Patent Main Path Analysis with Arc Weights Adjusted by Classification Similarity

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Patent Main Path Analysis with Arc Weights Adjusted by Classification Similarity

Type: Article in monograph or in proceedings
Title: Patent Main Path Analysis with Arc Weights Adjusted by Classification Similarity
Author: Kuan C.H.Chiu C.W.Liu J.S.Huang M.H.Chen D.Z.
Journal Title: STI 2018 Conference Proceedings
Start Page: 1107
End Page: 1114
Publisher: Centre for Science and Technology Studies (CWTS)
Issue Date: 2018-09-11
Keywords: Scientometrics
Abstract: This study proposes to modify the traditional main path analysis (MPA) by assigning weights reflecting degrees of relatedness between the cited and the citing patents according to their classification symbols using generalized Jaccard coefficients. In this way, this study expects that the lineage of knowledge dissemination or technological development may be more clearly captured. According to observations based on empirical data, the modified MPA indeed better identifies development lineages in an earlier stage when the citation network is limited. The modified MPA may also identify additional trajectories of separate technology development in an intermediate stage, which may be overlooked by the traditional MPA.
Handle: http://hdl.handle.net/1887/65356
 

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