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Link formation pattern during emergency response network dynamics

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  • Alireza Abbasi

Abstract

This study aims to understand the mechanisms of emergency response network evolution by quantitatively examining the link formation pattern among participants involved in a real emergency collaboration network. This is achieved by identifying the participants’ characteristics which can affect forming new links over time. The result indicates the existence of cumulative advantage process, where highly connected participants gain more new links over time. It also reveals the structural position of participants involved in a response network, i.e. brokering position, affects their number of future links. Understanding the link formation pattern is important for understanding the mechanisms of network evolution which help predict more precisely the behavior of actors and dynamics of network structure over time. This can assist researchers, decision makers and practitioners to manage and support the collaboration of actors in their systems in order to reach their organizational goals. The overall findings can contribute further to the development of network organizational theory in different contexts especially disaster and emergency response management. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:3:p:1957-1969
    DOI: 10.1007/s11069-013-0988-0
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Qingchun Li & Bryce Hannibal & Ali Mostafavi & Philip Berke & Sierra Woodruff & Arnold Vedlitz, 2020. "Examining of the actor collaboration networks around hazard mitigation: a hurricane harvey study," 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(3), pages 3541-3562, September.

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