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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 ...
- 2017-08-02
- Informa UK Limited,2017
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:uu-323742
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323742URI
- https://doi.org/10.1080/03003930.2017.1342626DOI
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- Language:English
- Summary in:English
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Notes
- 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.
Subject headings and genre
- SAMHÄLLSVETENSKAP Statsvetenskap Statsvetenskap hsv//swe
- SOCIAL SCIENCES Political Science Political Science hsv//eng
- Local government
- Learning
- Social Network Analysis
- Sweden
- Public Administration
- Networks
- Statskunskap
- Political Science
Added entries (persons, corporate bodies, meetings, titles ...)
- Lundin, Martin,1975-Uppsala universitet,Institutet för arbetsmarknadspolitisk utvärdering (IFAU)(Swepub:uu)martilund (author)
- Öberg, PerOla,1961-Uppsala universitet,Statsvetenskapliga institutionen(Swepub:uu)perolaob (author)
- University of California, BerkeleyInstitutet för arbetsmarknadspolitisk utvärdering (IFAU) (creator_code:org_t)
Related titles
- In:Local Government Studies: Informa UK Limited43:7, s. 903-9260300-39301743-9388
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