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http://dx.doi.org/10.5351/KJAS.2016.29.4.613

Patent citation network analysis  

Lee, Minjung (NAVER)
Kim, Yongdai (Department of Statistics, Seoul National University)
Jang, Woncheol (Department of Statistics, Seoul National University)
Publication Information
The Korean Journal of Applied Statistics / v.29, no.4, 2016 , pp. 613-625 More about this Journal
Abstract
The development of technology has changed the world drastically. Patent data analysis helps to understand modern technology trends and predict prospective future technology. In this paper, we analyze the patent citation network using the USPTO data between 1985 and 2012 to identify technology trends. We use network centrality measures that include a PageRank algorithm to find core technologies and identify groups of technology with similar properties with statistical network models.
Keywords
patent citation; prospective technology; PageRank algorithm; stochastic block model; latent space model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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