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10.3390/ijerph17218235 http://scihub22266oqcxt.onion/10.3390/ijerph17218235 33171843!7664625!33171843     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Environ+Res+Public+Health 2020 ; 17 (21): ä Nephropedia Template TP {{tp|p=33171843|t=2020. A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic |pdf=|usr=}}{{33171843}} gab.com Text A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33171843 #FOAvip BACKGROUND: High compliance in wearing a mask is a crucial factor for stopping the transmission of COVID-19. Since the beginning of the pandemic, social media has been a key communication channel for citizens. This study focused on analyzing content from Twitter related to masks during the COVID-19 pandemic. METHODS: Twitter data were collected using the keyword "mask" from 27 June 2020 to 4 July 2020. The total number of tweets gathered were n = 452,430. A systematic random sample of 1% (n = 4525) of tweets was analyzed using social network analysis. NodeXL (Social Media Research Foundation, California, CA, USA) was used to identify users ranked influential by betweenness centrality and was used to identify key hashtags and content. RESULTS: The overall shape of the network resembled a community network because there was a range of users conversing amongst each other in different clusters. It was found that a range of accounts were influential and/or mentioned within the network. These ranged from ordinary citizens, politicians, and popular culture figures. The most common theme and popular hashtags to emerge from the data encouraged the public to wear masks. CONCLUSION: Towards the end of June 2020, Twitter was utilized by the public to encourage others to wear masks and discussions around masks included a wide range of users. Twit Text FOAVip A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33171843 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33171843 #FOAvip English Wikipedia <ref>{{Cite pmid|33171843}}</ref> A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic #MMPMID33171843 Ahmed W; Vidal-Alaball J; Lopez Segui F; Moreno-Sanchez PA Int J Environ Res Public Health 2020[Nov]; 17 (21): ä PMID33171843show ga BACKGROUND: High compliance in wearing a mask is a crucial factor for stopping the transmission of COVID-19. Since the beginning of the pandemic, social media has been a key communication channel for citizens. This study focused on analyzing content from Twitter related to masks during the COVID-19 pandemic. METHODS: Twitter data were collected using the keyword "mask" from 27 June 2020 to 4 July 2020. The total number of tweets gathered were n = 452,430. A systematic random sample of 1% (n = 4525) of tweets was analyzed using social network analysis. NodeXL (Social Media Research Foundation, California, CA, USA) was used to identify users ranked influential by betweenness centrality and was used to identify key hashtags and content. RESULTS: The overall shape of the network resembled a community network because there was a range of users conversing amongst each other in different clusters. It was found that a range of accounts were influential and/or mentioned within the network. These ranged from ordinary citizens, politicians, and popular culture figures. The most common theme and popular hashtags to emerge from the data encouraged the public to wear masks. CONCLUSION: Towards the end of June 2020, Twitter was utilized by the public to encourage others to wear masks and discussions around masks included a wide range of users. |*Coronavirus Infections/prevention & control[MESH] |*Masks[MESH] |*Pandemics/prevention & control[MESH] |*Pneumonia, Viral/prevention & control[MESH] |*Social Media[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Humans[MESH] |Public Health[MESH] |SARS-CoV-2[MESH]A Social Network Analysis of Tweets Related to Masks during the COVID-(epmc).pdf DeepDyve Pubget Overpricing