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Learning Networks Among Swedish Municipalities: Is Sweden a Small World?
University of California, Berkeley.
Uppsala University, Units outside the University, Office of Labour Market Policy Evaluation.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.ORCID iD: 0000-0002-3522-4966
2017 (English)In: Knowledge and Networks / [ed] Johannes Glückler, Emmanuel Lazega & Ingmar Hammer, Springer International Publishing , 2017, p. 315-336Chapter in book (Refereed)
Abstract [en]

Distributed, networked learning processes are widely touted as a basis for superior performance. Yet we know relatively little about how learning networks operate in the aggregate. We explore this issue by utilizing a unique data set on learning among Swedish municipalities. The data indicate that geographic proximity and county are the basic structuring properties of the global network. Municipalities learn from their near neighbors, especially from neighbors in the same county, and these two principles produce a high degree of local clustering in the municipal learning networks. At the same time, we also find evidence that Swedish municipalities are a small world linked together on a national basis. Two mechanisms knit the Swedish municipalities together. First, county seats serve as hubs that link local clusters together. Second, local clusters aggregate into regional clusters. Despite a high degree of local clustering, hubs and regions provide a structural basis for the national diffusion of policy ideas and practices among Swedish municipalities.

Place, publisher, year, edition, pages
Springer International Publishing , 2017. p. 315-336
Series
Knowledge and Space, ISSN 1877-9220 ; 11
Keyword [en]
Learning, Social networks, Local government, Municipalities, Counties, Sweden, Small-world networks, Regionalism, Hubs, Markov clustering, Proximity Girvan-Newman, Community structure
National Category
Social Sciences
Research subject
Political Science
Identifiers
URN: urn:nbn:se:uu:diva-313445DOI: 10.1007/978-3-319-45023-0_15ISBN: 978-3-319-45022-3 (print)ISBN: 978-3-319-45023-0 (electronic)OAI: oai:DiVA.org:uu-313445DiVA, id: diva2:1067020
Available from: 2017-01-19 Created: 2017-01-19 Last updated: 2017-01-19Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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