Advancing complementary and alternative medicine through social network analysis and agent-based modeling.
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.
HSBC Business School, Peking University, Shenzhen, People's Republic of China. terrill@phbs.pku.edu.cn
Terrill L
TL
Frantz
D000529:Complementary Therapies / Q000379:methods*; D003299:Cooperative Behavior; D006801:Humans; D033183:Interdisciplinary Communication; D010043:Outcome and Process Assessment, Health Care; D010686:Philosophy, Medical; D012107:Research Design; D012944:Social Support; D013598:Systems Theory