Threshold Effects of the Network Structure in the Relationship Between Patent PageRank and Patent Value

Ke-Chiun Chang,Xingxing Xiang,Kuang-Cheng Chai,Yen-Lin Li,Ting Zhang

doi:10.1109/access.2020.2968540

Ke-Chiun Chang, Xingxing Xiang + Show 3 more

Open Access

https://doi.org/10.1109/access.2020.2968540

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Abstract

This study employed the panel threshold regression model to test whether the network structure of the patent citation network has a threshold effect on the relationship between patent PageRank and patent value. The results demonstrate that the network structure has a threshold effect on the relationship between patent PageRank and patent value, and there is an optimal interval in the network structure. In the optimal interval, the positive impact of patent PageRank and patent value is at the highest level. Hence, the relationship between patent PageRank and patent value is non-linear.

Highlights

Previous scholars have mostly focused on the study of the factors that affect patent value, such as number of inventors, patent claims, patent citations, patent family size, patent technology scope, and so on [1], [2]
The positive impact of patent PageRank and patent value is at the highest level
This study employed the panel threshold regression model to test whether network structure has a threshold effect on the relationship between patent PageRank and patent value

Summary

Introduction

Previous scholars have mostly focused on the study of the factors that affect patent value, such as number of inventors, patent claims, patent citations, patent family size, patent technology scope, and so on [1], [2]. These patent value indicators have been widely recognized through multiple studies conducted in various fields and perspectives, but these indicators merely took into consideration the effect of patent attributes on patent value and ignored the impact of network structure on patent value. On the other hand, closed network structures have high network closure, with less structural holes in the network, and the closedness of the network prompts individuals to develop high cohesion and trusting cooperation thereby helping to dig deep in the same technical field [3], [4].

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