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A longitudinal study of evolving networks in response to natural disaster

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  • Alireza Abbasi

    (The University of New South Wales (UNSW Australia))

  • Naim Kapucu

    (University of Central Florida)

Abstract

In this study, we present a longitudinal analysis of the evolution of interorganizational disaster coordination networks (IoDCNs) in response to natural disasters. There are very few systematic empirical studies which try to quantify the optimal functioning of emerging networks dealing with natural disasters. We suggest that social network analysis is a useful method for exploring this complex phenomenon from both theoretical and methodological perspective aiming to develop a quantitative assessment framework which could aid in developing a better understanding of the optimal functioning of these emerging IoDCN during natural disasters. This analysis highlights the importance of utilizing network metrics to investigate disaster response coordination networks. Results of our investigation suggest that in disasters the rate of communication increases and creates the conditions where organizational structures need to move at that same pace to exchange new information. Our analysis also shows that inter-organizational coordination network structures are not fixed and vary in each period during a disaster depending on the needs. This may serve the basis for developing preparedness among agencies with an improved perspective for gaining effectiveness and efficiency in responding to natural disasters.

Suggested Citation

  • Alireza Abbasi & Naim Kapucu, 2016. "A longitudinal study of evolving networks in response to natural disaster," Computational and Mathematical Organization Theory, Springer, vol. 22(1), pages 47-70, March.
    • Handle: RePEc:spr:comaot:v:22:y:2016:i:1:d:10.1007_s10588-015-9196-7
    DOI: 10.1007/s10588-015-9196-7
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    References listed on IDEAS

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    1. Mark S. Mizruchi & Joseph Galaskiewicz, 1993. "Networks of Interorganizational Relations," Sociological Methods & Research, , vol. 22(1), pages 46-70, August.
    2. Alireza Abbasi, 2014. "Link formation pattern during emergency response network dynamics," 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. 71(3), pages 1957-1969, April.
    3. Danielle Varda & Rich Forgette & David Banks & Noshir Contractor, 2009. "Social Network Methodology in the Study of Disasters: Issues and Insights Prompted by Post-Katrina Research," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 28(1), pages 11-29, February.
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    Cited by:

    1. Aros, Susan K. & Gibbons, Deborah E., 2018. "Exploring communication media options in an inter-organizational disaster response coordination network using agent-based simulation," European Journal of Operational Research, Elsevier, vol. 269(2), pages 451-465.
    2. Naim Kapucu & Ratna Okhai & Yue Ge & Chris Zobel, 2023. "The use of documentary data for network analysis in emergency and crisis 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. 116(1), pages 425-445, March.
    3. Thomas Rotolo & Scott Frickel, 2019. "When disasters strike environmental science: a case–control study of changes in scientific collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 301-317, July.
    4. José Antonio Belso-Martínez & Alicia Mas-Tur & Mariola Sánchez & María José López-Sánchez, 2020. "The COVID-19 response system and collective social service provision. Strategic network dimensions and proximity considerations," Service Business, Springer;Pan-Pacific Business Association, vol. 14(3), pages 387-411, September.
    5. Daniel A. Eisenberg & Jeryang Park & Thomas P. Seager, 2017. "Sociotechnical Network Analysis for Power Grid Resilience in South Korea," Complexity, Hindawi, vol. 2017, pages 1-14, October.
    6. Yunmeng Lu & Tiezhong Liu & Tiantian Wang, 2021. "Dynamic analysis of emergency inter-organizational communication network under public health emergency: a case study of COVID-19 in Hubei Province of China," 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. 109(3), pages 2003-2026, December.
    7. Lei Du & Yingbin Feng & Li Yaning Tang & Wei Kang & Wei Lu, 2020. "Networks in disaster emergency management: a systematic review," 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. 103(1), pages 1-27, August.

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