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@CDCgov OR @CDC_eHealth OR @CDCemergency_2020-10-16_13-28-24.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
October 16, 2020
Short Description:
@CDCgov OR @CDC_eHealth OR @CDCemergency via NodeXL https://bit.ly/31d5iP4
@cdcgov
@drgarydhughes
@cdcemergency
@healthleaks1
@cartoonnetwork
@cynthia_walson
@erictopol
@drdenagrayson
@realdonaldtrump
@emilysharpe

Top hashtags:
#covid19
#propaganda
#smartdissent

Description:
Description
The graph represents a network of 7,837 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, 16 October 2020 at 20:39 UTC.

The requested start date was Friday, 16 October 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, 2-hour, 24-minute period from Tuesday, 13 October 2020 at 21:34 UTC to Thursday, 15 October 2020 at 23:58 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 : 7837
Unique Edges : 10443
Edges With Duplicates : 25391
Total Edges : 35834
Number of Edge Types : 5
Retweet : 4352
MentionsInRetweet : 8747
Mentions : 20083
Replies to : 2605
Tweet : 47
Self-Loops : 146
Reciprocated Vertex Pair Ratio : 0.0138583638583639
Reciprocated Edge Ratio : 0.0273378695730716
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7834
Maximum Edges in a Connected Component : 35832
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.875299
Graph Density : 0.000270425045576724
Modularity : 0.350225
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,837 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, 16 October 2020 at 20:39 UTC.

The requested start date was Friday, 16 October 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, 2-hour, 24-minute period from Tuesday, 13 October 2020 at 21:34 UTC to Thursday, 15 October 2020 at 23:58 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:
[306] http://smartdissent.com/article/trump-officials-stole-300000000-cdc-fund-propaganda
[55] https://www.cdc.gov/mmwr/volumes/69/wr/mm6941a4.htm?s_cid=mm6941a4_w
[24] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[19] https://www.propublica.org/article/inside-the-fall-of-the-cdc
[10] https://www.sciencemag.org/news/2020/10/inside-story-how-trumps-covid-19-coordinator-undermined-cdc
[9] https://www.nytimes.com/live/2020/10/12/world/coronavirus-covid#white-house-doctor-says-rapid-test-shows-trump-has-tested-negative
[8] https://www.cdc.gov/mmwr/volumes/69/wr/mm6936a5.htm
[8] https://www.cdc.gov/mmwr/volumes/69/wr/mm6941a4.htm?s_cid=mm6941a4_e
[8] https://www.washingtonpost.com/investigations/council-national-policy-video/2020/10/14/367f24c2-f793-11ea-a510-f57d8ce76e11_story.html
[7] https://academic.oup.com/jtm/advance-article/doi/10.1093/jtm/taaa178/5910636?searchresult=1

Top URLs in Tweet in G1:
[297] http://smartdissent.com/article/trump-officials-stole-300000000-cdc-fund-propaganda
[21] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[11] https://www.propublica.org/article/inside-the-fall-of-the-cdc
[8] https://www.cdc.gov/mmwr/volumes/69/wr/mm6941a4.htm?s_cid=mm6941a4_e
[8] https://www.washingtonpost.com/investigations/council-national-policy-video/2020/10/14/367f24c2-f793-11ea-a510-f57d8ce76e11_story.html
[5] https://www.cdc.gov/mmwr/volumes/69/wr/mm6941a4.htm?s_cid=mm6941a4_w
[5] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/halloween.html?ACSTrackingID=USCDC_2067-DM40330
[5] https://twitter.com/DrTomFrieden/status/1316178163395956736
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G2:
[4] http://smartdissent.com/article/trump-officials-stole-300000000-cdc-fund-propaganda
[1] https://english.duke.edu/news/poem-day-when-great-trees-fall
[1] https://www.nejm.org/doi/full/10.1056/NEJMoa2021680?cookieSet=1
[1] https://twitter.com/DrGaryDHughes/status/1315807445617389569
[1] https://www.webmd.com/lung/news/20201011/233-thousand-u-s-covid-19-deaths-forecasted-by-oct-31
[1] http://Dr.Hughes

Top URLs in Tweet in G3:
[7] https://www.statista.com/statistics/1109011/coronavirus-covid19-death-rates-us-by-state/
[6] https://www.youtube.com/watch?v=GGbDblHqRB4&feature=youtu.be

[5] https://www.propublica.org/article/inside-the-fall-of-the-cdc
[5] https://www.reddit.com/r/politics/comments/j9x2tu/cory_booker_finally_states_the_obvious_at_barrett/?utm_source=share&utm_medium=ios_app&utm_name=iossmf
[4] http://smartdissent.com/article/trump-officials-stole-300000000-cdc-fund-propaganda
[3] https://www.azcentral.com/story/news/local/arizona-health/2020/03/28/university-arizona-working-tests-detect-covid-19-antibodies/5083093002/
[3] https://www.cdc.gov/mmwr/volumes/69/wr/mm6936a5.htm
[3] https://twitter.com/busydrt/status/1316135380857638919
[2] https://www.wsj.com/articles/a-demoralized-cdc-grapples-with-white-house-meddling-and-its-own-mistakes-11602776561
[2] https://www.nytimes.com/live/2020/10/14/world/covid-coronavirus

Top URLs in Tweet in G4:
[50] https://www.cdc.gov/mmwr/volumes/69/wr/mm6941a4.htm?s_cid=mm6941a4_w
[9] https://www.nytimes.com/live/2020/10/12/world/coronavirus-covid#white-house-doctor-says-rapid-test-shows-trump-has-tested-negative
[7] https://academic.oup.com/jtm/advance-article/doi/10.1093/jtm/taaa178/5910636?searchresult=1
[5] https://www.sciencemag.org/news/2020/10/inside-story-how-trumps-covid-19-coordinator-undermined-cdc
[3] https://twitter.com/observatorio14/status/1315739985736347650
[2] https://www.cdc.gov/mmwr/volumes/69/wr/pdfs/mm6940e2-H.pdf
[2] https://twitter.com/cpiller/status/1316505852631683074
[2] https://www.nytimes.com/2020/08/08/opinion/sunday/coronavirus-response-testing-lockdown.html?smid=tw-share
[1] https://www.propublica.org/article/inside-the-fall-of-the-cdc
[1] https://wwwnc.cdc.gov/eid/article/26/12/20-3910_article

Top URLs in Tweet in G5:
[2] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[2] https://www.youtube.com/watch?v=bbGG79WGmu4&feature=youtu.be

[1] https://www.cdc.gov/prepyourhealth/createcommunity/getinvolved/index.htm
[1] https://blogs.cdc.gov/publichealthmatters/2019/03/poison_prevention/?platform=hootsuite
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[1] https://go.usa.gov/xEnje
[1] https://www.cdc.gov/coronavirus/2019-ncov/prepare/prevention.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[1] https://airnow.gov/

Top URLs in Tweet in G6:
[3] https://covidapihub.io/
[3] https://www.youtube.com/watch?v=OQ5l1oIoO2c&feature=youtu.be

[1] https://www.cell.com/cell/fulltext/S0092-8674(20)31238-1
[1] https://africacdc.org/news-item/us100-million-africa-pathogen-genomics-initiative-to-boost-disease-surveillance-and-emergency-response-capacity-in-africa/
[1] https://bit.ly/33Zt4QF
[1] https://www.youtube.com/watch?v=FUnTuVjdJco&feature=youtu.be


Top URLs in Tweet in G7:
[1] https://www.youtube.com/watch?v=2yu4jSPNtic&feature=youtu.be

[1] https://www.schools.nyc.gov/learn-at-home/activities-for-students/health-education
[1] https://www.politifact.com/factchecks/2020/jun/13/andrew-cuomo/new-yorks-nursing-home-policy-was-not-line-cdc/
[1] https://www.nytimes.com/2020/07/08/nyregion/nursing-homes-deaths-coronavirus.html
[1] http://dcgadfly.blogspot.com/2020/10/mount-sinai-hospital-lets-possible.html

Top URLs in Tweet in G8:
[1] https://www.cdc.gov/media/releases/2019/s0424-advises-misapplication-guideline-prescribing-opioids.html?fbclid=IwAR0JSEyBDRlQli6RHm7HqGz4VOPD1w62BdlsIgIWj66obN_KIxmM1pmOkAc
[1] https://twitter.com/4everNeverTrump/status/1316175552856825856
[1] https://thefederalist.com/2019/03/26/blaming-prescription-pain-pills-opioid-epidemic-fake-news/

Top URLs in Tweet in G9:
[2] https://californiaglobe.com/section-2/new-cdc-study-finds-majority-of-those-infected-with-covid-19-always-wore-masks/
[1] https://twitter.com/BluebirdsofMO/status/1316439863294595073
[1] https://www.cdc.gov/media/releases/2020/p0714-americans-to-wear-masks.html

Top URLs in Tweet in G10:
[2] https://www.youtube.com/watch?v=C441XsTJVGw&feature=youtu.be

[2] https://www.youtube.com/watch?v=aM4ERtXoZ64&feature=youtu.be

[1] https://californiaglobe.com/section-2/new-cdc-study-finds-majority-of-those-infected-with-covid-19-always-wore-masks/
[1] https://www.youtube.com/watch?v=khMluHis1Sw&feature=youtu.be

[1] https://www.google.com/sorry/index?continue=https://www.youtube.com/watch%3Fv%3D1Ugo2KEV2XQ%26feature%3Demb_logo&q=EgS4SO-bGMa6oPwFIhkA8aeDS7QFu0Z5B7eLSigdp4oUEngz7JVtMgFy
[1] https://www.youtube.com/watch?v=NYRAZxcp_hU&feature=youtu.be

[1] https://www.cdc.gov/nchs/data/nvss/vsrg/vsrg03-508.pdf
[1] https://www.youtube.com/watch?v=4ebfvozk0vQ&feature=youtu.be

[1] https://www.youtube.com/watch?v=UEBYI8ETtJ8&feature=youtu.be


Top Domains
Top Domains in Tweet in Entire Graph:
[345] cdc.gov
[308] smartdissent.com
[248] twitter.com
[77] reddit.com
[50] youtube.com
[26] nytimes.com
[21] propublica.org
[18] cnn.com
[18] bit.ly
[11] apple.com

Top Domains in Tweet in G1:
[298] smartdissent.com
[209] cdc.gov
[73] twitter.com
[14] youtube.com
[13] bit.ly
[12] propublica.org
[11] apple.com
[8] washingtonpost.com
[6] nytimes.com
[5] cnn.com

Top Domains in Tweet in G2:
[4] smartdissent.com
[1] duke.edu
[1] nejm.org
[1] twitter.com
[1] webmd.com
[1] dr.hughes

Top Domains in Tweet in G3:
[102] twitter.com
[77] reddit.com
[22] cdc.gov
[16] youtube.com
[8] cnn.com
[7] statista.com
[6] propublica.org
[4] wsj.com
[4] smartdissent.com
[4] nytimes.com

Top Domains in Tweet in G4:
[56] cdc.gov
[14] twitter.com
[11] nytimes.com
[7] oup.com
[5] sciencemag.org
[3] idsociety.org
[2] bit.ly
[1] propublica.org
[1] jamanetwork.com
[1] medium.com

Top Domains in Tweet in G5:
[14] cdc.gov
[9] twitter.com
[3] t.co
[2] cnn.com
[2] youtube.com
[1] usa.gov
[1] airnow.gov
[1] howrightnow.org
[1] medpagetoday.com
[1] washingtonpost.com

Top Domains in Tweet in G6:
[4] youtube.com
[3] covidapihub.io
[1] cell.com
[1] africacdc.org
[1] bit.ly

Top Domains in Tweet in G7:
[1] youtube.com
[1] nyc.gov
[1] politifact.com
[1] nytimes.com
[1] blogspot.com

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

Top Domains in Tweet in G9:
[2] californiaglobe.com
[1] twitter.com
[1] cdc.gov

Top Domains in Tweet in G10:
[8] youtube.com
[1] californiaglobe.com
[1] google.com
[1] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1179] covid19
[309] propaganda
[306] smartdissent
[133] vaccines
[85] wearamask
[76] americaneedspennsylvania
[69] globalhandwashingday
[51] coronavirus
[50] craigofthecreek
[32] domesticviolenceawarenessmonth



Top Hashtags in Tweet in G1:
[740] covid19
[298] propaganda
[298] smartdissent
[121] vaccines
[32] domesticviolenceawarenessmonth
[29] trumpliedpeopledied
[29] trumpviruscatastrophe
[29] goplies
[29] corruptionkills
[24] coronavirus

Top Hashtags in Tweet in G2:
[9] covid19
[4] propaganda
[4] smartdissent
[3] wearamask
[1] iammasked
[1] ilistentoexperts
[1] duh
[1] vaccines
[1] wearadamnmask
[1] voteblue

Top Hashtags in Tweet in G3:
[171] covid19
[76] americaneedspennsylvania
[30] sanctionturkey
[30] sanctionazerbaijan
[30] stopazeriaggression
[30] recognizeartsakh
[29] stopazerbaijaniaggression
[21] loveisnottourism
[12] trump
[10] coronavirus

Top Hashtags in Tweet in G4:
[63] covid19
[5] idweek2020
[5] flu
[5] respiratory
[5] virus
[5] swisscheesemodel
[4] sarscov2
[4] realtimecovid19
[3] neurological
[3] headache

Top Hashtags in Tweet in G5:
[36] covid19
[21] wearamask
[17] disaster
[17] emergency
[8] prepyourhealth
[5] delta
[4] stayhealthy
[4] vaccines
[3] selfcare
[3] washyourhands

Top Hashtags in Tweet in G6:
[3] covid19
[2] africa
[1] infectiousdisease
[1] vaccines
[1] malaria
[1] ebola
[1] africaresponds
[1] coronavirus
[1] covid
[1] digitalhealth

Top Hashtags in Tweet in G7:
[3] covid19
[2] healthed
[1] covid__19
[1] globalhandwashingday2020
[1] handwashing
[1] facemask
[1] coronavirus

Top Hashtags in Tweet in G8:
[2] fakeopioidcrisis
[1] dncmedia
[1] veterans
[1] chronicpain
[1] cancer
[1] sicklecell

Top Hashtags in Tweet in G9:
[5] covid19
[3] vote
[2] factcheck
[2] ncgovdebate
[1] china
[1] ccp
[1] urgente
[1] breaking
[1] freehongkong
[1] risingqs

Top Hashtags in Tweet in G10:
[19] covid19
[17] masks
[17] masksdontwork
[16] masksmakeitworse
[3] coronavirusupdates
[2] antibodies
[2] immunity
[2] tonyfauci
[1] science
[1] choice

Top Words
Top Words in Tweet in Entire Graph:
[5961] cdcgov
[1717] covid
[1655] drgarydhughes
[1516] 19
[1179] #covid19
[1142] devastated
[746] mom
[742] life
[738] anything
[730] 000

Top Words in Tweet in G1:
[2763] cdcgov
[740] #covid19
[666] 000
[495] help
[481] cases
[428] mask
[360] take
[358] trump
[312] read
[311] 300

Top Words in Tweet in G2:
[1633] drgarydhughes
[1142] covid
[1125] 19
[1121] devastated
[734] mom
[694] life
[694] support
[694] losing
[690] tonight
[688] advanced

Top Words in Tweet in G3:
[1091] cdcgov
[450] cdcdirector
[330] realdonaldtrump
[197] joebiden
[177] vp
[171] #covid19
[171] govmurphy
[166] people
[155] kamalaharris
[151] cnn

Top Words in Tweet in G4:
[281] cdcgov
[177] erictopol
[78] inside
[76] cpiller
[63] #covid19
[62] former
[61] birx
[61] public
[61] health
[60] work

Top Words in Tweet in G5:
[108] cdcemergency
[84] cdcgov
[46] help
[42] spread
[38] mask
[36] #covid19
[34] feel
[34] anxious
[34] sad
[32] everyone

Top Words in Tweet in G6:
[22] cdcgov
[16] africacdc
[13] launch
[11] ti_eu
[10] pathogen
[10] genomics
[10] bbchealth
[10] amnesty
[9] thrilled
[9] initiative

Top Words in Tweet in G7:
[94] cdcgov
[86] nygovcuomo
[76] mgoodwin_nypost
[73] janicedean
[68] nursing
[61] nypost
[57] newyorkgop
[57] foxnews
[53] recap
[53] blamed

Top Words in Tweet in G8:
[50] cdcgov
[17] deahq
[16] rlamartini
[16] harnesshealth
[14] pain
[14] supportprop
[12] guidelines
[12] stfrmedia
[12] ledhedd
[12] realdonaldtrump

Top Words in Tweet in G9:
[32] cdcgov
[14] twitter
[9] data
[7] facebook
[6] people
[6] covid
[6] roycoopernc
[5] #covid19
[5] tuckercarlson
[5] danforestnc

Top Words in Tweet in G10:
[31] cdcgov
[19] #covid19
[18] wore
[17] cdc
[17] study
[17] infected
[17] #masks
[17] #masksdontwork
[16] finds
[16] majority

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1485] covid,19
[699] tonight,mom
[699] mom,advanced
[699] advanced,life
[699] life,support
[699] support,losing
[699] losing,covid
[699] 19,devastated
[699] devastated,helpless
[699] helpless,anything

Top Word Pairs in Tweet in G1:
[311] 300,000
[299] cdcgov,fund
[298] trump,officials
[298] officials,stole
[298] stole,300
[298] 000,000
[298] 000,cdcgov
[298] fund,#propaganda
[298] #propaganda,read
[298] read,#smartdissent

Top Word Pairs in Tweet in G2:
[1125] covid,19
[688] tonight,mom
[688] mom,advanced
[688] advanced,life
[688] life,support
[688] support,losing
[688] losing,covid
[688] 19,devastated
[688] devastated,helpless
[688] helpless,anything

Top Word Pairs in Tweet in G3:
[256] cdcdirector,cdcgov
[145] govmurphy,cdcdirector
[126] realdonaldtrump,joebiden
[120] joebiden,senschumer
[120] senschumer,donaldjtrumpjr
[120] donaldjtrumpjr,ivankatrump
[120] ivankatrump,markmeadows
[120] markmeadows,kamalaharris
[120] kamalaharris,vp
[119] vp,melaniatrump

Top Word Pairs in Tweet in G4:
[62] former,cdcgov
[60] public,health
[59] inside,existential
[59] existential,crisis
[59] crisis,cdcgov
[59] cdcgov,demoralization
[59] demoralization,toxic
[59] toxic,work
[59] work,environment
[59] environment,sometimes

Top Word Pairs in Tweet in G5:
[32] everyone,reacts
[32] reacts,differently
[32] differently,stressful
[32] stressful,situations
[30] cdcemergency,everyone
[29] situations,feel
[29] feel,anxious
[29] anxious,angry
[29] angry,sad
[29] sad,overwhelmed

Top Word Pairs in Tweet in G6:
[10] pathogen,genomics
[9] thrilled,africacdc
[9] africacdc,pathogen
[9] genomics,initiative
[9] initiative,launch
[9] launch,one
[9] one,critical
[9] critical,programs
[9] programs,developing
[9] developing,before

Top Word Pairs in Tweet in G7:
[57] mgoodwin_nypost,nypost
[57] nypost,newyorkgop
[57] newyorkgop,cdcgov
[53] recap,nygovcuomo
[53] nygovcuomo,blamed
[53] blamed,god
[53] god,mother
[53] mother,nature
[53] nature,mgoodwin_nypost
[53] cdcgov,potus

Top Word Pairs in Tweet in G8:
[14] supportprop,cdcgov
[14] cdcgov,deahq
[12] cdcgov,realdonaldtrump
[10] bcbsm,cdcgov
[10] thedarkgift_,supportprop
[8] rlamartini,spellmakerjacey
[8] realdonaldtrump,freep
[8] melodious1960,mrgrinch1234
[7] guidelines,rescinded
[7] harnesshealth,berniehettrick

Top Word Pairs in Tweet in G9:
[4] ignoring,science
[4] cdcgov,data
[4] bosmana,koffiegeest
[4] kikkertje17,roelgrif
[4] roelgrif,magdasmink
[4] magdasmink,mzelst
[4] mzelst,larsepediajong
[4] larsepediajong,geertrb
[4] sabje1979,dolfje
[4] dolfje,twitter

Top Word Pairs in Tweet in G10:
[16] cdc,study
[16] study,finds
[16] finds,majority
[16] majority,those
[16] those,infected
[16] infected,#covid19
[16] #covid19,always
[16] always,wore
[16] wore,#masks
[16] #masks,#masksdontwork

Top Replied-To
Top Replied-To in Entire Graph:
@drgarydhughes
@cdcgov
@realdonaldtrump
@govmurphy
@govsisolak
@richard40136791
@clubproguy
@tanneranderson4
@tahirtturk
@halocommconsult

Top Replied-To in G1:
@cdcgov
@clubproguy
@tanneranderson4
@wiassemblygop
@govpritzker
@larryinmissouri
@hillformissouri
@smartdissent
@supriya_sule
@rebeccachandle1

Top Replied-To in G2:
@drgarydhughes
@twilightseven
@ginandtonic1965
@cdcgov
@naturallibertas
@jessicajbaldwin
@primrosechina
@washdcbhl
@dominowski
@brooklynraf

Top Replied-To in G3:
@realdonaldtrump
@govmurphy
@cdcgov
@halocommconsult
@bluejaybrother
@whitehouse
@cdcdirector
@fromstartrdn
@cnn
@joebiden

Top Replied-To in G4:
@visioncut1
@erictopol
@observatorio14
@mmfill
@charlesornstein
@sadielou52
@asergrada
@helenbranswell
@carlosdelrio7

Top Replied-To in G5:
@cdcemergency
@cdcgov
@senronjohnson
@bombshelldaily
@bplace01
@priscie_boateng
@hhs_ash
@aander1987
@nicole_boothman
@sunisthe1

Top Replied-To in G6:
@bbchealth
@usembkinshasa
@usambdrc
@mpjonesinfo
@voanews
@livr_transplant
@who

Top Replied-To in G7:
@janicedean
@davelapell
@nygovcuomo
@nypost
@nycschools
@alibaumantv
@real_defender
@matthewjshow
@gwenny_vere
@mirandabarbot

Top Replied-To in G8:
@melodious1960
@mrwick2u
@hrhgypsy
@rosie34039872
@cathy_kean
@hettrickbernie
@berniehettrick
@harnesshealth
@rebeccacpp
@sdfashionista3

Top Replied-To in G9:
@roycoopernc
@twitter
@doherty_eliz
@esaagar
@american_damn
@hawleymo
@drvforonehealth
@facebook
@nicky_skinz
@presssec

Top Replied-To in G10:
@nathanieltesfa3
@insulrpeninsula
@zerowarningshot
@herounplugged
@govmikedewine
@hsretoucher
@robindallastx
@cdcgov
@chinaeatsdog
@boostmyfuel

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@drgarydhughes
@jtmoorems
@cdcdirector
@who
@smartdissent
@facesofcovid
@realdonaldtrump
@nc5philwilliams
@joebiden

Top Mentioned in G1:
@cdcgov
@smartdissent
@propublica
@drrichbesser
@cdcmmwr
@cdcdirector
@clarkcountynv
@wiassemblygop
@supriya_sule
@cbseveningnews

Top Mentioned in G2:
@drgarydhughes
@cdcgov
@jtmoorems
@facesofcovid
@nc5philwilliams
@chrislhayes
@normornstein
@jennycohn1
@shaunking
@twilightseven

Top Mentioned in G3:
@cdcgov
@cdcdirector
@who
@joebiden
@realdonaldtrump
@vp
@kamalaharris
@speakerpelosi
@drtedros
@cnn

Top Mentioned in G4:
@cdcgov
@erictopol
@cpiller
@helenbranswell
@sciencemagazine
@dranthonyf
@saludpublicaes
@who
@charlesornstein
@drtomfrieden

Top Mentioned in G5:
@cdcemergency
@cdcgov
@shakeout
@fema
@bombshelldaily
@hhsgov
@journalofethics
@airnow
@readygov
@nsagov

Top Mentioned in G6:
@cdcgov
@africacdc
@ti_eu
@who
@amnesty
@cnn
@dwnews
@usaid
@drjayvarma
@gop

Top Mentioned in G7:
@cdcgov
@nygovcuomo
@mgoodwin_nypost
@janicedean
@nypost
@newyorkgop
@foxnews
@fud31
@davelapell
@nytimes

Top Mentioned in G8:
@cdcgov
@deahq
@rlamartini
@harnesshealth
@supportprop
@realdonaldtrump
@ledhedd
@stfrmedia
@matthew60323922
@louisanamom

Top Mentioned in G9:
@cdcgov
@twitter
@facebook
@tuckercarlson
@danforestnc
@merlotvine
@bosmana
@koffiegeest
@vickyvdtogt
@kikkertje17

Top Mentioned in G10:
@cdcgov
@gatewaypundit
@avoiceforchoice
@realdonaldtrump
@okiegirl74403
@mjvandam
@govmikedewine
@herounplugged
@youtube
@oumedicine

Top Tweeters
Top Tweeters in Entire Graph:
@amazonhelp
@filafresh
@dichristine
@hrblock_21
@united
@cloudwanderer3
@delta
@rjber15
@inabster
@southwestair

Top Tweeters in G1:
@filafresh
@dichristine
@southwestair
@salvadorpano
@sddphoto
@chantelldawnsny
@muzikscribe
@ndtv
@vedehimajumdar
@cwharlow

Top Tweeters in G2:
@princessbravato
@amyayers16
@cotey_mary
@cnbsnana
@pamcurtis4210
@lawgirl318
@funnagan
@mikereesem
@jrweaver55
@politeperson123

Top Tweeters in G3:
@inabster
@onahunttoday
@menabster
@thehill
@jilevin
@princessbibirf_
@businessinsider
@guardian
@business
@reuters

Top Tweeters in G4:
@cloudwanderer3
@njdoc
@adekleine
@scopedbylarry
@adnanserpen
@geoffypjohnston
@connielnash
@craigmatsuda
@burritojustice
@753112jma

Top Tweeters in G5:
@rjber15
@alizardx
@tiniskwerl
@jayoung1892
@kals55
@alcinx
@klingensmith_j
@safetymentalst
@wistatejournal
@ems_information

Top Tweeters in G6:
@dailymirror
@telegraph
@dailymailuk
@dwnews
@ft
@washtimes
@afp
@gulf_news
@thetimes
@telegraphnews

Top Tweeters in G7:
@hrblock_21
@nypost
@jeb1149
@annacountessk
@wandafay
@cbsnewyork
@matthewjshow
@dandielayla
@fanaticraven
@lawb85021743

Top Tweeters in G8:
@browngravy_93
@detroitnews
@freep
@abc7chicago
@nbcchicago
@emilahp
@fox32news
@woodtv
@cbschicago
@wgnnews

Top Tweeters in G9:
@sp1coli1983
@lexhoogduin
@luvman33wife
@dietukkerfries
@merlotvine
@olifant
@misterblok
@jaapstronks
@kcbankruptcy
@american_damn

Top Tweeters in G10:
@metz_chance
@realmattcouch
@buzzfeed
@drnealhouston
@spauldingshowal
@zerowarningshot
@kfor
@jamesle69338171
@gatewaypundit
@johncardillo