Huang Way-Ren, Hsieh Chia-Jen, Chang Ke-Chiun, Kiang Yen-Jo, Yuan Chien-Chung, Chu Woei-Chyn
Department of Biomedical Engineering, School of Biomedical Science and Engineering, National Yang-Ming University, Taipei, Taiwan.
Department of Business Administration, National Yunlin University of Science and Technology, Yunlin, Taiwan.
PLoS One. 2017 Aug 17;12(8):e0181988. doi: 10.1371/journal.pone.0181988. eCollection 2017.
This study proposes a different angle to social network analysis that evaluates patent value and explores its influencing factors using the network centrality and network position. This study utilizes a logistic regression model to explore the relationships in the LED industry between patent value and network centrality as measured from out-degree centrality, in-degree centrality, in-closeness centrality, and network position, which is measured from effect size. The empirical result shows that out-degree centrality and in-degree centrality have significant positive effects on patent value and that effect size has a significant negative effect on patent value.
本研究提出了一种社会网络分析的不同视角，即利用网络中心性和网络位置来评估专利价值并探索其影响因素。本研究运用逻辑回归模型，探讨在LED行业中专利价值与从出度中心性、入度中心性、接近中心性所衡量的网络中心性以及从效应量所衡量的网络位置之间的关系。实证结果表明，出度中心性和入度中心性对专利价值有显著的正向影响，而效应量对专利价值有显著的负向影响。
