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 an...
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| Veröffentlicht in: | Complementary medicine research 2012-01, Vol.19 (Suppl 1), p.36-41 |
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| container_end_page | 41 |
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| container_issue | Suppl 1 |
| container_start_page | 36 |
| container_title | Complementary medicine research |
| container_volume | 19 |
| creator | Frantz, Terrill L. |
| description | 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. |
| doi_str_mv | 10.1159/000335189 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 2504-2092 |
| ispartof | Complementary medicine research, 2012-01, Vol.19 (Suppl 1), p.36-41 |
| issn | 2504-2092 2504-2106 1661-4127 |
| language | eng |
| recordid | cdi_pubmed_primary_22327550 |
| source | Karger Journals; MEDLINE; Alma/SFX Local Collection |
| subjects | Complementary Therapies - methods Cooperative Behavior Humans Interdisciplinary Communication Outcome and Process Assessment (Health Care) Philosophy, Medical Research Design Review Article Social Support Systems Theory |
| title | Advancing Complementary and Alternative Medicine through Social Network Analysis and Agent-Based Modeling |
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