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Spatial Influence on Acupoints Network Derived from the Chapter on Acupuncture & Moxibustion in "Beijiqianjinyaofang"  

Kim, Min-Uk (College of Korean Medicine, Wonkwang University)
Yang, Seung-Bum (Dept. Meridian & Acupoint, College of Korean Medicine, Wonkwang University)
Ahn, Seong-Hoon (Dept. Meridian & Acupoint, College of Korean Medicine, Wonkwang University)
Sohn, In-Chul (Dept. Meridian & Acupoint, College of Korean Medicine, Wonkwang University)
Kim, Jae-Hyo (Dept. Meridian & Acupoint, College of Korean Medicine, Wonkwang University)
Publication Information
Korean Journal of Acupuncture / v.29, no.3, 2012 , pp. 431-440 More about this Journal
Abstract
Objectives : Recently, network science is very popular topic in various scientific fields and many studies have reported that it gives meaningful results on studying characteristics of a complex system. In this study, based on network theory, we made acupoints network using data of combined acupoints which appeared at "Beijiqianjinyaofang". We focused to find out the distinctive roles of remote and local combinations on the network. Furthermore, we aimed to identify the possibility of numerical and quantitative application to acupuncture researches. Methods : Based on examples of combined acupoints in "Beijiqianjinyaofang", the network consisted of 291 nodes and 2,431 links. The spatial distances between combined acupoints were calculated by the human dummy model. We removed the links step by step for the three cases - remote, local, and random cases, and observed the characteristic changes by calculating path lengths, similarity indices, and clustering coefficients. Also cluster analysis was carried out. Results : The network had a small number of remote links, and a large number of local links. These two links had the distinct characteristics. Whereas the local links formed a cluster of nearby nodes, remote links played a role to increase the correlation between the clusters. Conclusions : These results suggest that acupoints network increases the connectivity between the distal part and the trunk of human body, and enables various combinations of the acupoints. This finding conclusively showed that mechanism of combined acupoints could be interpreted meaningfully by applying network theory in acupuncture researches.
Keywords
acupoint; network; path length; similarity index; cluster coefficient; Beijiqianjinyaofang;
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  • Reference
1 Beijing University of Traditional Chinese Medicine. Acupuncture and Moxibustion. Beijing : Academy Press (Xue Yuan). 1999.
2 Sun S. Beijiqianjinyaofang. Beijing : Renmin Weisheng Chubanshe. 1996.
3 Kahng B. Complex Network Science. Seoul : Jipmoondang. 2010.
4 WHO Regional Office for the Western Pacific. WHO Standard Acupuncture Point Locations in the Western Pacific Region. Manila : World Health Organization. 2008.
5 The R Project for Statistical Computing. Available from: URL: http://www.r-project.org/ index.html
6 Onnela JP, Arbesman S, Gonzalez MC, Barabasi AL, Christakis NA. Geographic constraints on social network groups. PLoS one. 2011 ; 6 : e16939.   DOI   ScienceOn
7 Milgram S. The Small World Problem. Physiology Today. 1967 ; 2 : 60-7.
8 Watts DJ, Strogatz SH. Collective dynamics of 'small-world' networks. Nature. 1998 ; 393 : 440-2.   DOI   ScienceOn
9 Barabasi AL, Albert R. Emergence of scaling in random networks. Science. 1999 ; 286 : 509-12.   DOI   ScienceOn
10 Oltvai ZN, Barabasi AL. Life's complexity pyramid. Science. 2002 ; 298 : 763-4.   DOI   ScienceOn
11 Ahn YY, Bagrow JP, Lehmann S. Link communities reveal multiscale complexity in networks. Nature. 2010 ; 466 : 761-4.   DOI   ScienceOn
12 Ravasz E, Somera AL, Mongru DA, Oltvai ZN, Barabasi AL. Hierarchical organization of modularity in metabolic networks. Science. 2002 ; 297 : 1551-5.   DOI   ScienceOn