Abstract
Social network analysis (SNA) is well recognized as a tool for informing climate change adaptation; however, this methodology is limited by a focus on quantitative structural analyses (how many nodes and ties exist, and between whom), rather than accessing richer information about their meaning (value content of ties). One way to improve the usefulness of SNA is to purposefully complement the structural analysis with cultural elements that can be drawn from field datasets. In this network-governance case study from Queensland, Australia, research on organizations involved in water management and flood responses events showed that cultural values were important in influencing network connections and preferred approaches to flood pre-planning and response. For example, there were differences in organizational preferences for the numbers and types of links that are rooted in different values. From this, Mary Douglas’ Cultural Theory categories of individualists, hierarchists, and egalitarians were extended to analyze the types of ties between network nodes, the preferred approaches of different types of organization, and the problematic links and missing links among network nodes. This work illustrates that analyses of both structural SNA and cultural values can be used to improve regional-level adaptation activities such as disaster management. Here, increased knowledge about social networks, network ties, and cultural values can facilitate a process of social learning that will help societies adapt to climate change impacts.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.