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Advancing complementary and alternative medicine through social network analysis and agent-based modeling

Forsch Komplementmed. 2012:19 Suppl 1:36-41. doi: 10.1159/000335189. Epub 2012 Jan 20.

Abstract

This paper introduces the contemporary perspectives and techniques of social network analysis (SNA) and agent-based modeling (ABM) and advocates applying them to advance various aspects of complementary and alternative medicine (CAM). SNA and ABM are invaluable methods for representing, analyzing and projecting complex, relational, social phenomena; they provide both an insightful vantage point and a set of analytic tools that can be useful in a wide range of contexts. Applying these methods in the CAM context can aid the ongoing advances in the CAM field, in both its scientific aspects and in developing broader acceptance in associated stakeholder communities.

Publication types

  • Review

MeSH terms

  • Complementary Therapies / methods*
  • Cooperative Behavior
  • Humans
  • Interdisciplinary Communication
  • Outcome and Process Assessment, Health Care
  • Philosophy, Medical*
  • Research Design
  • Social Support*
  • Systems Theory*