Characterizing twitter user topics and communication network dynamics of the "Liberate" movement during COVID-19 using unsupervised machine learning and social network analysis.
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%0 Journal Article
%1 journals/osnm/HauptJLNM21
%A Haupt, Michael Robert
%A Jinich-Diamant, Alex
%A Li, Jiawei
%A Nali, Matthew
%A Mackey, Timothy
%D 2021
%J Online Soc. Networks Media
%K dblp
%P 100114
%T Characterizing twitter user topics and communication network dynamics of the "Liberate" movement during COVID-19 using unsupervised machine learning and social network analysis.
%U http://dblp.uni-trier.de/db/journals/osnm/osnm21.html#HauptJLNM21
%V 21
@article{journals/osnm/HauptJLNM21,
added-at = {2022-10-02T00:00:00.000+0200},
author = {Haupt, Michael Robert and Jinich-Diamant, Alex and Li, Jiawei and Nali, Matthew and Mackey, Timothy},
biburl = {https://www.bibsonomy.org/bibtex/2910e7c49e3be29cc82685e52d073b9be/dblp},
ee = {https://doi.org/10.1016/j.osnem.2020.100114},
interhash = {ce6fcc603fac6b2a87b0cb39eb748b6f},
intrahash = {910e7c49e3be29cc82685e52d073b9be},
journal = {Online Soc. Networks Media},
keywords = {dblp},
pages = 100114,
timestamp = {2024-04-09T06:19:56.000+0200},
title = {Characterizing twitter user topics and communication network dynamics of the "Liberate" movement during COVID-19 using unsupervised machine learning and social network analysis.},
url = {http://dblp.uni-trier.de/db/journals/osnm/osnm21.html#HauptJLNM21},
volume = 21,
year = 2021
}