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ISSN : 1229-6783(Print)
ISSN : 2288-1484(Online)
Journal of the Korea Safety Management & Science Vol.15 No.2 pp.161-166
DOI : https://doi.org/10.12812/ksms.2013.15.2.161

대한안전경영과학회지의 연구 주제에 대한 사회 연결망 분석

양 병 학*
*가천대학교 산업경영공학과

A Social network analysis on the research subjects in Journal of Korean Safety Management and Science

Byoung-Hak Yang*
*Department of Industrial Engineering, Gachon University
Received April 9, 2013; Revision Received June 12, 2013; Accepted June 12, 2013.

Abstract

　The purpose of this research is to analyse the research subject in journal of Korean safety management andsciences. Total 1850 key words in 560 papers were analysed by the Pajek system which is one of well knownsocial network analysis tool. Key words trend from 2008 to 2012 was examined. Then the relationship amongeach key words was visualized. There were five key words group which strongly connected among key words.The degree centrality, between centrality, proximity prestige on each key words were calculated to verifyinfluence degree to other key words.
Research subject,Social Network Analysis,Safety management and science
20 양병학(161-166).pdf404.8KB

Reference

1.Sugon Cho, Seongbum Kim, "Finding Meaningful Pattern of Key Words in IIE Transactions Using Text Mining", Journal of the Korean Institute of Industrial Engineers, 38(1) (2012) 67-76
2.Yong Hak Kim, Social Network Analysis, Parkyoungsa (2011)
3.Hye Sun Lim, Taiwoo Chang, "A study on Co-authorship Network in the Journals of a Branch of Logistics", IE Interface, 25(4) (2012) 458-471
4.Byounghak Yang, "A keyword analysis on the RFID research papers", Journal of Korean safety management and science, 14(3) (2012) 221-227
5.CIMERR, http://www.cimerr.net/ (2013)
6.Valdimir Batagelj, Andrej Mrvar, Program for Analysis and Visualization of Large Networks Reference Manual version 2.05, (2011)
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