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Network Formation During Disasters: Exploring Micro-Level Interorganizational Processes and the Role of National Capacity

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  • Michael D. Siciliano
  • Clayton Wukich

Abstract

Despite common assumptions about the processes associated with interorganizational network formation, the resulting structures and relevant factors often vary. This variation suggests that there are likely contextual or meta-network variables that moderate the influence of well-established micro-level mechanisms. Because much of the existing research on disaster response networks relies on single case studies, the role of meta-network variables in shaping network formation remains unexplored. We look to fill this gap by comparing network formation patterns in multiple countries that vary in their disaster management capacity. This article uses social network analysis to analyze the formation of response networks after earthquakes in Indonesia, Haiti, and Japan. This study contributes to existing literature by examining how transitivity, homophily, and brokerage vary in their salience under different macro-level constraints. The results suggest that national response capacity may influence the jurisdictional level at which bridging and bonding strategies take place.

Suggested Citation

  • Michael D. Siciliano & Clayton Wukich, 2017. "Network Formation During Disasters: Exploring Micro-Level Interorganizational Processes and the Role of National Capacity," International Journal of Public Administration, Taylor & Francis Journals, vol. 40(6), pages 490-503, May.
  • Handle: RePEc:taf:lpadxx:v:40:y:2017:i:6:p:490-503
    DOI: 10.1080/01900692.2016.1140200
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    Cited by:

    1. Naim Kapucu & Ratna B Dougherty & 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.

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