How learning aggregates: a social network analysis of learning between Swedish municipalities

Christopher Ansell, Martin Lundin and PerOla Öberg

Local Government Studies, 2017, vol. 43, issue 6, 903-926

Abstract: Using a unique data set of learning among all 290 Swedish municipalities, we use social network analysis to analyse 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 regional and hierarchical elements. County seats serve an important role as network hubs.

Date: 2017
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DOI: 10.1080/03003930.2017.1342626

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