Network characteristics and patent value—Evidence from the Light-Emitting Diode industry

Way-Ren Huang, Chia-Jen Hsieh, Ke-Chiun Chang, Yen-Jo Kiang, Chien-Chung Yuan and Woei-Chyn Chu

PLOS ONE, 2017, vol. 12, issue 8, 1-14

Abstract: 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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0181988

DOI: 10.1371/journal.pone.0181988

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