Open AccessNetwork characteristics and patent value—Evidence from the Light-Emitting Diode industry
Author(s) -
Way Ren Huang,
Chia Jen Hsieh,
Ke Chiun Chang,
Yen Jo Kiang,
Chien Chung Yuan,
Woei Chyn Chu
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0181988
Subject(s) - centrality , closeness , position (finance) , value (mathematics) , betweenness centrality , katz centrality , degree (music) , business , statistics , mathematics , physics , mathematical analysis , finance , acoustics
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.