Simulating network intervention strategies: Implications for adoption of behaviour

Jennifer Badham, Frank Kee, Ruth F Hunter

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
242 Downloads (Pure)

Abstract

This study uses simulation over real and artificial networks to compare the eventual adoption outcomes of network interventions, operationalised as idealised contagion processes with different sets of seeds. While the performance depends on the details of both the network and behaviour adoption mechanism, 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 behaviour interventions.
Original languageEnglish
Pages (from-to)265-280
Number of pages16
JournalNetwork Science
Volume6
Issue number2
Early online date16 May 2018
Publication statusPublished - Jun 2018

Keywords

  • Network interventions
  • agent-based modelling

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