Paper Info
Title
Temporal Impact Analysis for Technological Innovation Based on Box-Cox Transformation
Abstract
In addition to the preferential attachment mechanism, the evolving citation history of a technical paper is also influenced by time. However, the influence pattern varies a lot in real cases, and cannot be described by a certain distribution like normal distribution. In order to find a universal model to measure the influence of time, this paper proposed a model which combines the normal distribution with Box-Cox transformation. Compared with existing models such as Logistic model, Gompertz model and Wang's model (Science, 2013), our model explain the actual scientific research rules more widely and obtain higher accuracy by conducting experiments in four cases. It can not only describe emerging research topics but also explain the "Sleeping Beauties" phenomenon.
Year
DOI
Venue
2018
10.1109/SMC.2018.00048
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Keywords
Field
DocType
Temporal Impact,Technological Innovation,Box-Cox Transformation,Technology Assessment
Econometrics,Normal distribution,Computer science,Gompertz function,Citation,Power transform,Artificial intelligence,Phenomenon,Logistic regression,Preferential attachment,Machine learning,Scientific method
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-5386-6651-7
0
PageRank 
References 
Authors
0.34
6
5
Name
Order
Citations
PageRank
Jianguo Xu101.69
Mengjun Li2123.96
Minghao Li312.75
Qing-Song Zhao410412.21
Bingfeng Ge54611.25