한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제56권1호
  • /
  • Pages.11-20
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  • 2014
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  • 1738-3692(pISSN)
  • /
  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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동적 확률 재규격화를 이용한 네트워크 연쇄 관계 해석

Analysis of Network Chain using Dynamic Convolution Model

  • 이형진 (서울대학교 농업생명과학대학 생태 조경.지역시스템공학부) ;
  • 김태곤 (서울대학교 농업생명과학대학 생태 조경.지역시스템공학부) ;
  • 이정재 (서울대학교 농업생명과학대학 조경.지역시스템공학부, 농업생명과학연구원) ;
  • 서교 (서울대학교 농업생명과학대학 조경.지역시스템공학부, 농업생명과학연구원, 그린바이오과학기술 연구원)
  • 투고 : 2013.11.11
  • 심사 : 2013.12.10
  • 발행 : 2014.01.31
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초록

Many classification studies for the community of densely-connected nodes are limited to the comprehensive analysis for detecting the communities in probabilistic networks with nodes and edge of the probabilistic distribution because of the difficulties of the probabilistic operation. This study aims to use convolution method for operating nodes and edge of probabilistic distribution. For the probabilistic hierarchy network with nodes and edges of the probabilistic distribution, the model of this study detects the communities of nodes to make the new probabilistic distribution with two distribution. The results of our model was verified through comparing with Monte-carlo Simulation and other community-detecting methods.

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참고문헌

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