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Using Social Network Analysis to Predict Early Collaboration Within Health Advocacy Coalitions

Author

Listed:
  • Todd C. Honeycutt
  • Debra A. Strong

Abstract

In consumer advocacy coalitions formed to advance health insurance coverage expansions, engaging in united advocacy activities soon after formation might be an important first step to effectively shape policy.

Suggested Citation

  • Todd C. Honeycutt & Debra A. Strong, "undated". "Using Social Network Analysis to Predict Early Collaboration Within Health Advocacy Coalitions," Mathematica Policy Research Reports 214e20bddc3641bd8b03bba2c, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:214e20bddc3641bd8b03bba2ca583748
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    File URL: https://journals.sagepub.com/doi/full/10.1177/1098214011424201
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    Cited by:

    1. Schoen, Martin W. & Moreland-Russell, Sarah & Prewitt, Kim & Carothers, Bobbi J., 2014. "Social network analysis of public health programs to measure partnership," Social Science & Medicine, Elsevier, vol. 123(C), pages 90-95.
    2. Bustos, Tatiana E., 2020. "A scoping review of social network analyses in interorganizational collaboration studies for child mental health," Children and Youth Services Review, Elsevier, vol. 119(C).
    3. Lawlor, Jennifer A. & McGirr, Sara, 2017. "Agent-based modeling as a tool for program design and evaluation," Evaluation and Program Planning, Elsevier, vol. 65(C), pages 131-138.

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