TY - JOUR
T1 - Measurement of social networks for innovation within community disaster resilience
AU - Wilkin, Joanna
AU - Biggs, Eloise
AU - Tatem, Andrew J.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - 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.
AB - 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.
KW - Community disaster resilience
KW - Connectivity
KW - Data
KW - Disaster risk reduction
KW - Innovation
KW - Social network analysis
KW - Social network mapping
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=85064053505&partnerID=8YFLogxK
U2 - 10.3390/su11071943
DO - 10.3390/su11071943
M3 - Review article
AN - SCOPUS:85064053505
SN - 2071-1050
VL - 11
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 7
M1 - 1943
ER -