Measurement of Social Networks for Innovation within Community Disaster Resilience
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WorldPop, Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK
2
Geography and Planning, UWA School of Agriculture and Environment, University of Western Australia, Crawley 6009, Australia
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(7), 1943; https://doi.org/10.3390/su11071943
Received: 25 February 2019
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Revised: 27 March 2019
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Accepted: 29 March 2019
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Published: 2 April 2019
(This article belongs to the Special Issue Disaster-risk Reduction and Impact Assessment for Resilience and Sustainability)
Disaster risk reduction (DRR) research has long recognised that social networks are a vital source of support during and after a shock. However, the quantification of this social support, primarily through its recognition as social capital, has proven problematic as there is no singular method for its measurement, invalidating the credibility of studies that try to correlate its effects with community disaster resilience. Within the wider resilience field, research that specifically utilises social networks as the focus of analysis is evolving. This paper provides a critical synthesis of how this developing discourse is filtering into community disaster resilience, reviewing empirical case studies from the Global South within DRR that use social network analysis and connectivity measurement. Our analysis of these studies indicates that a robust methodology utilising social network analysis is emerging, which offers opportunity for research cross-comparability. Our review also finds that without this bottom-up mapping, the implementation of top-down preparedness policy and procedures are likely to fail, resulting in the advocation of social network analysis as a critical methodology in future resilience research and policy planning.
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Keywords:
community disaster resilience; social networks; connectivity; disaster risk reduction; social network analysis; social network mapping; data; innovation
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MDPI and ACS Style
Wilkin, J.; Biggs, E.; Tatem, A.J. Measurement of Social Networks for Innovation within Community Disaster Resilience. Sustainability 2019, 11, 1943. https://doi.org/10.3390/su11071943
AMA Style
Wilkin J, Biggs E, Tatem AJ. Measurement of Social Networks for Innovation within Community Disaster Resilience. Sustainability. 2019; 11(7):1943. https://doi.org/10.3390/su11071943
Chicago/Turabian StyleWilkin, Joanna, Eloise Biggs, and Andrew J Tatem. 2019. "Measurement of Social Networks for Innovation within Community Disaster Resilience" Sustainability 11, no. 7: 1943. https://doi.org/10.3390/su11071943
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