Measurement of Social Networks for Innovation within Community Disaster Resilience

• Main Authors: Joanna Wilkin, Eloise Biggs, Andrew J Tatem
• Format: Article
• Language: English
• Published: MDPI AG 2019-04-01
• Series: Sustainability
• Subjects: community disaster resilience; social networks; connectivity; disaster risk reduction; social network analysis; social network mapping; data; innovation
• Online Access: https://www.mdpi.com/2071-1050/11/7/1943

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.