{"title":"Characteristics of the relation between diseases and acupuncture points in human body","authors":"W. Hong, L. Hong, Yue-heng Jin","doi":"10.1109/ITIME.2011.6130772","DOIUrl":null,"url":null,"abstract":"In this paper, we analyze the characteristics of an acupoint-disease network by using complex networks theory. Firstly, we build an acupoint-disease network using the data from traditional Chinese medicine acupuncture books, and draw the diagram of the acupoint-disease network. Secondly, we make a projection from the acupoint-disease network to a disease-based acupoint network and an acupoint-based disease network respectively. And the static characteristics of these two networks, which include clustering coefficient, average path length and small-world character etc, are analyzed. Finally, we compare the analyzed results above with the traditional Chinese medicine theory, which indicates that the results totally conform to traditional Chinese medicine theory.","PeriodicalId":170838,"journal":{"name":"2011 IEEE International Symposium on IT in Medicine and Education","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on IT in Medicine and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITIME.2011.6130772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we analyze the characteristics of an acupoint-disease network by using complex networks theory. Firstly, we build an acupoint-disease network using the data from traditional Chinese medicine acupuncture books, and draw the diagram of the acupoint-disease network. Secondly, we make a projection from the acupoint-disease network to a disease-based acupoint network and an acupoint-based disease network respectively. And the static characteristics of these two networks, which include clustering coefficient, average path length and small-world character etc, are analyzed. Finally, we compare the analyzed results above with the traditional Chinese medicine theory, which indicates that the results totally conform to traditional Chinese medicine theory.