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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Thomas A. Lyson Center for Civic Agriculture and Food Systems
2016-10-01
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Online Access: | https://www.foodsystemsjournal.org/index.php/fsj/article/view/350 |
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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 |
work_keys_str_mv |
AT libbyochristensen usingsocialnetworkinganalysistomeasurechangesinregionalfoodsystemscollaborationamethodologicalframework AT ritaosullivan usingsocialnetworkinganalysistomeasurechangesinregionalfoodsystemscollaborationamethodologicalframework |
_version_ |
1724719561599614976 |