Recognition of emerging technology trends: class-selective study of citations in the U.S. Patent Citation Network

被引:0
|
作者
Péter Bruck
István Réthy
Judit Szente
Jan Tobochnik
Péter Érdi
机构
[1] ProcessExpert Ltd,Climate and Space Sciences and Engineering Department
[2] Gobinfo Ltd,Departments of Physics and Computer Science
[3] University of Michigan,Center for Complex Systems Studies
[4] Kalamazoo College,Computational Neuroscience Group, Wigner Research Centre for Physics
[5] Kalamazoo College,undefined
[6] Hungarian Academy of Sciences,undefined
来源
Scientometrics | 2016年 / 107卷
关键词
PageRank; Patents; Trend recognition; Damping factor;
D O I
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中图分类号
学科分类号
摘要
By adopting a citation-based recursive ranking method for patents the evolution of new fields of technology can be traced. Specifically, it is demonstrated that the laser/inkjet printer technology emerged from the recombination of two existing technologies: sequential printing and static image production. The dynamics of the citations coming from the different “precursor” classes illuminates the mechanism of the emergence of new fields and give the possibility to make predictions about future technological development. For the patent network the optimal value of the PageRank damping factor is close to 0.5; the application of d = 0.85 leads to unacceptable ranking results.
引用
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页码:1465 / 1475
页数:10
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