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Patent citation network analysis
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 Title & Authors
Patent citation network analysis
Lee, Minjung; Kim, Yongdai; Jang, Woncheol;
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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.
patent citation;prospective technology;PageRank algorithm;stochastic block model;latent space model;
 Cited by
Innovation of technology and social changes - quantitative analysis based on patent big data, Korean Journal of Applied Statistics, 2016, 29, 6, 1025  crossref(new windwow)
Brin, S. and Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine, Computer Networks and ISDN Systems, 30, 107-117. crossref(new window)

Csardi, G. and Nepusz, T. (2006). The igraph software package for complex network research, Interjornal, Complex Systems, 1695.

Daudin, J. J., Picard, F., and Robin, S. (2008). A mixture model for random graphs, Statistics and Computing, 18, 173-183. crossref(new window)

Handcock, M. S., Raftery, A. E., and Tantrum, J. M. (2007). Model-based clustering for social networks, Journal of the Royal Statistical Society: Series A (Statistics in Society), 170, 301-354.

Kolaczyk, E. D. and Csardi, G. (2014). Statistical Analysis of Network Data with R, Springer, New York.

Krivitsky, P. N. and Handcock, M. (2008). Fitting position latent cluster models for social networks with latentnet, Journal of Statistical Software, 24(i05).

Latouche, P., Birmele, E., and Ambroise, C. (2012). Variational Bayesian inference and complexity control for stochastic block models, Statistical Modelling, 12, 93-115. crossref(new window)

Li, X., Lin, Y., Chen, H., and Roco, M. C. (2007). Worldwide nanotechnology development: a comparative study of USPTO, EPO, and JPO patents (1976-2004), Journal of Nanoparticle Research, 9, 977-1002. crossref(new window)

Oh, S., Lei, Z., and Yen, J. (2012). Evaluating and ranking patents using weighted citations. In Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 281-284.

Page, L., Brin, S., Motwani, R., and Winograd, T. (1999). The PageRank citation ranking: bringing order to the web, Stanford InfoLab.

Shortreed, S., Handcock, M. S., and Hoff, P. (2006). Positional estimation within a latent space model for networks, Methodology, 2, 24-33. crossref(new window)

Xing, W. and Ghorbani, A. (2004). Weighted PageRank algorithm. In Proceedings of the Second Annual Conference on Communication Networks and Services Research, 305-314.

Yoo, S.-H., Lee, Y.-H., and Won, D.-K. (2007). A study on the measurement of technological impact using citation analysis of patent information, Journal of Korea Technology Innovation Society, 10, 687-705.