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Measurement of social networks for innovation within community disaster resilience

Measurement of social networks for innovation within community disaster resilience
Measurement of social networks for innovation within community disaster resilience

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.

Community disaster resilience, Connectivity, Data, Disaster risk reduction, Innovation, Social network analysis, Social network mapping, Social networks
2071-1050
1-16
Wilkin, Joanna
b200e097-cafb-46c9-9882-7b2689a2c9e4
Biggs, Eloise
f0afed06-18ac-4a4d-841c-36ea4ff8a3b4
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Wilkin, Joanna
b200e097-cafb-46c9-9882-7b2689a2c9e4
Biggs, Eloise
f0afed06-18ac-4a4d-841c-36ea4ff8a3b4
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Wilkin, Joanna, Biggs, Eloise and Tatem, Andrew J. (2019) Measurement of social networks for innovation within community disaster resilience. Sustainability, 11 (7), 1-16. (doi:10.3390/su11071943).

Record type: Review

Abstract

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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sustainability-11-01943 - Version of Record
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More information

Accepted/In Press date: 29 March 2019
Published date: 2 April 2019
Keywords: Community disaster resilience, Connectivity, Data, Disaster risk reduction, Innovation, Social network analysis, Social network mapping, Social networks

Identifiers

Local EPrints ID: 430431
URI: https://eprints.soton.ac.uk/id/eprint/430431
ISSN: 2071-1050
PURE UUID: fa0ed463-c498-4fc3-941e-fec0d2dbd987
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 01 May 2019 16:30
Last modified: 10 Dec 2019 01:37

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