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What Twitter Can Tell Us About #IDWeek2020
We used topic modeling, subjectivity analysis, and social graph theory to analyze 11 944 tweets relating to IDWeek 2020. Twitter is a rich medium that can successfully disseminate knowledge and allow users to engage in social networks during a medical conference, despite a virtual format.
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101626/ https://www.ncbi.nlm.nih.gov/pubmed/33981776 http://dx.doi.org/10.1093/ofid/ofaa621 |
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author | Medford, Richard J Saleh, Sameh N |
author_facet | Medford, Richard J Saleh, Sameh N |
author_sort | Medford, Richard J |
collection | PubMed |
description | We used topic modeling, subjectivity analysis, and social graph theory to analyze 11 944 tweets relating to IDWeek 2020. Twitter is a rich medium that can successfully disseminate knowledge and allow users to engage in social networks during a medical conference, despite a virtual format. |
format | Online Article Text |
id | pubmed-8101626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81016262021-05-11 What Twitter Can Tell Us About #IDWeek2020 Medford, Richard J Saleh, Sameh N Open Forum Infect Dis Brief Report We used topic modeling, subjectivity analysis, and social graph theory to analyze 11 944 tweets relating to IDWeek 2020. Twitter is a rich medium that can successfully disseminate knowledge and allow users to engage in social networks during a medical conference, despite a virtual format. Oxford University Press 2020-12-28 /pmc/articles/PMC8101626/ /pubmed/33981776 http://dx.doi.org/10.1093/ofid/ofaa621 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Report Medford, Richard J Saleh, Sameh N What Twitter Can Tell Us About #IDWeek2020 |
title | What Twitter Can Tell Us About #IDWeek2020 |
title_full | What Twitter Can Tell Us About #IDWeek2020 |
title_fullStr | What Twitter Can Tell Us About #IDWeek2020 |
title_full_unstemmed | What Twitter Can Tell Us About #IDWeek2020 |
title_short | What Twitter Can Tell Us About #IDWeek2020 |
title_sort | what twitter can tell us about #idweek2020 |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101626/ https://www.ncbi.nlm.nih.gov/pubmed/33981776 http://dx.doi.org/10.1093/ofid/ofaa621 |
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