The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Patent citation network analysis

특허 인용 네트워크 분석

  • Received : 2016.02.11
  • Accepted : 2016.04.25
  • Published : 2016.06.30
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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.

과학 기술의 발전은 사회를 급격하게 변화시켜 왔다. 특허 자료 분석은 현대 과학 기술의 흐름을 이해하고 미래 유망기술을 예측할 수 있게 한다. 본 연구에서는 기술의 동향을 파악하고자 1985년과 2012년 사이에 미국 특허청에 등록된 특허를 중심으로 특허 인용 네트워크를 분석한다. 주요 기술군을 파악하기 위해 PageRank 알고리즘 외에 다양한 중심성 지표를 이용하고, 통계적 네트워크 모형을 통해 유사한 기술들의 군집을 찾아내고자 한다.

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References

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