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Disaster Resilience Differs between Survivors and Victims’ Families: A Semantic Network Analysis

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  • Jae-Eun Lee

    (Department of Public Administration, Chungbuk National University, Cheongju 28644, Korea)

  • Seol-A Kwon

    (National Crisisonomy Institute, Chungbuk National University, Cheongju 28644, Korea)

  • Eugene Song

    (Department of Consumer Science, Chungbuk National University, Cheongju 28644, Korea)

  • Sang Il Ryu

    (Department of Fire Administration and Disaster Management, Dong-Eui University, Busan 47340, Korea)

Abstract

The main purpose of this study is to clarify the difference in disaster resilience between survivors and victims’ families by analyzing the language used in popular literature on disaster cases. The results showed that there were differences in emotions, behaviors, attitudes, role perceptions, etc., between survivors and victims’ families in dealing with a disaster. In particular, survivors remember and think about the situation that occurred at the time of the disaster, which creates resilience to the incident, while victims’ families attempt to establish resilience to the incident by investigating the facts and government countermeasures. While survivors were focused on building their own resilience, victims’ families were more focused on improving government countermeasures to prevent such accidents from recurring. This can be considered as social or national resilience. Based on this comparative analysis, it is necessary to prepare various theoretical foundations for disaster preparedness and resilience, while further elaborating the theory.

Suggested Citation

  • Jae-Eun Lee & Seol-A Kwon & Eugene Song & Sang Il Ryu, 2022. "Disaster Resilience Differs between Survivors and Victims’ Families: A Semantic Network Analysis," Social Sciences, MDPI, vol. 11(3), pages 1-16, March.
  • Handle: RePEc:gam:jscscx:v:11:y:2022:i:3:p:117-:d:767525
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    References listed on IDEAS

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    1. Marya L. Doerfel & Stacey L. Connaughton, 2009. "Semantic networks and competition: Election year winners and losers in U.S. televised presidential debates, 1960–2004," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(1), pages 201-218, January.
    2. Robert Bajek & Yoko Matsuda & Norio Okada, 2008. "Japan’s Jishu-bosai-soshiki community activities: analysis of its role in participatory community disaster risk management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 44(2), pages 281-292, February.
    3. Amado, Alexandra & Cortez, Paulo & Rita, Paulo & Moro, Sérgio, 2018. "Research Trends On Big Data In Marketing: A Text Mining And Topic Modeling Based Literature Analysis," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 24(1), pages 1-7.
    4. Bountress, Kaitlin E. & Gilmore, Amanda K. & Metzger, Isha W. & Aggen, Steven H. & Tomko, Rachel L. & Danielson, Carla Kmett & Williamson, Vernell & Vladmirov, Vladimir & Ruggiero, Kenneth & Amstadter, 2020. "Impact of disaster exposure severity: Cascading effects across parental distress, adolescent PTSD symptoms, as well as parent-child conflict and communication," Social Science & Medicine, Elsevier, vol. 264(C).
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