Using the structure of social networks to map inter-agency relationships in public health services
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DOI: 10.1016/j.socscimed.2015.10.002
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- Lewis, Jenny M. & Baeza, Juan I. & Alexander, Damon, 2008. "Partnerships in primary care in Australia: Network structure, dynamics and sustainability," Social Science & Medicine, Elsevier, vol. 67(2), pages 280-291, July.
- Mark S. Handcock & Adrian E. Raftery & Jeremy M. Tantrum, 2007. "Model‐based clustering for social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 301-354, March.
- Provan, Keith G. & Leischow, Scott J. & Keagy, Judith & Nodora, Jesse, 2010. "Research collaboration in the discovery, development, and delivery networks of a statewide cancer coalition," Evaluation and Program Planning, Elsevier, vol. 33(4), pages 349-355, November.
- Clark, Alexander M., 2013. "What are the components of complex interventions in healthcare? Theorizing approaches to parts, powers and the whole intervention," Social Science & Medicine, Elsevier, vol. 93(C), pages 185-193.
- Lanham, Holly Jordan & Leykum, Luci K. & Taylor, Barbara S. & McCannon, C. Joseph & Lindberg, Curt & Lester, Richard T., 2013. "How complexity science can inform scale-up and spread in health care: Understanding the role of self-organization in variation across local contexts," Social Science & Medicine, Elsevier, vol. 93(C), pages 194-202.
- Hoff P.D. & Raftery A.E. & Handcock M.S., 2002. "Latent Space Approaches to Social Network Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1090-1098, December.
- Salter-Townshend, Michael & Murphy, Thomas Brendan, 2013. "Variational Bayesian inference for the Latent Position Cluster Model for network data," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 661-671.
- Amin, Ash & Roberts, Joanne, 2008. "Knowing in action: Beyond communities of practice," Research Policy, Elsevier, vol. 37(2), pages 353-369, March.
- Trenholm, Susan & Ferlie, Ewan, 2013. "Using complexity theory to analyse the organisational response to resurgent tuberculosis across London," Social Science & Medicine, Elsevier, vol. 93(C), pages 229-237.
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Cited by:
- Tobias Fleuren & Ansgar Thiel & Annika Frahsa, 2021. "Identification of Network Promoters in a Regional and Intersectoral Health Promotion Network: A Qualitative Social Network Analysis in Southern Germany," IJERPH, MDPI, vol. 18(16), pages 1-15, August.
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Keywords
Informal networks; Relationships; Latent position cluster network model;All these keywords.
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