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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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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7004299/ https://ncbi.nlm.nih.gov/pubmed/32027659 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0228421 |
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