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Analysis of Papers in the Korean Journal of Applied Statistics by Co-Author Networks Analysis

공저자 네트워크를 활용한 응용통계연구 분석

Lee, M.;Park, M.;Lee, H.;Jin, S.
이민희;박미라;이효정;진서훈

  • Received : 20111000
  • Accepted : 20111100
  • Published : 2011.12.31

Abstract

This study analyzed an aspect of co-author relationship in papers published in the Korean Journal of Applied Statistics by social network analysis. The data were extracted from 664 papers in the journal from 2000 to 2010. Authors at center of the network are detected by a network centrality analysis. Sub-network analysis found distinguishable research groups from the point of view of their topics or affiliations. The significance of affiliations to co-author relationship was examined by logistic regression analysis.

Keywords

Social network analysis;co-author networks;centrality;the Korean Journal of Applied Statistics

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Cited by

  1. A Case Analysis on Safety Researcher Relationship during 2011-2013 vol.16, pp.4, 2014, https://doi.org/10.12812/ksms.2014.16.4.247
  2. Global Research Trends on Geospatial Information by Keyword Network Analysis vol.23, pp.1, 2015, https://doi.org/10.12672/ksis.2015.23.1.069
  3. The comparison of coauthor networks of two statistical journals of the Korean Statistical Society using social network analysis vol.26, pp.2, 2015, https://doi.org/10.7465/jkdi.2015.26.2.335
  4. The Analyses of Research Productivity and Review Efficiency for IT Related Journal vol.13, pp.4, 2014, https://doi.org/10.9716/KITS.2014.13.4.093

Acknowledgement

Supported by : 한국연구재단