Unknown

Dataset Information

0

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


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.

SUBMITTER: Huang WR 

PROVIDER: S-EPMC5560636 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Huang Way-Ren WR   Hsieh Chia-Jen CJ   Chang Ke-Chiun KC   Kiang Yen-Jo YJ   Yuan Chien-Chung CC   Chu Woei-Chyn WC  

PloS one 20170817 8


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 o  ...[more]

Similar Datasets

| S-EPMC5107354 | biostudies-literature
| S-EPMC4476752 | biostudies-literature
| S-EPMC6713875 | biostudies-literature
| S-EPMC8741182 | biostudies-literature
| S-EPMC5372653 | biostudies-literature
| S-EPMC5380012 | biostudies-literature
| S-EPMC9743620 | biostudies-literature
| S-EPMC9419665 | biostudies-literature
| S-EPMC2751867 | biostudies-literature
| S-EPMC8605192 | biostudies-literature