Subgroup analysis of an epidemic response network of organizations: 2015 MERS outbreak in Korea

Yushim Kim, Jihong Kim, Seong Soo Oh, Sang Wook Kim, Minyoung Ku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper analyzes subgroups in an epidemic response network to gain decision-making insights. We collected relational data among organizations in news articles during the 2015 Middle East Respiratory Syndrome (MERS) Coronavirus outbreak in South Korea. The MERS response network consisted of a total of 998 organizations and 1,968 edges. We identified and examined 28 subgroups. We found that the subgroup structure can be explained by three factors: activeness in the response, geographical location, and organizational function. Two core subgroups that actively responded to the outbreak consisted of heterogeneous organizations at multiple governmental levels and in multiple sectors. This implies that subgroups of heterogeneous organizations are worthy of greater attention than are homogeneous subgroups in the epidemic response network.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th Annual International Conference on Digital Government Research
Subtitle of host publicationGovernance in the Age of Artificial Intelligence, dg.o 2019
EditorsFadi Salem, Anneke Zuiderwijk, Yu-Che Chen
PublisherAssociation for Computing Machinery
Pages177-185
Number of pages9
ISBN (Electronic)9781450372046
DOIs
StatePublished - Jun 18 2019
Event20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019 - Dubai, United Arab Emirates
Duration: Jun 18 2019Jun 20 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019
CountryUnited Arab Emirates
CityDubai
Period6/18/196/20/19

Keywords

  • MERS
  • Response Network
  • Subgroup Analysis

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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    Kim, Y., Kim, J., Oh, S. S., Kim, S. W., & Ku, M. (2019). Subgroup analysis of an epidemic response network of organizations: 2015 MERS outbreak in Korea. In F. Salem, A. Zuiderwijk, & Y-C. Chen (Eds.), Proceedings of the 20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence, dg.o 2019 (pp. 177-185). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3325112.3325260