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A Study on Collaborative Network for Coping with COVID-19 Using Social Network Analysis

소셜 네트워크 분석을 활용한 코로나19 대응 협력 네트워크에 관한 연구

  • 오주연 (인하대학교 융합보안e거버넌스센터) ;
  • 김진재 (인하대학교 물류전문대학원) ;
  • 이태호 (넥스트시스템) ;
  • 서우종 (인하대학교 경영학과)
  • Received : 2022.04.30
  • Accepted : 2022.05.24
  • Published : 2022.06.30

Abstract

The purpose of this study is to reveal the specific current and future shapes of the collaborative network among organizations witch cope the COVID-19 in Korea. For this, this study conducted social network analysis, based on the response data of 73 experts from 36 COVID-19-related organizations. As a result of the analysis, it was confirmed that the Korea Disease Control and Prevention Agency (KDCA) plays a pivotal role as a control tower in coping COVID-19 in all of the analysis of degree, betweenness, and closeness centrality. In addition, the results revealed concrete forms of collaborative relationships among participating organizations in the public and private sectors that constitute the present and future networks centered on the KDCA. Furthermore, this study presented which organizations and relationships should be the focus of establishing a future collaborative network through comparative analysis between the current cooperative network and the network to be built in the future. The analysis results and discussions of this study are expected to be used as useful information for policy development related to collaborative networks that can effectively respond to disasters caused by new diseases in the future.

본 연구의 목적은 현재 국내의 코로나19 관련 조직 간 협력 네트워크의 구체적인 현재의 모습과 미래의 모습을 밝히는 데 있다. 이를 위해, 본 연구에서는 국내 36개의 코로나19 관련 조직의 73명의 전문가들의 응답 데이터를 바탕으로 소셜 네트워크 분석을 수행하였다. 분석 결과, 연결, 매개, 근접 중심성 분석 모두에서 질병관리청이 코로나19 대응에 있어 컨트롤타워 기관으로서 중추적인 역할을 하고 있음을 확인할 수 있었다. 또한, 분석을 통해 현재와 미래의 협력 네트워크를 구성하는 민·관 분야의 참여 조직들 간의 구체적인 협력 관계들의 모습을 구체적으로 밝힐 수 있었다. 본 연구는 현재의 협력 네트워크와 향후 구축되어야 할 네트워크 간의 비교분석을 통해 향후 구체적으로 어떤 조직들과 관계들이 협력 네트워크 구축의 초점이 되어야 하는지도 제시하였다. 본 연구의 분석 결과와 논의는 향후 새로운 질병으로 인한 재난에 효과적으로 대응할 수 있는 협력 네트워크 관련 정책개발에 유용한 정보로 활용될 수 있을 것으로 기대된다.

Keywords

Acknowledgement

이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2019S1A5C2A03081234). 이 논문은 인하대학교의 지원에 의하여 연구되었음.

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