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    학술지 소아청소년정신의학의 공저 네트워크 분석

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    https://www.riss.kr/link?id=A103044909

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Objectives: The purpose of this study is to analyze the co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry, a representative journal published by a branch of the domestic psychiatric academy, in order to present the current state of the co-authoring of and developments in child and adolescent psychiatry.
    Methods: We visualized and estimated the basic characteristics of the co-author networks shown by 564 authors who wrote 251 papers published in the Journal of the Korean Academy of Child and Adolescent Psychiatry between 2005 and 2015, in order to assess their network characteristics, author centrality, and relevance to research performance.
    Results: The co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry showed the characteristics of a small world and scale-free network. There was a correlation between the author centrality within the network and the research performance of the authors, but less correlation was shown between the centrality and mean paper citation counts.
    Conclusion: The network structure in the Journal of the Korean Academy of Child and Adolescent Psychiatry showed similarity to the co-authoring of other branches. However, given that the mean paper citation counts were less correlated with the author centrality than those in other branches, it may be necessary to promote an increase in the mean paper citation counts.
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    Objectives: The purpose of this study is to analyze the co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry, a representative journal published by a branch of the domestic psychiatric academy, in order to present...

    Objectives: The purpose of this study is to analyze the co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry, a representative journal published by a branch of the domestic psychiatric academy, in order to present the current state of the co-authoring of and developments in child and adolescent psychiatry.
    Methods: We visualized and estimated the basic characteristics of the co-author networks shown by 564 authors who wrote 251 papers published in the Journal of the Korean Academy of Child and Adolescent Psychiatry between 2005 and 2015, in order to assess their network characteristics, author centrality, and relevance to research performance.
    Results: The co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry showed the characteristics of a small world and scale-free network. There was a correlation between the author centrality within the network and the research performance of the authors, but less correlation was shown between the centrality and mean paper citation counts.
    Conclusion: The network structure in the Journal of the Korean Academy of Child and Adolescent Psychiatry showed similarity to the co-authoring of other branches. However, given that the mean paper citation counts were less correlated with the author centrality than those in other branches, it may be necessary to promote an increase in the mean paper citation counts.

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    목차 (Table of Contents)

    • 서론
    • 방법
    • 결과
    • 고찰
    • 결론
    • 서론
    • 방법
    • 결과
    • 고찰
    • 결론
    • REFERENCES
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    참고문헌 (Reference)

    1 최명제, "학술지 ‘신경정신의학’의 연구 네트워크 특성 분석" 대한신경정신의학회 54 (54): 418-426, 2015

    2 최영훈, "학술논문 공동저술 유형 분석: 한국행정학보(1989-2008) 기고논문을 중심으로" 한국행정학회 43 (43): 51-72, 2009

    3 임병학, "사회 네트워크 분석을 활용한 물류 공저자들의협력 네트워크 구조 분석: 한국물류학회지를 중심으로" 한국물류학회 21 (21): 205-229, 2011

    4 Newman ME, "The structure of scientific collaboration networks" 98 : 404-409, 2001

    5 Collins HM, "The seven sexes: a study in the sociology of a phenomenon, or the replication of experiments in physics" 9 : 205-224, 1975

    6 Wuchty S, "The increasing dominance of teams in production of knowledge" 316 : 1036-1039, 2007

    7 Scott J, "Social network analysis" SAGE Publications 2012

    8 Son DW, "Social network analysis" Kyungmoonsa 2002

    9 Clauset A, "Power-law distributions in empirical data" 51 : 661-703, 2009

    10 Newman MEJ, "Power laws, Pareto distributions and Zipf’s law" 46 : 323-351, 2005

    1 최명제, "학술지 ‘신경정신의학’의 연구 네트워크 특성 분석" 대한신경정신의학회 54 (54): 418-426, 2015

    2 최영훈, "학술논문 공동저술 유형 분석: 한국행정학보(1989-2008) 기고논문을 중심으로" 한국행정학회 43 (43): 51-72, 2009

    3 임병학, "사회 네트워크 분석을 활용한 물류 공저자들의협력 네트워크 구조 분석: 한국물류학회지를 중심으로" 한국물류학회 21 (21): 205-229, 2011

    4 Newman ME, "The structure of scientific collaboration networks" 98 : 404-409, 2001

    5 Collins HM, "The seven sexes: a study in the sociology of a phenomenon, or the replication of experiments in physics" 9 : 205-224, 1975

    6 Wuchty S, "The increasing dominance of teams in production of knowledge" 316 : 1036-1039, 2007

    7 Scott J, "Social network analysis" SAGE Publications 2012

    8 Son DW, "Social network analysis" Kyungmoonsa 2002

    9 Clauset A, "Power-law distributions in empirical data" 51 : 661-703, 2009

    10 Newman MEJ, "Power laws, Pareto distributions and Zipf’s law" 46 : 323-351, 2005

    11 Bonacich P, "Power and centrality : a family of measures" 92 : 1170-1182, 1987

    12 Korean Citation Index, "National research foundation of Korea"

    13 Hanneman RA, "Introduction to social network methods"

    14 Larivière V, "International comparative performance of mental health research, 1980-2011" 23 : 1340-1347, 2013

    15 Abbasi A, "Identifying the effects of co-authorship networks on the performance of scholars : a correlation and regression analysis of performance measures and social network analysis measures" 5 : 594-607, 2011

    16 Okamoto K, "Frontiers in Algorithmics" Springer 186-195, 2008

    17 Marsden PV, "Egocentric and sociocentric measures of network centrality" 24 : 407-422, 2002

    18 Cyram N, "Cyram netminer 4.1.0" Cyram 2013

    19 Kretschmer H, "Coauthorship networks of invisible colleges and institutionalized communities" 30 : 363-369, 1994

    20 Freeman LC, "Centrality in social networks conceptual clarification" 1 : 215-239, 1978

    21 Hirsch JE, "An index to quantify an individual’s scientific research output" 102 : 16569-16572, 2005

    22 Travers J, "An experimental study of the small world problem" 32 : 425-443, 1969

    23 Velden T, "A new approach to analyzing patterns of collaboration in co-authorship networks-mesoscopic analysis and interpretation" 85 : 219-242, 2010

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2022 평가 재인증평가 신청대상 (재인증)
    2019-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2016-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2012-01-01 등재 등재 1차 FAIL (등재유지) KCI등재
    2009-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2008-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2006-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.63 0.63 0.68
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.69 0.71 1.282 0.04
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