Journal
SOCIAL NETWORKS
Volume 43, Issue -, Pages 48-56Publisher
ELSEVIER
DOI: 10.1016/j.socnet.2015.03.006
Keywords
Multilevel model; Meta network analysis; Multivariate statistics; Network intervention
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Funding
- Graduate School of Arts and Sciences
- Multidisciplinary Program in Inequality and Social Policy
- Fairbank Center for Chinese Studies
- Institute for Quantitative Social Science at Harvard University
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In this paper, I introduce new methods for multilevel meta network analysis. The new methods can combine results from multiple network models, assess the effects of predictors at network or higher levels and account for both within- and cross-network correlations of the parameters in the network models. To demonstrate the new methods, I studied network dynamics of a smoking prevention intervention that was implemented in 76 classes of six middle schools in China. The results show that as compared to random intervention (i.e., that targets random students), smokers' popularity was significantly reduced in the classes with network interventions (i.e., those target central students or students with their friends together). The findings highlight the importance of examining network outcomes in evaluating social and health interventions, the role of social selection in managing social influence, and the potential of using network methods to design more effective interventions. (C) 2015 Elsevier B.V. All rights reserved.
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