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Core and peripheral organisations in prevention: Insights from social network analysis
Fabian Held1, Penelope Hawe2, Nick Roberts3
1Charles Perkins Centre, D17, University of Sydney, Sydney, NSW, Australia.
Community prevention collaborations often have pre-existing organizational networks. Social network analysis revealed core-periphery structures, where central organizations with prevention expertise dominate. Understanding these power dynamics is key for effective collaboration.
Area of Science:
- Public Health
- Social Network Analysis
- Organizational Studies
Background:
- Formal collaborations for community-level prevention are increasing.
- Assessing pre-existing organizational relationships is crucial for collaboration effectiveness.
- Understanding community network structures can reveal new practice opportunities.
Purpose of the Study:
- To apply social network analysis to map interorganizational relationships in prevention.
- To identify pre-existing network structures among organizations not yet in formal collaborations.
- To understand how these structures impact potential collaboration effectiveness.
Main Methods:
- Social network analysis (SNA) was used to study organizations involved in prevention.
- Whole network analysis methods assessed awareness, contact, coordination, and collaboration intensity.
- Organizations' contributions to local prevention efforts were identified and compared with interviews.
Main Results:
- An identifiable network structure with more relationships than expected by chance was found.
- A core-periphery structure emerged, with highly interconnected organizations (core) and less connected ones (periphery).
- Core organizations were significantly more likely to possess prevention expertise and dedicated staff.
Conclusions:
- Pre-existing core-periphery structures in interorganizational health promotion are identifiable and novel.
- These structures advantage core entities and can become entrenched.
- Findings enable critical reflection on organizational roles in community activation and power structures.
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