Using social network analysis to measure changes in regional food systems collaboration: A methodological framework
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 methodologic...
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Veröffentlicht in: | Journal of agriculture, food systems, and community development food systems, and community development, 2015-03, Vol.5 (3), p.113 |
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container_title | Journal of agriculture, food systems, and community development |
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creator | Christensen, Libby O O'Sullivan, Rita |
description | 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 multi-tiered, 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. |
doi_str_mv | 10.5304/jafscd.2015.053.013 |
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subjects | Collaboration Food Local food systems Network analysis Regional analysis Social network analysis Social networks Social organization Statistical analysis Systems analysis Traditional foods |
title | Using social network analysis to measure changes in regional food systems collaboration: A methodological framework |
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