How Learning Aggregates : A Social Network Analysis of Learning between Swedish municipalities

• 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.

Ämnesord

SAMHÄLLSVETENSKAP  -- Statsvetenskap -- Statsvetenskap (hsv//swe)

SOCIAL SCIENCES  -- Political Science -- Political Science (hsv//eng)

Nyckelord

Local government

Learning

Social Network Analysis

Sweden

Public Administration

Networks

Statskunskap

Political Science

Publikations- och innehållstyp

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