NCoV, Twitter, 5/29/2020 4:55:02 PM, 228482


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NCoV_2020-05-29_01-36-01.xlsx
NCoV_2020-05-29_01-36-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 29, 2020
Short Description:
NCoV via NodeXL https://bit.ly/3eICMcH
@cdcgov
@erictopol
@maddowblog
@jeffmason1
@realdonaldtrump
@korbelrenokia
@jeanbirch1001
@who
@science_vote
@starrprospect

Top hashtags:
#covid19
#noscuidamostodos
#coronavirus
#新型コロナウイルス
#covid2019
#asthma
#covidview
#ワンチーム茨城

Description:
Description
The graph represents a network of 5,469 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 May 2020 at 08:37 UTC.

The requested start date was Friday, 29 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 1-day, 10-hour, 36-minute period from Wednesday, 27 May 2020 at 01:44 UTC to Thursday, 28 May 2020 at 12:21 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 5469
Unique Edges : 2588
Edges With Duplicates : 7961
Total Edges : 10549
Number of Edge Types : 5
Retweet : 3655
MentionsInRetweet : 4226
Tweet : 995
Replies to : 523
Mentions : 1150
Self-Loops : 1033
Reciprocated Vertex Pair Ratio : 0.00469307302421626
Reciprocated Edge Ratio : 0.0093423019431988
Connected Components : 915
Single-Vertex Connected Components : 392
Maximum Vertices in a Connected Component : 2696
Maximum Edges in a Connected Component : 6352
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.973943
Graph Density : 0.000178969768153895
Modularity : 0.516161
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 5,469 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 May 2020 at 08:37 UTC.

The requested start date was Friday, 29 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 1-day, 10-hour, 36-minute period from Wednesday, 27 May 2020 at 01:44 UTC to Thursday, 28 May 2020 at 12:21 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : NCoV
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[284] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[174] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[111] https://www.cnn.com/2020/05/26/health/antibody-tests-cdc-coronavirus-wrong/index.html
[102] https://www.cdc.gov/coronavirus/2019-ncov/lab/resources/antibody-tests-guidelines.html
[92] https://web.archive.org/web/20200524001717/https://www.cdc.gov/coronavirus/2019-ncov/php/faith-based.html
[81] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[68] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[59] https://twitter.com/atrupar/status/1265389117824815104
[43] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[40] https://espanol.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html

Top URLs in Tweet in G1:
[23] https://espanol.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[18] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[16] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/essential-goods-services.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/lab/resources/antibody-tests-guidelines.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/travelers/travel-in-the-us.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html

Top URLs in Tweet in G2:
[25] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[22] https://www.cdc.gov/coronavirus/2019-ncov/lab/resources/antibody-tests-guidelines.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios-h.pdf
[4] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[4] https://www.city.machida.tokyo.jp/iryo/hokenjo/news/about-2019-ncov/number_of_infected.html
[4] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

Top URLs in Tweet in G3:
[238] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[59] https://twitter.com/atrupar/status/1265389117824815104
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html

Top URLs in Tweet in G4:
[5] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments
[1] http://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/novel-coronavirus-2019-ncov-technical-guidance/coronavirus-disease-covid-19-outbreak-technical-guidance-europe/alcohol-and-covid-19-what-you-need-to-know
[1] https://www.who.int/publications-detail/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak
[1] https://twitter.com/sandalista1789/status/1265675754760572938
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/disposition-hospitalized-patients.html
[1] https://www.mass.gov/resource/information-on-the-outbreak-of-coronavirus-disease-2019-covid-19
[1] https://www.cdc.gov/coronavirus/2019-nCoV/summary.html
[1] https://www.hbku.edu.qa/en/data-science-covid-19
[1] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-324333
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200130-sitrep-10-ncov.pdf

Top URLs in Tweet in G5:
[12] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fabout%2Findex.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/testing-in-us.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-faq.html
[2] https://www.nih.gov/news-events/news-releases/investigational-chadox1-ncov-19-vaccine-protects-monkeys-against-covid-19-pneumonia?utm_source=dlvr.it&utm_medium=twitter
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html

Top URLs in Tweet in G6:
[108] https://www.cnn.com/2020/05/26/health/antibody-tests-cdc-coronavirus-wrong/index.html
[9] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/louisiana-covid-19/826552-louisiana-38-497-positive-cases-of-covid-19-2-722-deaths/page16#post864821
[5] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/italy-2019-ncov/826208-italy-covid-19-231139-cases-33072-deaths/page25#post864779
[3] https://cell.com/2019-nCOV
[3] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/switzerland-covid-19/864814-switzerland-is-the-first-to-use-apple-google-coronavirus-contact-tracing-technology
[3] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/brazil-covid-19/825769-brazil-covid-19-cases-394-507-cases-and-24-593-deaths/page15#post864494
[3] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/florida-covid-19/832902-florida-covid-19-cases-52-255-cases-and-2-259-deaths/page13#post864356
[2] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/china-2019-ncov/864790-china-officials-deny-contact-tracing-broken-in-jilin-city-jilin-province-may-25-2020
[2] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/georgia-covid-19-aa/833182-georgia-covid-19-cases-43-983-cases-1-895-deaths/page13#post864343
[2] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/virginia-covid-19/825032-virginia-covid-19-cases-39-342-cases-1-236-deaths/page8#post864342

Top URLs in Tweet in G7:
[88] https://web.archive.org/web/20200524001717/https://www.cdc.gov/coronavirus/2019-ncov/php/faith-based.html
[1] https://web.archive.org/web/20200522192931/https://www.cdc.gov/coronavirus/2019-ncov/php/faith-based.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html

Top URLs in Tweet in G8:
[12] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/nursing-homes-responding.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[1] https://twitter.com/NYGovCuomo/status/1265773659907674113
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html#:~:text=In%20light%20of%20this%20new,community%2Dbased%20transmission
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/essential-goods-services.html

Top URLs in Tweet in G9:
[73] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] http://www.nakayama-co.jp/2020/05/27/mebright-sars-cov-2-kit/

Top URLs in Tweet in G10:
[3] https://web.archive.org/web/20200524001717/https://www.cdc.gov/coronavirus/2019-ncov/php/faith-based.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/resources.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/contact-tracing.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/special-considerations.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/outbreaks.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/when-to-investigate.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/training-investigators.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/scaling-staff.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/digital-contact-tracing-tools.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/overview.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1305] cdc.gov
[140] twitter.com
[128] cnn.com
[104] gob.es
[94] archive.org
[87] ibaraki.jp
[61] gencat.cat
[46] flutrackers.com
[45] who.int
[37] bit.ly

Top Domains in Tweet in G1:
[207] cdc.gov
[23] bit.ly
[4] usa.gov
[3] twitter.com
[2] ow.ly
[1] radian6.com
[1] go.jp
[1] paper.li
[1] who.int
[1] cnn.com

Top Domains in Tweet in G2:
[168] cdc.gov
[29] twitter.com
[21] lg.jp
[19] nytimes.com
[12] gob.es
[9] gencat.cat
[8] ibaraki.jp
[8] who.int
[8] go.kr
[6] arcgis.com

Top Domains in Tweet in G3:
[239] cdc.gov
[59] twitter.com

Top Domains in Tweet in G4:
[9] who.int
[2] cdc.gov
[1] twitter.com
[1] mass.gov
[1] edu.qa
[1] bvsalud.org
[1] tweetedtimes.com
[1] nextstrain.org

Top Domains in Tweet in G5:
[41] cdc.gov
[4] twitter.com
[2] nih.gov
[1] conservativereview.com
[1] apnews.com
[1] youtube.com
[1] arcgis.com
[1] who.int
[1] foxnews.com

Top Domains in Tweet in G6:
[108] cnn.com
[45] flutrackers.com
[3] bit.ly
[3] cell.com
[2] cdc.gov

Top Domains in Tweet in G7:
[89] archive.org
[1] cdc.gov

Top Domains in Tweet in G8:
[35] cdc.gov
[1] twitter.com
[1] who.int

Top Domains in Tweet in G9:
[73] ibaraki.jp
[1] nakayama-co.jp

Top Domains in Tweet in G10:
[52] cdc.gov
[3] archive.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1282] covid19
[188] noscuidamostodos
[166] coronavirus
[152] 新型コロナウイルス
[76] covid2019
[76] asthma
[70] covidview
[69] ワンチーム茨城
[60] cdc
[49] faucihero



Top Hashtags in Tweet in G1:
[683] covid19
[73] asthma
[68] covidview
[65] noscuidamostodos
[45] memorialday
[39] mentalhealthmonth
[38] parents
[18] aecuadorlosacamostodos
[15] covid
[9] firefighters

Top Hashtags in Tweet in G2:
[44] covid19
[27] coronavirus
[17] ncov
[13] covid
[8] corona
[6] cdc
[6] covid_19
[5] chinavirus
[5] wuhanvirus
[4] 2019ncov

Top Hashtags in Tweet in G4:
[4] hydroxycloroquine
[4] chloroquine
[3] covid_19
[3] hydroxychloroquine
[2] coronavirus
[2] wuhan
[2] china
[2] covid19
[1] qcri
[1] hygiene

Top Hashtags in Tweet in G5:
[2] covid19
[2] hadenough
[2] wethepeople
[2] wakeup
[1] icantbreathe
[1] endphases
[1] endgating
[1] firefauci
[1] fail
[1] fakenumbers

Top Hashtags in Tweet in G6:
[120] covid19
[46] coronavirus
[9] sarscov2
[5] cryoem
[2] hace2
[2] infection
[2] antiviral
[2] inflammatory
[2] cytokine
[1] symptoms

Top Hashtags in Tweet in G8:
[5] covid19

Top Hashtags in Tweet in G9:
[150] 新型コロナウイルス
[69] ワンチーム茨城

Top Hashtags in Tweet in G10:
[49] faucihero

Top Words
Top Words in Tweet in Entire Graph:
[] Top Word Pairs in Tweet in Entire Graph
[] Entire Graph Count
[] Top Word Pairs in Tweet in G1

Top Words in Tweet in G1:
[698] cdcgov
[683] #covid19
[314] more
[284] covid
[283] 19
[232] cdc
[215] tribal
[196] people
[195] spread
[182] travel

Top Words in Tweet in G2:
[192] ncov
[89] coronavirus
[78] 19
[71] 2019
[71] cdc
[70] covid
[44] #covid19
[39] cases
[35] 2020
[32] sa

Top Words in Tweet in G3:
[239] cdc
[238] here's
[238] link
[238] guidelines
[237] jeffmason1
[2] better
[2] hospitals

Top Words in Tweet in G4:
[240] human
[121] found
[120] investigations
[120] conducted
[120] chinese
[120] authorities
[120] clear
[120] evidence
[120] transmission
[119] preliminary

Top Words in Tweet in G5:
[33] cdc
[32] realdonaldtrump
[14] report
[12] rate
[11] covid19
[11] cases
[9] ncov
[9] infection
[9] mortality
[9] deaths

Top Words in Tweet in G6:
[120] #covid19
[110] tests
[109] wrong
[109] bad
[108] antibody
[108] half
[108] time
[108] cnn
[108] maggiemfox
[108] well

Top Words in Tweet in G7:
[187] starrprospect
[102] covid
[101] act
[101] singing
[101] contribute
[101] transmission
[101] 19
[101] possibly
[101] emission
[101] aerosols

Top Words in Tweet in G8:
[36] cdc
[17] joebiden
[14] govmurphy
[13] covid
[11] ny
[11] nj
[10] residents
[10] nygovcuomo
[10] guidelines
[8] according

Top Words in Tweet in G9:
[150] #新型コロナウイルス
[150] 感染症情報
[149] 県ホームページでご確認ください
[148] 県内で新たな新型コロナウイルス感染症患者は確認されませんでした
[146] ibaraki_kouhou
[146] 本日も
[146] 詳しくは
[81] また
[79] 5月27日
[79] pcr検査の結果

Top Words in Tweet in G10:
[228] iga
[114] until
[114] more
[114] information
[114] available
[114] dynamics
[114] detection
[114] serum
[114] testing
[114] antibodies

Top Word Pairs
Top Word Pairs in Tweet in G2:
[282] 2019,ncov
[151] covid,19
[137] coronavirus,2019
[136] life,without
[133] without,ncov
[132] york,times
[131] miss,life
[130] coronavirus,covid
[130] nyt,york
[130] contact,tracing

Top Word Pairs in Tweet in G3:
[63] here's,link
[62] link,cdc
[41] cdc,guidelines
[15] jeffmason1,here's

Top Word Pairs in Tweet in G4:
[238] investigations,conducted
[238] conducted,chinese
[238] chinese,authorities
[237] authorities,found
[] found,clear
[] clear,evidence
[] evidence,human
[] human,human
[] human,transmission
[] preliminary,investigations

Top Word Pairs in Tweet in G5:
[120] cdc,report
[120] realdonaldtrump,cdc
[120] report,reveals
[120] reveals,covid19
[120] covid19,infection
[120] infection,mortality
[120] mortality,rate
[120] rate,13
[120] 13,times
[119] times,lower

Top Word Pairs in Tweet in G6:
[9] antibody,tests
[9] tests,#covid19
[7] #covid19,wrong
[7] wrong,half
[7] half,time
[7] time,cnn
[7] cnn,maggiemfox
[7] maggiemfox,well
[7] well,bad
[7] erictopol,antibody

Top Word Pairs in Tweet in G7:
[108] act,singing
[108] singing,contribute
[108] contribute,transmission
[108] transmission,covid
[108] covid,19
[108] 19,possibly
[108] possibly,emission
[108] emission,aerosols
[108] starrprospect,act
[107] saturday,those

Top Word Pairs in Tweet in G8:
[101] ny,nj
[101] nj,residents
[101] cdc,guidelines
[101] covid,19
[101] residents,population
[101] population,ny
[101] residents,41
[101] 41,#covid19
[100] #covid19,deaths
[88] jan_dew,whealyiv

Top Word Pairs in Tweet in G9:
[11] #新型コロナウイルス,感染症情報
[10] ibaraki_kouhou,#新型コロナウイルス
[10] 本日も,県内で新たな新型コロナウイルス感染症患者は確認されませんでした
[8] 詳しくは,県ホームページでご確認ください
[5] 県内で新たな新型コロナウイルス感染症患者は確認されませんでした,また
[5] 感染症情報,5月27日
[5] 5月27日,本日も
[5] また,pcr検査の結果
[5] pcr検査の結果,自宅療養中の2名の陰性化が確認されました
[5] 自宅療養中の2名の陰性化が確認されました,詳しくは

Top Word Pairs in Tweet in G10:
[150] until,more
[146] more,information
[146] information,available
[146] available,dynamics
[81] dynamics,iga
[79] iga,detection
[79] detection,serum
[79] serum,testing
[79] testing,iga
[79] iga,antibodies

Top Replied-To
Top Replied-To in Entire Graph:
@realdonaldtrump
@abc13houston
@ancalerts
@ncov_l
@repadamschiff
@ncov_madeinch
@iw_cj2
@piersmorgan
@agneswold
@twittersupport

Top Replied-To in G1:
@cdcgov
@cdctravel
@ncdcgov
@bungerkcbsradio
@shawnmatianesq
@abubinmusa123
@reploudermilk
@murraymeetze
@maximerichard24
@ronaldklain

Top Replied-To in G3:
@_k_id_a_

Top Replied-To in G4:
@ahmadfz1
@abcaustralia_id
@panca66
@innerfatbugs
@csiro
@espejopublico
@carmenrvf

Top Replied-To in G5:
@realdonaldtrump
@politicsmichael
@edensgardenof
@katnicholson7
@eugenegu
@kdaudt
@cmnelsonphoto
@acyn
@powersparty
@patriot11203979

Top Replied-To in G8:
@joebiden
@graeberdebby
@midalia93
@davidmweissman
@shawninarizona
@sallydeal4
@deadgoth95
@lizzienynp
@kismets_pawn
@natbornpuller

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@jeffmason1
@starrprospect
@cdctravel
@ibaraki_kouhou
@who
@cdcdirector
@maddowblog
@cnn
@maggiemfox

Top Mentioned in G1:
@cdcgov
@cdctravel
@cdcdirector
@cdc_dash
@niosh
@cdcemergency
@surgeon_general
@hhsgov
@helenbranswell
@bancocentral_ec

Top Mentioned in G2:
@drastichs
@albertfiorino
@pardeton
@7thclouds
@nicoleschoice1
@notiactual
@asdrubal1963
@whitelavender10

Top Mentioned in G3:
@jeffmason1
@tobymorton
@mattgaetz

Top Mentioned in G4:
@who
@sandalista1789
@senwarren
@massdph
@jesusdelaosa
@didierpittet
@uk_aha
@asroel_boz
@agussari
@abcaustralia

Top Mentioned in G5:
@realdonaldtrump
@cdcgov
@nikolovscience
@whitehouse
@potus
@cdc
@kathygriffin
@nytimes
@lghtworker
@secupp

Top Mentioned in G6:
@cnn
@maggiemfox
@erictopol
@flutrackers
@ronankelly13
@cellcellpress
@cdcgov
@gertvanderhoek
@cellpressnews

Top Mentioned in G7:
@starrprospect
@jeffmason1

Top Mentioned in G8:
@joebiden
@nygovcuomo
@govmurphy
@jan_dew
@whealyiv
@liz_wheeler
@martina
@govsisolak
@reaganbattalion
@glassforsenate

Top Mentioned in G9:
@ibaraki_kouhou
@blurmyu

Top Mentioned in G10:
@maddowblog
@notcomey
@starrprospect

Top Tweeters
Top Tweeters in Entire Graph:
@missb62
@oldlady12345
@tokoroten510
@federicoalves
@robre62
@lopezgovlaw
@inabster
@syatekiya072
@cherokeesher2
@becaes_

Top Tweeters in G1:
@federicoalves
@bkindngood
@bellesapepper37
@greeeneyedwhwom
@eddarrell
@brontyman
@gpwriter
@fight4freedom72
@morgfair
@kaylamarie413

Top Tweeters in G2:
@schestowitz
@toicitiesnews
@7thclouds
@jp_kenchan_dayo
@ronosyuka
@emanu124
@nicoleschoice1
@crwriter1
@asdrubal1963
@owhy3

Top Tweeters in G3:
@missb62
@anthonybourque
@vi44
@cnbsnana
@margaritateresa
@lawgirl318
@walkerdl
@suma4720
@iamsophianelson
@mightymykey1

Top Tweeters in G4:
@lllwry
@nattie_best
@panca66
@thexcreatorr
@alvarodebazan2
@agussari
@fluffehdarkness
@rsapolitics
@jordan_0408
@toby1995

Top Tweeters in G5:
@bannerite
@dcexaminer
@nytimes
@tkinder
@ap
@nba
@maggienyt
@nfl
@whpresscorps
@hillbeverlyhill

Top Tweeters in G6:
@frlarousse2
@njdoc
@upuouo
@debsomewhere
@jjdebenedictis
@cnn
@misskylie77
@leftonmain
@gingin21
@drlindadykes

Top Tweeters in G7:
@talkintou
@ungubunugu1274
@riskyliberal
@cherokeenative3
@mstepczyk
@adekleine
@shareitarie10
@knight201701
@gyggy
@on_bender

Top Tweeters in G8:
@nypost
@b52malmet
@pedsscrub
@davidmweissman
@pulmyears
@lawyer4laws
@sallydeal4
@markknoller
@martina
@reaganbattalion

Top Tweeters in G9:
@westinghouse565
@jun_84
@noel_hasui
@zyoushou
@over56_34
@kazubachev
@5130keita
@suzudas
@rosyuxco
@thrillingbuzz

Top Tweeters in G10:
@oldlady12345
@cherokeesher2
@rosenchild
@damonbethea1
@amyayers16
@noybsk2017
@notcomey
@tassajarard
@theblakebeckham
@joshuajreynold1