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, 1991~2006

Abstract

Objectives: This Stud. Evaluated Knowledge Struct. and Its Effect Factor by Anal. of Co-author and Keyword Networks in Korea's Prev. Med. Sector. Methods: the Data Was Extracted from 873 Papers Listed in the Jnl. of Prev. Med. and Pub. Hlth., 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. Res. Achievement Was Dependent Upon the Author's Status and Networking Index, As Analyzed by Neighborhood Degree, Multidimensional Scaling, Correspondenceanalysis, and Multiple Regression. Results: Co-author Networks Developed As Randomness Netwk. in the Ctr. of A Few High-productivity Researchers. in Particular, Closeness Centrality Was More Developed Than Degree Centrality. Also,Pwr. Law Distr. Was Discovered in Impact Factor and Res. Productivity by Coll. 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 No. of Listed Articles. However, the No. of Listed Articles Varied by Sex. Conclusions: This Stud. Shows That the Small World Phenomenon Exists in Co-author and Keyword Networks in A Jnl., As in Citation Networks. However, the Differentiation of Knowledge Struct. in the Fld. of Prev. Med. Was Relatively Restricted by Specialization.