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Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological Framework

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  • Christensen, Libby O.
  • O'Sullivan, Rita

Abstract

This article presents a methodological approach to studying and evaluating increasingly complex regional food systems. Social network analysis has been used to measure collaborations in health and education and is potentially a tool for regional food systems. The authors demonstrate the methodological advantages of using social network analysis to track changes in collaboration over time, illustrated through a case study of a multitiered, three-year food systems project in North Carolina. There are multiple benefits of using social network analysis; for food systems two of the most useful are its ability to create illuminating visualizations of collaborators, and its ability to use inferential statistics to evaluate significance of changes in food system projects.

Suggested Citation

  • Christensen, Libby O. & O'Sullivan, Rita, 2015. "Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological Framework," Journal of Agriculture, Food Systems, and Community Development, Center for Transformative Action, Cornell University, vol. 5(3).
    • Handle: RePEc:ags:joafsc:359699
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    Cited by:

    1. Khanal, Aditya & Tegegne, Fisseha & Goetz, Stephan & Li, Lan & Han, Yicheol & Tubene, Stephan & Wetherill, Andy, 2020. "Small and Minority Farmers' Knowledge and Resource Sharing Networks, and Farm Sales: Findings from Communities in Tennessee, Maryland, and Delaware," Journal of Agriculture, Food Systems, and Community Development, Center for Transformative Action, Cornell University, vol. 9(3).

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