Title
Predicting adolescent social networks to stop smoking in secondary schools.
Abstract
•Explores individual friendship selection and overall evolution of social networks.•Embeds link prediction methods within an ABS framework.•A new approach to link prediction, PageRank-Max, is proposed.•Highlights the importance of eigen-centrality in adolescent friendship decisions.•Demonstrates benefits of targeted interventions driven by social network analysis.
Year
DOI
Venue
2018
10.1016/j.ejor.2017.07.039
European Journal of Operational Research
Keywords
Field
DocType
OR in health services,Behavioural OR,Social networks,Agent based simulation,Link prediction
Psychological intervention,Social network,Friendship,Public relations,Social network analysis,Smoking cessation,Personal wellbeing,Mathematics,Global health
Journal
Volume
Issue
ISSN
265
1
0377-2217
Citations 
PageRank 
References 
1
0.36
19
Authors
4
Name
Order
Citations
PageRank
Angelico Fetta110.36
Paul R. Harper218818.44
Vincent A. Knight33710.00
Janet E. Williams4212.95