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Cited by 15Organic Food and AgricultureSocial Capital and NetworksComplex Network Analysis Techniques

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Using social network analysis to understand and enhance local and regional food systems

Rocker, Sarah, Kropczynski, Jess, Hinrichs, Clare·2022·Food Systems Modelling
DOI 10.1016/b978-0-12-822112-9.00015-1
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Research works printed but not linked: 33

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Metadata

Authors
Rocker, S., Kropczynski, J., & Hinrichs, C.
Affiliations
  • Pennsylvania State University (US)
  • University of Cincinnati (US)
ORCID
Venue
Food Systems Modelling
Publisher
Elsevier
Published
2022
Pages
231-256
DOI
10.1016/b978-0-12-822112-9.00015-1
OpenAlex
W4205178806
Cited by
15
References
0
Citations by year
2026: 5 · 2025: 4 · 2024: 2 · 2023: 1 · 2022: 3
FWCI
4.44
Type
book chapter
Language
en
Open access
closed
Licence
Locations
Elsevier eBooks (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Organic Food and Agriculture
  • Social Sciences › Sociology and Political Science › Social Capital and Networks
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
social network analysis, local food systems, regional food systems, food system actors, relational dynamics, social networks, collaboration, information sharing

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CoChat. (2026). Citation check: Using social network analysis to understand and enhance local and regional food systems. https://app.cochat.ai/papers/10.1016/b978-0-12-822112-9.00015-1
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Rocker, S., Kropczynski, J., & Hinrichs, C. (2022). Using social network analysis to understand and enhance local and regional food systems. Food Systems Modelling. https://doi.org/10.1016/b978-0-12-822112-9.00015-1