Multidimensional diffusion processes in dynamic online networks

We develop a dynamic matched sample estimation algorithm to distinguish peer influence and homophily effects on item adoption decisions in dynamic networks, with numerous items diffusing simultaneously. We infer preferences using a machine learning algorithm applied to previous adoption decisions, a...

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Detalles Bibliográficos
Autores principales: Easley, David, Patacchini, Eleonora, Rojas, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004299/
https://www.ncbi.nlm.nih.gov/pubmed/32027659
http://dx.doi.org/10.1371/journal.pone.0228421

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004299/
https://www.ncbi.nlm.nih.gov/pubmed/32027659
http://dx.doi.org/10.1371/journal.pone.0228421

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