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Related Concept Videos

Nursing Interventions I: Taxonomy of Nursing Interventions01:03

Nursing Interventions I: Taxonomy of Nursing Interventions

Nursing interventions are chosen as part of the planning process to achieve patient outcomes. Once nursing diagnoses are determined, the goals and outcomes are specified, then the nursing interventions are selected and individualized according to the patient's situation.
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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Network interventions.

Thomas W Valente1

  • 1Institute for Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90034, USA. tvalente@usc.edu

Science (New York, N.Y.)
|July 7, 2012
PubMed
Summary
This summary is machine-generated.

Network interventions leverage social network data to drive behavior change and enhance organizational performance. Choosing the right strategy depends on data, behavior, and social context.

Related Experiment Videos

Last Updated: May 20, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Area of Science:

  • Social network analysis
  • Behavioral science
  • Organizational psychology

Background:

  • Social network interventions utilize network data to influence behavior and performance.
  • A variety of strategies and tactics exist for implementing these interventions.
  • Mathematical algorithms can be integrated into intervention tactics.

Purpose of the Study:

  • To review and describe four primary strategies for network interventions.
  • To highlight the tactical alternatives and mathematical algorithms available for researchers.
  • To provide guidance on selecting appropriate network interventions based on contextual factors.

Main Methods:

  • Review of existing literature on network interventions.
  • Categorization of intervention strategies and tactics.
  • Analysis of factors influencing intervention selection.

Main Results:

  • Four distinct strategies for network interventions were identified and described.
  • Numerous tactical options and mathematical algorithms can be employed within these strategies.
  • Intervention effectiveness is contingent upon data characteristics, behavior traits, prevalence, and social context.

Conclusions:

  • Researchers have a wide array of choices for designing network interventions.
  • Effective selection requires careful consideration of network data, behavioral attributes, and the social environment.
  • Optimizing network interventions necessitates a tailored approach based on specific project parameters.