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Diffusion of innovations in dynamic networks
Author(s) -
Greenan Charlotte C.
Publication year - 2015
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/rssa.12054
Subject(s) - estimator , diffusion , extension (predicate logic) , set (abstract data type) , mathematics , computer science , econometrics , mathematical economics , statistics , physics , thermodynamics , programming language
Summary The evolution of a dynamic social network and the diffusion of an innovation are jointly modelled, dependent on one another, by using an extension of a stochastic actor‐oriented model developed by Snijders, which is modified so that the adoption times follow a proportional hazards model. The asymptotic behaviour of the method‐of‐moments estimator is examined. The model is demonstrated on a data set involving the initiation of cannabis smoking among adolescents, and a simulation study is presented.