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

Article information

J Korean Med. 2014;35(3):49-59
Publication date (electronic) : 2014 September 30
doi : https://doi.org/10.13048/jkm.14030
1College of Korean Medicine College, Kyung Hee University, Seoul, Korea
2Department of Biofunctional Medicine & Diagnostics, College of Korean Medicine, Kyung Hee University, Seoul, Korea
*

Yunkyeong Jeong and Hyungsuk Kim contributed to this paper equally.

Correspondence to: 박영배 (Young-bae Park), 서울시 동대문구 회기동 경희대학교 한의과대학 진단ㆍ생기능의학과 Tel : +82-2-958-9240, Fax : +82-2-958-9241, E-mail : bmppark@khu.ac.kr
Received 2014 June 26; Revised 2014 August 20; Accepted 2014 August 20.

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.

Fig. 1.

Initial data structure of eight positions of new formulation in Jingyuequanshu

Fig. 2.

Binary matrix of formulation and herbs

Fig. 3.

Network analysis of the entire formula

Fig. 4.

Network analysis of seven positions after removing ‘causal position’

Fig. 5.

Network analysis of five positions after removing ‘causal, cold, and hot positions’

Fig. 6.

Network analysis of the each combination of the five positions

Fig. 7.

Network analysis of cold position and hot position

Network and Frequency Analysis of Each Position

Frequency Analysis of the Entire Formulas

References

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. 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. 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. 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. 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. 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. 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. Cetorelli N, Peristiani S. Prestigious Stock Exchanges: A Network Analysis of International Financial Centers. J. Bank. Finance 2013;37(5):1543–1551.
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. 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. 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. 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. 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. 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. 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. 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. Lee SS. Methodology of Network Analysis Nonhyung 2012;
18. Kim YH. Social Network Analysis. Parkyungsa 2013;
19. Jang JY. Kyungakjunseo Hanmi Medicine 2006;
20. National Institute of Publishing Korean Medicine College Textbooks. Bonchohak Seoul: Yunglimsa; 2010.

Article information Continued

Fig. 1.

Initial data structure of eight positions of new formulation in Jingyuequanshu

Fig. 2.

Binary matrix of formulation and herbs

Fig. 3.

Network analysis of the entire formula

Fig. 4.

Network analysis of seven positions after removing ‘causal position’

Fig. 5.

Network analysis of five positions after removing ‘causal, cold, and hot positions’

Fig. 6.

Network analysis of the each combination of the five positions

Fig. 7.

Network analysis of cold position and hot position

Table 1.

Network and Frequency Analysis of Each Position

Position # of formula Network Main Herbs Frequency of herbs Ratio (%)
Tonifying (補陣) 29 Rehmanniae Radix Preparat(숙지황) 22 75.9
Angelicae Gigantis Radix(당귀) 14 48.3
Lycii Fructus(구기자) 12 41.4
Dioscoreae Rhizoma(산약) 11 37.9
Ginseng Radix(인삼) 10 34.5

Harmonizing (和陣) 20 Citri Pericarpium(진피) 14 70.0
Poria(백복령) 10 50.0
Magnoliae Cortex(후박) 9 45.0
Alismatis Rhizoma(택사) 8 40.0
Pinelliae Rhizoma(반하) 6 30.0

Attacking (攻陣) 5 Aucklandiae Raidx(목향) 3 60.0
Gleditsiae Spina(조각자)
Calomelas(경분) 2 40.0
Linderae Radix(오약)
Caryophylli Flos(정향)
Citri Pericarpium(진피)
Alismatis Rhizoma(택사)
Crotonis Fructus(파두)

Dispersing (散陣) 17 Bupleuri Radix(시호) 13 76.5
Angelicae Gigantis Radix(당귀) 7 41.2
Citri Pericarpium(진피)
Zingiberis Rhizoma(생강) 5 29.4

Cold (寒陣) 20 Alismatis Rhizoma(택사) 8 40.0
Paeoniae Radix Alba(백작약) 7 35.0
Scutellariae Radix(황금)
Akebiae Caulis(목통)
Rehmanniae Radix(생지황) 6 30.0

Heat (熱陣) 25 Zingiberis Rhizoma(건강) 19 76.0
Ginseng Radix(인삼) 12 48.0
Poria(백복령) 8 32.0
Aconiti Lateralis Preparata
Radix(부자)
Angelicae Gigantis Radix(당귀) 7 28.0
Atractylodis Rhizoma White(백출)
Rehmanniae Radix Preparat(숙지황)

Securing (固陣) 10 Schizandrae Fructus(오미자) 6 60.0
Poria(백복령) 5 50.0
Atractylodis Rhizoma White(백출)
Dioscoreae Rhizoma(산약)
Cuscutae Semen(토사자)
Polygalae Radix(원지) 3 30.0
Ginseng Radix(인삼)

Causal (因陣) 60 Angelicae Gigantis Radix(당귀) 26 43.3
Paeoniae Radix Alba(백작약) 17 28.3
Rehmanniae Radix Preparat(숙지황) 14 23.3
Cnidii Rhizoma(천궁) 9 15.0
Cinnamomi Cortex(육계) 8 13.3

Table 2.

Frequency Analysis of the Entire Formulas

# of formula Main Herbs Frequency Ratio(%)
186 Angelicae Gigantis Radix(당귀) 57 30.6
Rehmanniae Radix Preparat(숙지황) 51 27.4
Citri Pericarpium(진피) 42 22.6
Poria(백복령) 41 22.0
Paeoniae Radix Alba(백작약) 39 21.0
Ginseng Radix(인삼) 33 17.7
Atractylodis Rhizoma White(백출) 31 16.7
Zingiberis Rhizoma(건강) 29 15.6
Alismatis Rhizoma(택사) 27 14.5
Dioscoreae Rhizoma(산약) 23 12.4