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Utilizing Hyperlink Network Analysis to Examine Climate Change Supporters and Opponents

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  • Dallas J. Elgin

Abstract

Hyperlink network analysis, which utilizes the links between websites to map online communication structures, offers an emerging methodology for studying the networks of supporters and opponents of public policies. Reasons for the methodology's appeal include the ability to utilize web crawlers to collect large amounts of data and the ability to apply quantitative and qualitative methods to examine network interactions. While the methodology has been utilized by diverse disciplines it is relatively new to the fields of political science and public policy. Utilizing a mixed-methods research design, this article examines the applicability of using hyperlink networks to study opposing groups in the Colorado climate and energy policy subsystem while drawing increased attention to the methodology's strengths and weaknesses. The results demonstrate the methodology's considerable potential, but highlight the need for greater adoption of a collection of best practices designed to increase the validity, reliability, and generalizability of hyperlink research.

Suggested Citation

  • Dallas J. Elgin, 2015. "Utilizing Hyperlink Network Analysis to Examine Climate Change Supporters and Opponents," Review of Policy Research, Policy Studies Organization, vol. 32(2), pages 226-245, March.
  • Handle: RePEc:bla:revpol:v:32:y:2015:i:2:p:226-245
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    File URL: http://hdl.handle.net/10.1111/ropr.12118
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    Cited by:

    1. Jean-Philippe Berrou & Alain Piveteau & Thibaud Deguilhem & Leo Delpy & Claire Gondard-Delcroix, 2021. "Who Drives if No-one Governs? A Social Network Analysis of Social Protection Policy in Madagascar," Working Papers hal-03180029, HAL.
    2. Jean-Philippe Berrou & Alain Piveteau & Thibaud Deguilhem & Delpy Léo & Claire Gondard-Delcroix, 2020. "Qui pilote si personne ne gouverne ? La politique publique de protection sociale à Madagascar au prisme de l’analyse des réseaux sociaux," Working Papers hal-02918286, HAL.
    3. Xiaoxiao Cheng, 2024. "Networked framing of GMO risks and discussion fragmentation on Chinese social media: a dynamic perspective," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.

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