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How Learning Aggreg...
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Ansell, ChristopherUniversity of California, Berkeley
(author)
How Learning Aggregates : A Social Network Analysis of Learning between Swedish municipalities
- Article/chapterEnglish2017
Publisher, publication year, extent ...
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2017-08-02
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Informa UK Limited,2017
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:uu-323742
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323742URI
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https://doi.org/10.1080/03003930.2017.1342626DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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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.
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Lundin, Martin,1975-Uppsala universitet,Institutet för arbetsmarknadspolitisk utvärdering (IFAU)(Swepub:uu)martilund
(author)
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Öberg, PerOla,1961-Uppsala universitet,Statsvetenskapliga institutionen(Swepub:uu)perolaob
(author)
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University of California, BerkeleyInstitutet för arbetsmarknadspolitisk utvärdering (IFAU)
(creator_code:org_t)
Related titles
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In:Local Government Studies: Informa UK Limited43:7, s. 903-9260300-39301743-9388
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