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Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users

Large shifts in medical, recreational, and illicit cannabis consumption in the United States have implications for personalizing treatment and prevention programs to a wide variety of populations. As such, considerable research has investigated clinical presentations of cannabis users in clinical an...

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Detalles Bibliográficos
Autores principales: Baumgartner, Peter, Peiper, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462814/
https://www.ncbi.nlm.nih.gov/pubmed/28615950
http://dx.doi.org/10.1177/1178221817711425
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author Baumgartner, Peter
Peiper, Nicholas
author_facet Baumgartner, Peter
Peiper, Nicholas
author_sort Baumgartner, Peter
collection PubMed
description Large shifts in medical, recreational, and illicit cannabis consumption in the United States have implications for personalizing treatment and prevention programs to a wide variety of populations. As such, considerable research has investigated clinical presentations of cannabis users in clinical and population-based samples. Studies leveraging big data, social media, and social network analysis have emerged as a promising mechanism to generate timely insights that can inform treatment and prevention research. This study extends a novel method called stochastic block modeling to derive communities of cannabis consumers as part of a complex social network on Twitter. A set of examples illustrate how this method can ascertain candidate samples of medical, recreational, and illicit cannabis users. Implications for research planning, intervention design, and public health surveillance are discussed.
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spelling pubmed-54628142017-06-14 Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users Baumgartner, Peter Peiper, Nicholas Subst Abuse Original Research Large shifts in medical, recreational, and illicit cannabis consumption in the United States have implications for personalizing treatment and prevention programs to a wide variety of populations. As such, considerable research has investigated clinical presentations of cannabis users in clinical and population-based samples. Studies leveraging big data, social media, and social network analysis have emerged as a promising mechanism to generate timely insights that can inform treatment and prevention research. This study extends a novel method called stochastic block modeling to derive communities of cannabis consumers as part of a complex social network on Twitter. A set of examples illustrate how this method can ascertain candidate samples of medical, recreational, and illicit cannabis users. Implications for research planning, intervention design, and public health surveillance are discussed. SAGE Publications 2017-06-06 /pmc/articles/PMC5462814/ /pubmed/28615950 http://dx.doi.org/10.1177/1178221817711425 Text en © The Author(s) 2017 This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Baumgartner, Peter
Peiper, Nicholas
Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users
title Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users
title_full Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users
title_fullStr Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users
title_full_unstemmed Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users
title_short Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users
title_sort utilizing big data and twitter to discover emergent online communities of cannabis users
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462814/
https://www.ncbi.nlm.nih.gov/pubmed/28615950
http://dx.doi.org/10.1177/1178221817711425
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