@CDCgov OR @CDC_eHealth OR @CDCemergency, Twitter, 8/7/2020 9:31:10 PM, 232122


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@CDCgov OR @CDC_eHealth OR @CDCemergency_2020-08-07_13-45-38.xlsx
@CDCgov OR @CDC_eHealth OR @CDCemergency_2020-08-07_13-45-38.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 07, 2020
Short Description:
@CDCgov OR @CDC_eHealth OR @CDCemergency via NodeXL https://bit.ly/3gFip1l
@cdcgov
@realdonaldtrump
@tedlieu
@rupalichadhamd
@twitter
@surgeon_general
@mehmetceyhan23
@cdcemergency
@bombshelldaily
@thewaaph

Top hashtags:
#covid19
#covidnet
#rampagerantz
#coronavirus

Description:
Description
The graph represents a network of 8,299 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 07 August 2020 at 20:50 UTC.

The requested start date was Friday, 07 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 2-day, 8-hour, 1-minute period from Monday, 03 August 2020 at 22:36 UTC to Thursday, 06 August 2020 at 06:38 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 : 8299
Unique Edges : 13072
Edges With Duplicates : 18639
Total Edges : 31711
Number of Edge Types : 5
Retweet : 5021
MentionsInRetweet : 12720
Mentions : 11793
Replies to : 2105
Tweet : 72
Self-Loops : 157
Reciprocated Vertex Pair Ratio : 0.013876365093678
Reciprocated Edge Ratio : 0.0273728939176837
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 8298
Maximum Edges in a Connected Component : 31710
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.912724
Graph Density : 0.000293893414983978
Modularity : 0.460065
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,299 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 07 August 2020 at 20:50 UTC.

The requested start date was Friday, 07 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 2-day, 8-hour, 1-minute period from Monday, 03 August 2020 at 22:36 UTC to Thursday, 06 August 2020 at 06:38 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 : @CDCgov OR @CDC_eHealth OR @CDCemergency
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:
[14] https://www.cdc.gov/mmwr/volumes/69/wr/mm6932e1.htm?s_cid=mm6932e1_w
[14] https://sputniknews.com/us/202008041080060905-cdc-warns-of-new-outbreak-of-polio-like-illness-in-children-later-this-year-in-us/
[13] https://www.counterpoint.com/
[12] https://www.cdc.gov/mmwr/volumes/69/wr/mm6931e1.htm?s_cid=mm6931e1_w
[10] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=231694
[9] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[8] https://www.fda.gov/drugs/drug-safety-and-availability/fda-updates-hand-sanitizers-consumers-should-not-use
[7] https://twitter.com/axios/status/1290497186489348096
[6] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html

Top URLs in Tweet in G1:
[14] https://sputniknews.com/us/202008041080060905-cdc-warns-of-new-outbreak-of-polio-like-illness-in-children-later-this-year-in-us/
[10] https://www.cdc.gov/mmwr/volumes/69/wr/mm6931e1.htm?s_cid=mm6931e1_w
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[6] https://www.fda.gov/drugs/drug-safety-and-availability/fda-updates-hand-sanitizers-consumers-should-not-use
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[5] https://www.cdc.gov/salmonella/newport-07-20/index.html
[5] https://www.theguardian.com/world/2020/aug/05/covid-19-may-spread-more-easily-schools-than-thought-report-warns?CMP=share_btn_tw
[5] https://nypost.com/2020/08/05/lets-stop-importing-doctors-while-american-mds-go-jobless/amp/?__twitter_impression=true&fbclid=IwAR3IuxZD7swqOH3Ld3sYkluqXEWI02zXFX5nxzjeYuwHrw7Hix47PJyC7Vc
[4] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/deciding-to-go-out.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G2:
[13] https://www.counterpoint.com/
[2] https://twitter.com/wsteaks/status/1291169973910503428?s=19
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[2] https://www.dailymail.co.uk/health/article-8592887/Outbreak-child-paralyzing-disease-likely-fall-CDC-warns.html
[1] https://twitter.com/Cleavon_MD/status/1281843908410925056
[1] https://twitter.com/theplumlinegs/status/1291169379649019904
[1] https://www.fda.gov/drugs/drug-safety-and-availability/fda-updates-hand-sanitizers-consumers-should-not-use
[1] https://www.independent.co.uk/news/world/americas/us-politics/donald-trump-niece-mary-coronavirus-response-covid-pandemic-a9655446.html
[1] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fblog.plan99.net%2Fpseudo-epidemics-7603b2da839
[1] https://www.courrier-picard.fr/id82332/article/2020-04-23/enquete-epidemiologique-au-lycee-de-crepy-plus-dun-quart-des-personnes-testees

Top URLs in Tweet in G3:
[4] https://twitter.com/axios/status/1290497186489348096
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[3] https://abc3340.com/news/nation-world/annual-south-dakota-rally-expecting-250k-stirring-virus-concerns
[3] https://twitter.com/Freeyourmindkid/status/1290626349426671617
[2] https://www.salon.com/2020/04/08/yale-psychiatrist-bandy-lee-trumps-deadly-briefings-display-anti-human-psychology/
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/health-equity/index.html
[2] https://blogs.cdc.gov/publichealthmatters/2020/07/acuteflaccidmyelitis/?platform=hootsuite
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[2] https://swprs.org/on-the-treatment-of-covid-19/
[2] https://twitter.com/busydrt/status/1291143692645007362

Top URLs in Tweet in G4:
[1] https://www.apple.com/covid19?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100001373539758&utm_campaign=Real+Time&linkId=100000013242901
[1] https://emergency.cdc.gov/han/2020/han00434.asp
[1] https://twitter.com/Surgeon_General/status/1288082682933641218
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/parks-rec/public-beaches.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[1] https://twitter.com/LostInAusten75/status/1288269215397486594
[1] https://www.cdc.gov/mmwr/volumes/69/wr/mm6931e1.htm?s_cid=mm6931e1_w
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/summer-camps.html
[1] https://www.cdc.gov/vitalsigns/afm2020
[1] https://aapsonline.org/mask-facts/

Top URLs in Tweet in G5:
[2] https://www.cp24.com/news/ontario-sees-few-cases-of-rare-syndrome-linked-to-kids-with-covid-19-1.4987989
[1] https://www.walesonline.co.uk/news/uk-news/shorter-hairstyles-blowdry-covid-salons-18418545
[1] https://twitter.com/V_actually/status/1290660961678954496
[1] https://twitter.com/ColleenHuberNMD/status/1290835643514286085
[1] https://twitter.com/A_Melikishvili/status/1290260699868872705
[1] https://www.msn.com/en-ca/news/us/one-death-every-80-seconds-the-grim-new-toll-of-covid-19-in-america/ar-BB17BtJX?ocid=msedgdhp
[1] https://ca.style.yahoo.com/best-face-masks-for-kids-canada-2020-212236063.html
[1] https://www.msn.com/en-ca/news/canada/canada-to-release-mask-guidelines-for-children-recommend-them-for-kids-aged-10/ar-BB17zrkn?ocid=msedgdhp
[1] https://www.msn.com/en-ca/news/coronavirus/france-and-spain-record-big-rises-in-covid-19-cases-as-french-situation-precarious/ar-BB17C2vt?ocid=msedgdhp
[1] http://ca.news.yahoo.com/trump-emergency-powers-remain-white-091722518.html

Top URLs in Tweet in G6:
[3] https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm
[1] https://twitter.com/fed_upwithobama/status/1290705211221315595
[1] https://digitalhealthbuzz.com/5-ways-to-stay-cautious-as-covid-19-safety-measures-relax/
[1] https://www.npr.org/sections/goatsandsoda/2020/03/17/814221111/my-hand-washing-song-readers-offer-lyrics-for-a-20-second-scrub
[1] https://twitter.com/axios/status/1290497186489348096
[1] https://www.cnn.com/2020/05/01/politics/michael-caputo-sexist-tweets/index.html
[1] https://talkmarkets.com/content/stocks--equities/cytodyns-data-approvable-drug-sets-stage-for-near-term-move-upward?post=271713
[1] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/855716-usa-excess-death-data-compared-to-confirmed-covid-19-fatalities

Top URLs in Tweet in G7:
[1] https://bit.ly/3ewt3W7
[1] https://bit.ly/30dCkgL

Top URLs in Tweet in G8:
[2] https://twitter.com/davidzweig/status/1290634770733555712?s=21
[1] https://www.cdc.gov/mmwr/volumes/69/wr/mm6931e1.htm?s_cid=mm6931e1_x
[1] https://twitter.com/sputnik_tr/status/1290741043445432320?s=21
[1] https://twitter.com/sputnik_tr/status/1290741043445432320
[1] https://twitter.com/davidzweig/status/1290634770733555712
[1] https://twitter.com/davidzweig/status/1290634782444003328?s=21
[1] https://twitter.com/davidzweig/status/1290634782444003328
[1] https://twitter.com/drgunersonmez/status/1289659461062156288?s=21
[1] https://twitter.com/drgunersonmez/status/1289659461062156288
[1] https://twitter.com/cagrimbakirci/status/1289836944722018306?s=21

Top URLs in Tweet in G9:
[4] https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173---,00.html
[2] https://protect-public.hhs.gov/pages/hospital-capacity
[1] https://www.youtube.com/watch?v=eRATEI5NdbA&feature=youtu.be


Top URLs in Tweet in G10:
[1] https://twitter.com/hope411adcock/status/1290410464413974531
[1] https://twitter.com/NICEComms/status/1290225903654576128
[1] https://twitter.com/Marthacha1108/status/1290810920935940096
[1] https://twitter.com/urbanfatbiker/status/1173063896581718022
[1] https://twitter.com/tal7291/status/1246824315594530816
[1] https://twitter.com/ThomasKlineMD/status/1290861851203506177

Top Domains
Top Domains in Tweet in Entire Graph:
[297] cdc.gov
[249] twitter.com
[29] youtube.com
[25] bit.ly
[14] sputniknews.com
[13] counterpoint.com
[11] usa.gov
[10] nodexlgraphgallery.org
[9] fda.gov
[8] cnn.com

Top Domains in Tweet in G1:
[213] cdc.gov
[67] twitter.com
[19] bit.ly
[14] sputniknews.com
[13] youtube.com
[8] usa.gov
[7] fda.gov
[6] nypost.com
[5] theguardian.com
[4] thehill.com

Top Domains in Tweet in G2:
[17] twitter.com
[13] counterpoint.com
[4] cdc.gov
[3] co.uk
[2] thehill.com
[2] amazon.com
[1] fda.gov
[1] medium.com
[1] courrier-picard.fr
[1] covkidproject.org

Top Domains in Tweet in G3:
[95] twitter.com
[22] cdc.gov
[8] youtube.com
[4] cnn.com
[4] washingtonpost.com
[3] usa.gov
[3] abc3340.com
[3] apple.news
[3] yahoo.com
[2] salon.com

Top Domains in Tweet in G4:
[7] cdc.gov
[6] twitter.com
[1] apple.com
[1] aapsonline.org
[1] theatlantic.com

Top Domains in Tweet in G5:
[9] twitter.com
[3] msn.com
[2] yahoo.com
[2] cp24.com
[1] co.uk
[1] cbc.ca
[1] ctvnews.ca
[1] elpasocountyhealth.org
[1] cdc.gov
[1] youtube.com

Top Domains in Tweet in G6:
[3] cdc.gov
[2] twitter.com
[1] digitalhealthbuzz.com
[1] npr.org
[1] cnn.com
[1] talkmarkets.com
[1] flutrackers.com

Top Domains in Tweet in G7:
[2] bit.ly

Top Domains in Tweet in G8:
[13] twitter.com
[1] cdc.gov

Top Domains in Tweet in G9:
[4] michigan.gov
[2] hhs.gov
[1] youtube.com

Top Domains in Tweet in G10:
[6] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1060] covid19
[152] covidnet
[116] rampagerantz
[63] coronavirus
[63] fauci
[51] flu
[42] covid
[42] xijinping
[40] trump
[39] astoria



Top Hashtags in Tweet in G1:
[789] covid19
[145] covidnet
[45] flu
[24] coronavirus
[19] covid
[16] covidview
[14] icymi
[13] foodsafety
[11] acuteflaccidmyelitis
[10] maskup

Top Hashtags in Tweet in G2:
[29] covid19
[7] donalddeath
[7] coronavirus
[3] texascovid
[2] chroniclymeisreal
[2] lymedisease
[2] trump2020
[2] deepstateexposed
[2] lieuser
[2] trumpisacompletefailure

Top Hashtags in Tweet in G3:
[162] covid19
[110] rampagerantz
[49] fauci
[42] xijinping
[36] trump
[25] coronavirus
[9] plandemic
[9] farmerstofamilies
[9] loveisnottourism
[8] taiwan

Top Hashtags in Tweet in G4:
[26] covid19
[5] covidnet
[3] flu
[3] trumpvirus
[3] covidstopswithherdimmunity
[2] acuteflaccidmyelitis
[2] vitalsigns
[1] faqs
[1] covidhoax
[1] exposeantifa

Top Hashtags in Tweet in G5:
[4] kazakhstan
[4] aktau
[3] covid
[2] kazakhstani
[2] kz
[2] knb
[2] covid19
[2] rdh
[1] drstellaemmanuel
[1] yntymakova

Top Hashtags in Tweet in G6:
[3] covid19
[2] covid_19
[2] americasfrontlinedoctors
[1] covidー19
[1] 11thhour
[1] scienceteacher
[1] covidiot
[1] sarscov2
[1] usa
[1] learning

Top Hashtags in Tweet in G7:
[2] kenya
[2] rockymountainspottedfever
[1] vitalsigns
[1] acuteflaccidmyelitis
[1] covid_19

Top Hashtags in Tweet in G9:
[2] virus
[1] murdershewrote
[1] recallwhitmer
[1] dictator

Top Hashtags in Tweet in G10:
[5] opioidhysteria
[5] cpp
[4] ipp
[3] opioids
[2] fearofaddiction
[2] stopprop
[2] painkills
[2] fail
[1] kaiseriskillingmymom
[1] politicians

Top Words
Top Words in Tweet in Entire Graph:
[5142] cdcgov
[2456] realdonaldtrump
[2182] virus
[2017] twitter
[1959] tedlieu
[1736] spreading
[1728] misinformation
[1719] dear
[1718] preventing
[1714] harmful

Top Words in Tweet in G1:
[2642] cdcgov
[789] #covid19
[590] cdcdirector
[486] mask
[347] one
[337] masks
[324] data
[291] re
[291] wearing
[273] onions

Top Words in Tweet in G2:
[2171] realdonaldtrump
[1966] twitter
[1946] tedlieu
[1733] virus
[1703] spreading
[1703] misinformation
[1700] dear
[1699] pleased
[1699] preventing
[1698] harmful

Top Words in Tweet in G3:
[1074] cdcgov
[436] one
[257] virus
[219] realdonaldtrump
[215] rupalichadhamd
[213] deaths
[208] care
[188] increase
[187] talking
[187] due

Top Words in Tweet in G4:
[151] surgeon_general
[134] cdcgov
[76] mask
[70] wear
[58] hand
[54] local
[52] contact
[51] poison
[51] center
[51] swallowed

Top Words in Tweet in G5:
[31] cdcgov
[13] face
[13] people
[11] masks
[8] detained
[8] cdcdirector
[7] hair
[6] covid
[6] drtedros
[6] children

Top Words in Tweet in G6:
[50] cdcgov
[14] youtube
[11] mcculley
[11] covid19tracking
[9] govholcomb
[9] data
[9] deaths
[8] jamiet4123
[8] indianapoliszoo
[7] davehershey

Top Words in Tweet in G7:
[11] cdcgov
[4] vacs
[4] 2010
[3] cdcfound
[3] disease
[3] communities
[3] cdcflu
[3] ecowas_cdc
[2] shaziathussain1
[2] mmamas1973

Top Words in Tweet in G8:
[107] mehmetceyhan23
[77] bir
[69] dikkat
[69] açık
[69] havada
[68] okul
[67] yaz
[67] çocukların
[66] çocuk
[65] georgia

Top Words in Tweet in G9:
[101] govwhitmer
[95] cdcgov
[91] migov
[91] michiganhhs
[90] michemhs
[90] michstatepolice
[15] covid
[15] bluedogbri
[13] patients
[12] people

Top Words in Tweet in G10:
[27] cdcgov
[9] kaiser
[7] supportprop
[7] bostonbubbalooo
[6] cdcdirector
[6] mother
[5] chronic_flkeys
[5] death
[5] #opioidhysteria
[5] #cpp

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1709] dear,realdonaldtrump
[1709] realdonaldtrump,pleased
[1709] pleased,twitter
[1709] twitter,preventing
[1709] preventing,spreading
[1709] spreading,harmful
[1709] harmful,misinformation
[1709] misinformation,virus
[1708] tedlieu,dear
[1708] virus,shoul

Top Word Pairs in Tweet in G1:
[424] cdcgov,cdcdirector
[265] wearing,mask
[247] against,#covid19
[246] cdcdirector,masks
[244] masks,one
[244] one,powerful
[244] powerful,weapons
[243] fight,against
[242] weapons,fight
[242] #covid19,wearing

Top Word Pairs in Tweet in G2:
[1698] dear,realdonaldtrump
[1698] realdonaldtrump,pleased
[1698] pleased,twitter
[1698] twitter,preventing
[1698] preventing,spreading
[1698] spreading,harmful
[1698] harmful,misinformation
[1698] misinformation,virus
[1697] tedlieu,dear
[1697] virus,shoul

Top Word Pairs in Tweet in G3:
[185] one,talking
[184] talking,increase
[184] increase,deaths
[184] deaths,lack
[184] lack,preventative
[184] preventative,care
[184] care,due
[184] due,virus
[184] virus,one
[183] rupalichadhamd,one

Top Word Pairs in Tweet in G4:
[64] wear,mask
[51] contact,local
[51] local,poison
[51] poison,center
[50] center,800
[50] 800,222
[50] 222,1222
[50] 1222,advice
[50] swallowed,alcohol
[50] alcohol,based

Top Word Pairs in Tweet in G5:
[10] face,masks
[7] cdcgov,cdcdirector
[5] covid,19
[4] repression,continues
[4] continues,#kazakhstan
[4] #kazakhstan,civil
[4] civil,activists
[4] activists,detained
[4] detained,#aktau
[4] #aktau,many

Top Word Pairs in Tweet in G6:
[11] mcculley,cdcgov
[8] jamiet4123,govholcomb
[8] govholcomb,indianapoliszoo
[8] indianapoliszoo,youtube
[8] youtube,cdcgov
[7] davehershey,jamiet4123
[5] cdcgov,covid19tracking
[5] covid19tracking,natesilver538
[4] over,two
[4] two,weeks

Top Word Pairs in Tweet in G7:
[3] cdcgov,cdcflu
[2] shaziathussain1,mmamas1973
[2] mmamas1973,drandrewsharp
[2] drandrewsharp,nolanjimradial
[2] nolanjimradial,shrillab
[2] shrillab,drasifqasim
[2] drasifqasim,kamleshkhunti
[2] kamleshkhunti,ktamirisamd
[2] #kenya,recent
[2] recent,vacs

Top Word Pairs in Tweet in G8:
[67] açık,havada
[65] georgia,yaz
[65] yaz,okulunda
[65] okulunda,bir
[65] bir,pozitif
[65] pozitif,çocuk
[65] çocuk,diğer
[65] diğer,çocukların
[65] çocukların,yarısına
[65] yarısına,virus

Top Word Pairs in Tweet in G9:
[76] michstatepolice,cdcgov
[75] michemhs,michstatepolice
[74] migov,govwhitmer
[74] govwhitmer,michiganhhs
[62] michiganhhs,michemhs
[17] migov,michiganhhs
[15] bluedogbri,migov
[15] michiganhhs,michstatepolice
[14] michstatepolice,michemhs
[14] michemhs,cdcgov

Top Word Pairs in Tweet in G10:
[5] kaiser,cdcgov
[5] truebennett,ladyag72
[5] ladyag72,rollinslynda
[5] rollinslynda,mlvanbrit
[5] mlvanbrit,louiseshoger
[5] louiseshoger,ccontrarus
[5] ccontrarus,puppyluvr312
[5] puppyluvr312,bostonbubbalooo
[4] cdcgov,supportprop
[4] shelley_bean60,truebennett

Top Replied-To
Top Replied-To in Entire Graph:
@cdcgov
@tedlieu
@cdcdirector
@realdonaldtrump
@surgeon_general
@keepamericafre4
@migov
@rupalichadhamd
@secazar
@richardcostigan

Top Replied-To in G1:
@cdcgov
@cdcdirector
@richardcostigan
@turbofart420
@repmarkgreen
@jen2i4er
@toddeherman
@camtastick
@malinowski
@senronjohnson

Top Replied-To in G2:
@tedlieu
@keepamericafre4
@realdonaldtrump
@browngravy_93
@ladygluvs
@cringetalk
@hlaurora63
@omgrofloljk
@enargins
@jconchroo

Top Replied-To in G3:
@realdonaldtrump
@rupalichadhamd
@cdcgov
@preciouslindy
@repblaine
@rampagerantz
@thedolcediet
@atomskssanakan
@bombshelldaily
@cdcemergency

Top Replied-To in G4:
@surgeon_general
@secazar
@cdcgov
@cdcdirector
@deplorable_mi
@kellpatt
@trump_russia
@diane00007960
@jerryalayer
@tedlieu

Top Replied-To in G5:
@babak_javid_lab
@kprather88
@roxannerandel
@judexjudexx
@trthseekerqanon
@french_gov
@drzwelimkhize
@ekverstania
@drericding
@lisa_proust

Top Replied-To in G6:
@davehershey
@castawaykevin
@realsled
@cdcgov
@mcculley
@rileydevildog
@60minutes
@nicknobbe
@gallaecian
@sponge4life1

Top Replied-To in G7:
@shaziathussain1
@cdcgov
@ettoregiuliano
@jeromeadamsmd
@nighealthwatch
@dr_bavlos
@drjennercdcatla

Top Replied-To in G8:
@mehmetceyhan23
@cyilmaz
@sarmans79
@elif19342025
@vicdan42055360
@pisimiyav1
@dumancelil
@ugurerdem42
@didemm22085268
@fatma5711453

Top Replied-To in G9:
@migov
@tambookpara
@kpea928
@bluedogbri
@nan56963609
@wonliner1
@killtedken
@anngamboe
@robj6287
@legalkat1975

Top Replied-To in G10:
@denahandel
@eileendove910
@chronic_flkeys
@bostonbubbalooo
@selahh6
@bluesunquake
@urbanfatbiker
@replouiegohmert
@maashealth
@truebennett

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@realdonaldtrump
@twitter
@tedlieu
@cdcdirector
@who
@target
@rupalichadhamd
@turbofart420
@potus

Top Mentioned in G1:
@cdcgov
@cdcdirector
@target
@turbofart420
@krmgtulsa
@toddeherman
@repmarkgreen
@walmart
@the_coopdogg
@senatorcardin

Top Mentioned in G2:
@realdonaldtrump
@twitter
@tedlieu
@cdcgov
@potus
@ladygluvs
@hlaurora63
@cd
@9newsnancy
@keepamericafre4

Top Mentioned in G3:
@cdcgov
@who
@rupalichadhamd
@realdonaldtrump
@nih
@hhsgov
@rampagerantz
@thedemocrats
@cdcemergency
@potus

Top Mentioned in G4:
@cdcgov
@surgeon_general
@cdcmmwr
@cdcdirector
@realdonaldtrump
@piraticalpatri1
@apple
@us_fda
@secazar
@twitter

Top Mentioned in G5:
@cdcgov
@who
@cdcdirector
@drtedros
@michellemalkin
@matthancock
@borisjohnson
@veiezqnmcfdfyhr
@realdonaldtrump
@poli_blu_muslim

Top Mentioned in G6:
@cdcgov
@youtube
@covid19tracking
@govholcomb
@jamiet4123
@indianapoliszoo
@mcculley
@natesilver538
@jack
@twitter

Top Mentioned in G7:
@cdcgov
@cdcfound
@cdcflu
@mmamas1973
@drandrewsharp
@nolanjimradial
@shrillab
@drasifqasim
@kamleshkhunti
@ktamirisamd

Top Mentioned in G8:
@mehmetceyhan23
@cdcgov
@nvners
@mehmetguner7878
@dromeraksoy
@dumancelil
@nestroyers
@sesusari
@dutpekmezi3

Top Mentioned in G9:
@cdcgov
@govwhitmer
@michiganhhs
@michemhs
@michstatepolice
@migov
@bluedogbri
@joshuadhunter
@breannaprince11
@zenanass22

Top Mentioned in G10:
@cdcgov
@supportprop
@kaiser
@cdcdirector
@ladyag72
@rollinslynda
@mlvanbrit
@louiseshoger
@ccontrarus
@puppyluvr312

Top Tweeters
Top Tweeters in Entire Graph:
@missb62
@americanair
@recitesocial
@federicoalves
@delta
@rjber15
@thereal_rebel
@bkindngood
@inspiteoftrump
@honeymoongondol

Top Tweeters in G1:
@americanair
@federicoalves
@yarosisnancy
@padakitty
@israelnewslinks
@qbankendy
@rosenchild
@inabsentia9
@realblack212
@marthalynneowe1

Top Tweeters in G2:
@rjber15
@bkindngood
@inspiteoftrump
@debilu2
@babysgramma
@denniskoch10
@lisakbromley
@sar_oso
@amyayers16
@enrico056

Top Tweeters in G3:
@missb62
@thereal_rebel
@onahunttoday
@susaniverach
@sandyriccobono
@businessinsider
@harrellryan1
@reagancbrown
@carolynyadayada
@vetapologist

Top Tweeters in G4:
@wadakashiho
@awiselatina
@carrollisforme
@rachaelahancock
@usahellfire
@kmfdt
@jaketapper
@scottfordohio
@sabrinanc10
@lalaruefrench75

Top Tweeters in G5:
@cbcnews
@ctvnews
@cp24
@cbcalerts
@minsaude
@picardonhealth
@ctvtoronto
@gkeile
@zeynep
@michellemalkin

Top Tweeters in G6:
@business
@gallaecian
@nypost
@rileydevildog
@abcnews
@nytimesworld
@yahoofinance
@momjar1
@wwe
@theeconomist

Top Tweeters in G7:
@hiv_insight
@hragy
@nighealthwatch
@infectiousdz
@cardioian
@bingoplr
@rahatheart1
@mmamas1973
@bbcsciencenews
@mirvatalasnag

Top Tweeters in G8:
@_okanozturk_
@albayrak_mumin
@dutpekmezi3
@zedkit7
@izleyicim1
@taraftar_grubu
@omurerturk
@edahosgor
@nalangul1960
@brave_man_ed

Top Tweeters in G9:
@gma
@killtedken
@kayes_isright
@mktldr
@migov
@pacoallen1
@zenanass22
@alli48187
@cbruck67
@drjashton

Top Tweeters in G10:
@deeenst
@spicypurritos
@msmariablack
@angelsgal02
@lelenapeacock
@woutgorge
@rosesdaughter61
@ladyag72
@puppyluvr312
@talkeetna101