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How Learning Aggregates: A Social Network Analysis of Learning between Swedish municipalities
University of California, Berkeley.
Uppsala University, Units outside the University, Office of Labour Market Policy Evaluation.ORCID iD: 0000-0001-7379-9704
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: Local Government Studies, ISSN 0300-3930, E-ISSN 1743-9388, Vol. 43, no 7, p. 903-926Article in journal (Refereed) Published
Abstract [en]

Using a unique data set of learning among all 290 Swedish municipalities, we use social network analysis to analyze how learning networks aggregate nationally. To facilitate this analysis, we describe five ideal-typical patterns of aggregation—core-periphery, small world, top-down regionalism, bottom-up regionalism, and urban hierarchy. Each of these ideal types has important implications for how ideas, information, and innovation will circulate among municipalities. Social network analysis allows us to both isolate these patterns and to appreciate composite patterns. The analysis indicates that Swedish municipalities are a small world network with clear regional and hierarchical elements. County seats serve an important role as network hubs.

Place, publisher, year, edition, pages
2017. Vol. 43, no 7, p. 903-926
Keywords [en]
Local government, Learning, Social Network Analysis, Sweden, Public Administration, Networks
National Category
Social Sciences Political Science (excluding Public Administration Studies and Globalisation Studies)
Research subject
Political Science
Identifiers
URN: urn:nbn:se:uu:diva-323742DOI: 10.1080/03003930.2017.1342626ISI: 000415670500004OAI: oai:DiVA.org:uu-323742DiVA, id: diva2:1107264
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2018-02-22Bibliographically approved

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Lundin, MartinÖberg, PerOla

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