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  • P-ISSN 1010-0695
  • E-ISSN 2288-3339

Exploratory Structural Analysis on Eight Positions for New Formulations in Jingyuequanshu by Network Analysis

Journal of Korean Medicine / Journal of Korean Medicine, (P)1010-0695; (E)2288-3339
2014, v.35 no.3, pp.49-59





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Abstract

Background: Eight positions for new formulations in Jingyuequanshu is a unique classifying system and each position can be presented as a network. Network analysis is an effective method of visualizing the relationship of textual information. Purpose: This study aimed to analyze the structure of the eight positions for new formulations in Jingyuequanshu, and to acquire information about composing materia medica. Methods: We constructed an initial database and binary matrix of eight positions for new formulation in Jingyuequanshu, including its herbs and formulations. With this data, we carried out frequency and network analysis. Results: We analyzed each of the eight positions for new formulation, entire positions, and five positions after removing ‘causal/cold/hot’ positions. We found that the formulas of the causal position are distributed throughout the new formulation, and those of the cold and hot positions are also distributed similarly but the two groups are exclusive to each other. The other 5 positions are distributed exclusively to one another. Conclusions: Eight positions for new formulation of Jingyuequanshu were classified into three axes by exploratory network analysis. One is an axis of causal position, another is an axis of cold/hot positions, and the last is an axis of the other five positions.

keywords
network analysis, Jingyuequanshu, eight positions for new formulation, Korean medicine, Zhang Jingyue


Reference

1

1. Lee SW, Hong WS. A Study on the Scientific Characteristics of Medicine in the Meong Dynasty. Kyung Hee Univ. Oriental Medicine Journal. 1984;7(1):391–409.

2

2. Kim SP. The Summary of Zhang Jie Bin’s ‘The Meaning of Medicine and Changes.’ Journal of the Society of Korean Medical Classics. 2000;13(2):2-12.

3

3. Kim KW, Park HK. Comparative Study on Theory of Sanghwa of Joo Dankye and Jang Kyungak. Journal of the Society of Korean Medical Classics. 2006;19(4):12-26.

4

4. Kim JH. A Comparative Research of Eight Principle Pattern Identification - Based on Zhang Jie-Bin, Cheng Guo-Peng, and Jiang Han-Tun. Journal of the Society of Korean Medical Classics. 2013;26(2):47-59.

5

5. Lee HK, Lee YJ, Jung HY, Park K. A Study on the Significance of Pulse in Internal Classic in the Chapters on Vitality of Pulse in the Complete Works of Zhang Jingyue. Journal of the Society of Korean Medical Classics. 2006;19(3):314-364.

6

6. Kim DI, Kang DH, Lee TK. Study on Theories and Medicines about Seven-Stuck Abortion of Gynecological Part, Jingyuequanshu. The Journal of Oriental Gynecology. 1999;12(1):279-296.

7

7. Hong DK, Yook SH, Kim MY, Park YJ, Oh HS, Nam DH, et al. A Structural Analysis of Sanghanron by Network Model - Centered on Symptoms and Herbs of Taeyangbyung Compilation in Sanghanron. Journal of Korean Medicine. 2011;32(1):56-66.

8

8. Cetorelli N, Peristiani S. Prestigious Stock Exchanges: A Network Analysis of International Financial Centers. J. Bank. Finance. 2013;37(5):1543–1551.

9

9. Song JH. Application of Social Network Analysis for Location Selection of Agricultural Wholesale Market in Gyeonggi-do. Journal of the Korea Academia-Industrial Cooperation Society. 2013;14(3):1123-1134.

10

10. Chun HJ, Leem BH. Analysis to Customer Churn Provoker’s Roles Using Call Network of a Telecom Company. The Korean Journal of Applied Statistics. 2013;26(1):23-36.

11

11. Kwon HC, Ha MS, Jung DH, Lee JK. A Study of Gifted Students’ Peer Relationship in an Elementary School’s General and Gifted Classes. Journal of Gifted/Talented Education. 2012;22(3):757-777.

12

12. Choi KH, Moon KS. Content Analysis of Presidents’ Addresses of English Literary Societies in Korea: Focusing on Analysis of a Language Network. Journal of Korea Contents Association. 2013;13(3):495-501.

13

13. Zhou X, Liu B. Network Analysis System for Traditional Chinese Medicine Clinical Data. 2nd International Conference on Biomedical Engineering and Informatics. 2009:1–5.

14

14. Shi Q, Zhao H, Chen J, Ma X, Yang Y, Zheng C, et al. Study on TCM Syndrome Identification Modes of Coronary Heart Disease Based on Data Mining. Evidence-Based Complementary and Alternative Medicine. 2012;Article ID 697028:11.

15

15. Yang DH, Kang JH, Park YB, Park YJ, Oh HS, Kim SB. Association Rule Mining and Network Analysis in Oriental Medicine. PLoS ONE. 2013;8(3):e59241.

16

16. Lee SH, Kim CE, Lee IS, Jung WM, Kim HG, Jang H, et al. Network Analysis of Acupuncture Points Used in the Treatment of Low Back Pain. Evidence-Based Complementary and Alternative Medicine. 2013;Article ID 402180:7.

17

17. Lee SS. Methodology of Network Analysis. Nonhyung. 2012.

18

18. Kim YH. Social Network Analysis. Parkyungsa, 2013.

19

19. Jang JY. Kyungakjunseo. Hanmi Medicine. 2006.

20

20. National Institute of Publishing Korean Medicine College Textbooks. Bonchohak. Seoul:Yunglimsa. 2010.

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