Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상욱 | - |
dc.date.accessioned | 2020-06-10T01:04:19Z | - |
dc.date.available | 2020-06-10T01:04:19Z | - |
dc.date.issued | 2019-06 | - |
dc.identifier.citation | ACM International Conference Proceeding Series, Page. 177-185 | en_US |
dc.identifier.isbn | 978-1-4503-7204-6 | - |
dc.identifier.uri | https://dl.acm.org/doi/10.1145/3325112.3325260 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/151536 | - |
dc.description.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. © 2019 Association for Computing Machinery. | en_US |
dc.description.sponsorship | This work was supported by the National Research Foundation of Korea grant funded by the Korea government (Ministry of Science and ICT) (No.2018R1A5A7059549). Online data collection tool for news articles was provided by the Center for Computational Social Science at Hanyang University. We appreciate research assistance from Jihyun Byeon and useful comments from Chan Wang. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Association for Computing Machinery | en_US |
dc.subject | MERS | en_US |
dc.subject | Response Network | en_US |
dc.subject | Subgroup Analysis | en_US |
dc.title | Subgroup Analysis of an Epidemic Response Network of Organizations: 2015 MERS Outbreak in Korea | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1145/3325112.3325260 | - |
dc.relation.page | 177-185 | - |
dc.contributor.googleauthor | Kim, Yushim | - |
dc.contributor.googleauthor | Kim, Jihong | - |
dc.contributor.googleauthor | Oh, Seong Soo | - |
dc.contributor.googleauthor | Kim, Sang-Wook | - |
dc.contributor.googleauthor | Ku, Minyoung | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | wook | - |
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