Using Social Networking 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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Main Authors: Libby O. Christensen, Rita O'Sullivan
Format: Article
Language:English
Published: Thomas A. Lyson Center for Civic Agriculture and Food Systems 2016-10-01
Series:Journal of Agriculture, Food Systems, and Community Development
Subjects:
Online Access:https://www.foodsystemsjournal.org/index.php/fsj/article/view/350
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spelling doaj-ce88c410cbbc4c24ab937dea587620f92020-11-25T02:54:40ZengThomas A. Lyson Center for Civic Agriculture and Food SystemsJournal of Agriculture, Food Systems, and Community Development2152-08012016-10-015310.5304/jafscd.2015.053.013350Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological FrameworkLibby O. Christensen0Rita O'Sullivan1University of California, DavisUniversity of North Carolina, Chapel HillThis 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.https://www.foodsystemsjournal.org/index.php/fsj/article/view/350CollaborationEvaluationLocal Food SystemsRegional Food SystemsSocial Network Analysis
collection DOAJ
language English
format Article
sources DOAJ
author Libby O. Christensen
Rita O'Sullivan
spellingShingle Libby O. Christensen
Rita O'Sullivan
Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological Framework
Journal of Agriculture, Food Systems, and Community Development
Collaboration
Evaluation
Local Food Systems
Regional Food Systems
Social Network Analysis
author_facet Libby O. Christensen
Rita O'Sullivan
author_sort Libby O. Christensen
title Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological Framework
title_short Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological Framework
title_full Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological Framework
title_fullStr Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological Framework
title_full_unstemmed Using Social Networking Analysis to Measure Changes in Regional Food Systems Collaboration: A Methodological Framework
title_sort using social networking analysis to measure changes in regional food systems collaboration: a methodological framework
publisher Thomas A. Lyson Center for Civic Agriculture and Food Systems
series Journal of Agriculture, Food Systems, and Community Development
issn 2152-0801
publishDate 2016-10-01
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 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.
topic Collaboration
Evaluation
Local Food Systems
Regional Food Systems
Social Network Analysis
url https://www.foodsystemsjournal.org/index.php/fsj/article/view/350
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