Correlation analysis between financial data and patent score based on HITS algorithm

Hirofumi Nonaka, Daiki Kubo, Makoto, Toru Hiraoka Kimura, Takahisa Ota, Shigeru Masuyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Patents can defend the inventions of enterprises and bring about economic benefits. Therefore, evaluation of patent value is useful for predicting financial data such as stock, revenue, and profit. In order to establish a patent scoring method, we focus on patent reference network which represents attention of others. We applied HITS algorithm which is web-link analysis method to evaluate patent reference network. And we also calculate correlation between the patent score and stock data. As a result, B to B and/or small company tends to fit the liner regression.

Original languageEnglish
Title of host publication2014 IEEE International Technology Management Conference, ITMC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479933129
DOIs
Publication statusPublished - 8 Oct 2014
Event2014 IEEE International Technology Management Conference, ITMC 2014 - Chicago, United States
Duration: 12 Jun 201415 Jun 2014

Publication series

Name2014 IEEE International Technology Management Conference, ITMC 2014

Conference

Conference2014 IEEE International Technology Management Conference, ITMC 2014
CountryUnited States
CityChicago
Period12/06/1415/06/14

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Keywords

  • HITS
  • Text mining
  • patent scoring
  • patent value
  • reference network

Cite this

Nonaka, H., Kubo, D., Makoto, Kimura, T. H., Ota, T., & Masuyama, S. (2014). Correlation analysis between financial data and patent score based on HITS algorithm. In 2014 IEEE International Technology Management Conference, ITMC 2014 [6918607] (2014 IEEE International Technology Management Conference, ITMC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITMC.2014.6918607