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Cited 5 time in webofscience Cited 5 time in scopus
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Community Analysis of a Crisis Response Network

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dc.contributor.authorKim, Yushim-
dc.contributor.authorKim, Jihong-
dc.contributor.authorOh, Seong Soo-
dc.contributor.authorKim, Sang Wook-
dc.contributor.authorKu, Minyoung-
dc.contributor.authorCha, Jae Hyuk-
dc.date.accessioned2022-07-06T17:42:18Z-
dc.date.available2022-07-06T17:42:18Z-
dc.date.created2021-05-12-
dc.date.issued2021-06-
dc.identifier.issn0894-4393-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/141846-
dc.description.abstractThis article distinguishes between clique family subgroups and communities in a crisis response network. Then, we examine the way organizations interacted to achieve a common goal by employing community analysis of an epidemic response network in Korea in 2015. The results indicate that the network split into two groups: core response communities in one group and supportive functional communities in the other. The core response communities include organizations across government jurisdictions, sectors, and geographic locations. Other communities are confined geographically, homogenous functionally, or both. We also find that whenever intergovernmental relations were present in communities, the member connectivity was low, even if intersectoral relations appeared together within them.-
dc.language영어-
dc.language.isoen-
dc.publisherSAGE PUBLICATIONS INC-
dc.titleCommunity Analysis of a Crisis Response Network-
dc.typeArticle-
dc.contributor.affiliatedAuthorOh, Seong Soo-
dc.contributor.affiliatedAuthorKim, Sang Wook-
dc.contributor.affiliatedAuthorCha, Jae Hyuk-
dc.identifier.doi10.1177/0894439319858679-
dc.identifier.scopusid2-s2.0-85070304605-
dc.identifier.wosid000479433900001-
dc.identifier.bibliographicCitationSocial Science Computer Review, v.39, no.3, pp.371 - 390-
dc.relation.isPartOfSocial Science Computer Review-
dc.citation.titleSocial Science Computer Review-
dc.citation.volume39-
dc.citation.number3-
dc.citation.startPage371-
dc.citation.endPage390-
dc.type.rimsART-
dc.type.docTypeArticle; Early Access-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaInformation Science & Library Science-
dc.relation.journalResearchAreaSocial Sciences - Other Topics-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryInformation Science & Library Science-
dc.relation.journalWebOfScienceCategorySocial Sciences, Interdisciplinary-
dc.subject.keywordPlusDECISION-MAKING-
dc.subject.keywordPlusPUBLIC-HEALTH-
dc.subject.keywordPlusCOORDINATION-
dc.subject.keywordPlusPREPAREDNESS-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordPlusEMERGENCY-
dc.subject.keywordPlusCOMMUNICATION-
dc.subject.keywordPlusDISEASE-
dc.subject.keywordAuthorepidemic response network-
dc.subject.keywordAuthorcommunity detection algorithms-
dc.subject.keywordAuthornetwork analysis-
dc.subject.keywordAuthoremergency management-
dc.identifier.urlhttps://journals.sagepub.com/doi/10.1177/0894439319858679-
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서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles
서울 정책과학대학 > 서울 행정학과 > 1. Journal Articles

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