Journal of Medical Signals and Sensors, Volume (11), No (1), Year (2021-1) , Pages (62-65)

Title : ( An Analysis on Top Commented Posts in Reddit Social Network about COVID-19 )

Authors: Khalil Kimiafar , Mehdi Dadkhah , Masoumeh Sarbaz , Mohammad Mehraeen ,

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Abstract

At the moment, people have been quarantined for COVID-19 management. In such a situation, people share their concerns, ideas, questions, etc., through social media more than before. Face-to-face relationships have been replaced with virtual relationships through the Internet. COVID-19 will not be controlled without people\\\\\\\\\\\\\\\'s collaboration with medical personnel, managers, and policy-makers (source: authors\\\\\\\\\\\\\\\' observation). Besides working on the treatment of patients, researching to find the COVID-19 vaccine, etc. It is essential to consider people\\\\\\\\\\\\\\\'s concerns and try to address them for gaining more co-operation from their sides. In this regard, social media mining can help to understand what is on the point of discussion about COVID-19 by the public. By gaining a list of topics, we can plan better for dealing with COVID-19 as the public have a vital role in the prevention of virus dissemination....

Keywords

, COVID-19 management, social network mining, reddit social network , Top Commented Posts
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@article{paperid:1087650,
author = {Khalil Kimiafar and Dadkhah, Mehdi and Masoumeh Sarbaz and Mehraeen, Mohammad},
title = {An Analysis on Top Commented Posts in Reddit Social Network about COVID-19},
journal = {Journal of Medical Signals and Sensors},
year = {2021},
volume = {11},
number = {1},
month = {January},
issn = {2228-7477},
pages = {62--65},
numpages = {3},
keywords = {COVID-19 management; social network mining; reddit social network ; Top Commented Posts},
}

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%0 Journal Article
%T An Analysis on Top Commented Posts in Reddit Social Network about COVID-19
%A Khalil Kimiafar
%A Dadkhah, Mehdi
%A Masoumeh Sarbaz
%A Mehraeen, Mohammad
%J Journal of Medical Signals and Sensors
%@ 2228-7477
%D 2021

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