysis is logistic regression analysis and uses network configurations as explanatory variables, and emergence probability of networks as explained variables.