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Co-author and Keyword Networks and their Clustering Appearance in Preventive Medicine Fields in Korea: Analysis of Papers in the Journal of Preventive Medicine and Public Health, $1991{\sim}2006$  

Jung, Min-Soo (Department of Medical Sociology, Graduate School of Public Health, Seoul National University)
Chung, Dong-Jun (Department of Statistics, University of Wisconsin-Madison)
Publication Information
Journal of Preventive Medicine and Public Health / v.41, no.1, 2008 , pp. 1-9 More about this Journal
Abstract
Objectives : This study evaluated knowledge structure and its effect factor by analysis of co-author and keyword networks in Korea's preventive medicine sector. Methods : The data was extracted from 873 papers listed in the Journal of Preventive Medicine and Public Health, and was transformed into a co-author and keyword matrix where the existence of a 'link' was judged by impact factors calculated by the weight value of the role and rate of author participation. Research achievement was dependent upon the author's status and networking index, as analyzed by neighborhood degree, multidimensional scaling, correspondence analysis, and multiple regression. Results : Co-author networks developed as randomness network in the center of a few high-productivity researchers. In particular, closeness centrality was more developed than degree centrality. Also, power law distribution was discovered in impact factor and research productivity by college affiliation. In multiple regression, the effect of the author's role was significant in both the impact factor calculated by the participatory rate and the number of listed articles. However, the number of listed articles varied by sex. Conclusions : This study shows that the small world phenomenon exists in co-author and keyword networks in a journal, as in citation networks. However, the differentiation of knowledge structure in the field of preventive medicine was relatively restricted by specialization.
Keywords
Preventive medicine; Sociology; Interdisciplinary communication; Korea;
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Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 1
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1 Watts DJ, Strogatz SH. Collective dynamics of 'small-world' networks. Nature 1998;393(6684): 440-442   DOI   PUBMED   ScienceOn
2 Buchanan M. Nexus: Small Worlds and the Groundbreaking Science of Networks. New York: W. W. Norton & Company; 2002. p. 235
3 Cole J, Cole S. Social Stratification in Science. Chicago: University of Chicago Press; 1973, p. 33
4 Bremholm TL. Author productivity and citation frequency in the proceedings of the Oklahoma Academy of Science, 1921-2000. Proc Okla Acad Sci 2004; 84: 53-66
5 MacRoberts MH, MacRoberts BR. A Reevaluation of Lotka's Law of scientific productivity. Soc Studies Sci 1982; 12(3): 443-450   DOI   ScienceOn
6 Sen BK. Comments on measurement of organizational scientific productivity. Current Sci 2006; 91(10): 1306-1307
7 Barabasi AL. Jeong H, Neda Z, Ravasz E, Schubert A, Viscek T. Evolution of the social network of scientific collaborations. Physica A 2002: 311(3-4); 590-614   DOI   ScienceOn
8 Newman MEJ. Scientific collaboration networks: Ic%network construction and fundamental result. Phys Rev E 2001; 64(1): 016131
9 Kim JY. Directions for future development of preventive medicine in Korea. J Prev Med Public Health 2006; 39(3): 185-189. (Korean)   과학기술학회마을
10 Lim HS. Future of scientific research on preventive medicine in Korea. J Prev Med Public Health 2006; 39(2): 105-109. (Korean)   과학기술학회마을
11 Garfield E. Citation analysis as a tool in journal evaluation. Science 1972; 178(4060): 471-479   DOI   PUBMED   ScienceOn
12 Yoo YJ. A Study on Intellectual Structure of Library and Information Science in Korea dissertation. Korea: Yonsei Univ; 2003. (Korean)
13 Lee HJ. The Social Structure of Science and Technology: Network Analysis for Coauthorship Citation and Keywords dissertation. Korea: Yonsei Univ; 2003. (Korean)
14 Barabasi AL. Linked: The New Science of Networks. Cambridge: Perseus; 2002. p. 41-92
15 Huberman BA, Adamic LA. Growth dynamics of the world-wide web. Nature 1999; 401(6749): 131   PUBMED
16 Erdos P, Renyi A. On the evolution of random graphs. Publ Math Inst Hung Acad Sci 1960; 5: 17-61
17 Merton RK. The Sociology of Science: Theoretical and Empirical Investigations. Chicago: University of Chicago Press; 1973. p. 267-412
18 Glanzel W. Coauthorship patterns and trends in the Sciences (1980-1998): A bibliometric study with implications of database indexing and search strategies. Libr Trends 2002; 50(3): 461-473
19 Collins H. The seven sex: A study in the sociology of a phenonmenon, or the replication of experiments in physics. Sociology 1975 ; 9(2): 205-224   DOI
20 Li M, Fan Y, Chen J, Gao L, Di Z, Wu J. Weighted networks of scientific communication: The measurement and topological role of weight. Physica A 2005; 350(2-4): 643-656   DOI   ScienceOn
21 McDowell JM, Melvin M. The determinants of coauthorship: An analysis of the economics literature. Rev Econ Stat 1983; 65(1): 155-160   DOI   ScienceOn
22 Travers J, Milgram S. An Experimental study of the small world problem. Sociometry 1969;32(4): 425-443   DOI   ScienceOn
23 Lotka AJ. The frequency distribution of scientific productivity. J Wash Acad Sci 1926;16(12): 317-323
24 Yoon B, Park Y. A text-mining-based patent network: Analytical tool for high-technology trend. J High Technol Manage Res 2004;15(1): 37-50   DOI   ScienceOn
25 Merton RK. The mattew effect in science. Science 1968; 159(3810): 56-63   DOI   PUBMED   ScienceOn
26 Malin B, Carley K. A longitudinal social network analysis of the editorial boards of medical informatics and bioinformatics journals. J Am Med Inform Assoc 2007; 14(3): 340-348   DOI   ScienceOn
27 Albert R, Jeong H, Barabasi AL. Diameter of the world-wide web. Nature 1999; 401(6749): 130   DOI   ScienceOn
28 Barnes B, Bloor D, Henry J. Scientific Knowledge: A Sociological Analysis. London: Athlone; 1996. p. 1-119
29 Lindsey D. Production and citation measures in the sociology of science: The problem of multiple authorship. Soc Stud Sci 1980; 10(2): 145-162   DOI   ScienceOn
30 Wasserman S, Faust K. Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press;1994. p. 167-214
31 Newman MEJ. Scientific collaboration networks: IIc%shortest paths, weighted networks, and centrality. Phys Rev E 2001; 64(1): 016132
32 Milgram S. The small world problem. Psychol Today 1967; 1(1): 61-67
33 Lee CS. A scientometric study of SCI impact factors of major Korean medical journals: 1991-1999. Korea Soc Inf Manage 2001; 18(1): 85-104. (Korean)
34 Garfield E. Of nobel class: A citation perspective on high impact research authors. Theor Med 1992; 13(2): 117-135   DOI   ScienceOn
35 Bloor D. Knowledge and Social Imagery. Chicago: University of Chicago Press; 1973. p. 1-15
36 Erdos P, Renyi A. On the strength of connectedness of a random graph. Publ Math Inst Hung Acad Sci 1961; 12(1-2): 261-267   DOI
37 Zipf GK. Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology. 2nd ed. New York: Hafner Pub. Co.;1965
38 Price DJ. Networks of scientific papers. Science 1965; 149(3683): 510-515   DOI   PUBMED