Analysis of Network Chain using Dynamic Convolution Model

Year
2014
Type(s)
Author(s)
Hyungjin Lee, Taegon Kim, Jeongjae Lee, Kyo Suh
Source
Journal of the Korean Society of Agricultural Engineers v.56 no.1, 2014, pp.11 - 20
Url
http://ocean.kisti.re.kr/IS_mvpopo213L.do?ResultTotalCNT=11&pageNo=1&pageSize=10&method=view&acnCn1=&poid=ksae&kojic=NGHHCI&sVnc=v56n1&id=1&setId=&iTableId=&iDocId=&sFree=&pQuery=%28kojic%3ANGHHCI%29+AND+%28voliss_ctrl_no%3Av56n1%29

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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