Case study
Mapping cross-sector collaboration networks between many actors across Danish municipalities
Need
A national philanthropic organisation needed to understand their stakeholder landscape across Danish municipalities, in terms of ties between private companies, public institutions, and civil society actors.
Solution
Based on named-entity recognition across a massive corpus of local documents, including minutes from municipal council meetings, we constructed network graphs to map ties between actors based on co-occurrence in a document. This provided a visual and analytical framework to explore the nature and strength of different types of collaboration across sectors, locally, regionally, and nationally.
Process
The analysis provided new perspectives and inspiration for local politicians, managers, and street-level bureaucrats across the country.
Network analysis · Text-as-data
98
municipalities included
2,000
documents analysed
19,000
individual actors mapped
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