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Updated: Apr 12, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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集団の行動変化を最大化するためのソーシャルネットワークターゲティング:クラスターランダム化対照試験

David A Kim1, Alison R Hwong1, Derek Stafford2

  • 1Interfaculty Initiative in Health Policy, Harvard University, Cambridge, MA, USA.

Lancet (London, England)
|May 9, 2015
PubMed
まとめ

ランダムな個人の指名された友人をターゲットにすることで,ランダムなターゲティングと比較して12.2%の健康介入の採用が著しく増加しました. このソーシャル・ネットワーク・ストラテジーは,介入の拡散と住民の健康成果を向上させる.

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