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How and why: complementary analyses of social network structures and cultural values: improving flood response networks in Queensland, Australia

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  • Elizabeth Malone
  • Susan Kinnear

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. Copyright Pacific Northwest National Laboratory 2015

Suggested Citation

  • Elizabeth Malone & Susan Kinnear, 2015. "How and why: complementary analyses of social network structures and cultural values: improving flood response networks in Queensland, Australia," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 203-220, January.
  • Handle: RePEc:spr:qualqt:v:49:y:2015:i:1:p:203-220
    DOI: 10.1007/s11135-013-9982-6
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    References listed on IDEAS

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    1. Dan M. Kahan & Ellen Peters & Maggie Wittlin & Paul Slovic & Lisa Larrimore Ouellette & Donald Braman & Gregory Mandel, 2012. "The polarizing impact of science literacy and numeracy on perceived climate change risks," Nature Climate Change, Nature, vol. 2(10), pages 732-735, October.
    2. S. Prabhakar & Ancha Srinivasan & Rajib Shaw, 2009. "Climate change and local level disaster risk reduction planning: need, opportunities and challenges," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 14(1), pages 7-33, January.
    3. Steve Rayner, Elizabeth L. Malone, 2001. "Climate change, poverty, and intragenerational equity: the national level," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 1(2), pages 175-202.
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    Cited by:

    1. Yingxin Chen & Jing Zhang & Pandu R. Tadikamalla & Lei Zhou, 2019. "The Mechanism of Social Organization Participation in Natural Hazards Emergency Relief: A Case Study Based on the Social Network Analysis," IJERPH, MDPI, vol. 16(21), pages 1-20, October.
    2. Branden B. Johnson & Brendon Swedlow, 2021. "Cultural Theory's Contributions to Risk Analysis: A Thematic Review with Directions and Resources for Further Research," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 429-455, March.
    3. Lei Du & Yingbin Feng & Li Yaning Tang & Wei Kang & Wei Lu, 2020. "Networks in disaster emergency management: a systematic review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1-27, August.
    4. M. Aenne Schoop & Marco Verweij & Ulrich Kühnen & Shenghua Luan, 2020. "Political disagreement in the classroom: testing cultural theory through structured observation," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 623-643, April.

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