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• W2741504952 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." @default.
• W2741504952 created "2017-08-08" @default.
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• W2741504952 date "2017-08-02" @default.
• W2741504952 modified "2023-09-23" @default.
• W2741504952 title "How learning aggregates: a social network analysis of learning between Swedish municipalities" @default.
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• W2741504952 doi "https://doi.org/10.1080/03003930.2017.1342626" @default.
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