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Simulating network intervention strategies: Implications for adoption of behaviour

Author

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  • BADHAM, JENNIFER
  • KEE, FRANK
  • HUNTER, RUTH F.

Abstract

This study uses simulation over real and artificial networks to compare the eventual adoption outcomes of network interventions, operationalized as idealized contagion processes with different sets of seeds. While the performance depends on the details of both the network and behaviour adoption mechanisms, interventions with seeds that are central to the network are more effective than random selection in the majority of simulations, with faster or more complete adoption throughout the network. These results provide additional theoretical justification for utilizing relevant network information in the design of public health behavior interventions.

Suggested Citation

  • Badham, Jennifer & Kee, Frank & Hunter, Ruth F., 2018. "Simulating network intervention strategies: Implications for adoption of behaviour," Network Science, Cambridge University Press, vol. 6(2), pages 265-280, June.
    • Handle: RePEc:cup:netsci:v:6:y:2018:i:02:p:265-280_00
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    Cited by:

    1. McMillan, Cassie & Schaefer, David R., 2021. "Comparing targeting strategies for network-based adolescent drinking interventions: A simulation approach," Social Science & Medicine, Elsevier, vol. 282(C).
    2. Erik O. Kimbrough & Erin L. Krupka & Rajnish Kumar & Jennifer M. Murray & Abhijit Ramalingam & Sharon Sánchez-Franco & Olga L. Sarmiento & Frank Kee & Ruth F. Hunter, 2024. "On the stability of norms and norm-following propensity: a cross-cultural panel study with adolescents," Experimental Economics, Springer;Economic Science Association, vol. 27(2), pages 351-378, April.

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