@CDCgov OR @CDC_eHealth OR @CDCemergency, Twitter, 1/11/2019 9:35:52 PM, 181587


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@CDCgov OR @CDC_eHealth OR @CDCemergency_2019-01-11_12-46-11.xlsx
@CDCgov OR @CDC_eHealth OR @CDCemergency_2019-01-11_12-46-11.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 11, 2019
Short Description:
@CDCgov OR @CDC_eHealth OR @CDCemergency via NodeXL http://bit.ly/2D3NJFr
@cdcgov
@cdcemergency
@tjferris2
@cdc_ehealth
@juliebabyar
@cdcheart_stroke
@sidneypowell1
@dmaccannell
@gandharvags
@ianfmusgrave

Top hashtags:
#wednesdaywisdom
#health
#newyear
#emergency

Description:
Description
The graph represents a network of 4,950 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, 11 January 2019 at 20:48 UTC.

The requested start date was Friday, 11 January 2019 at 01:01 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 8-day, 6-hour, 17-minute period from Wednesday, 02 January 2019 at 18:42 UTC to Friday, 11 January 2019 at 01:00 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 : 4950
Unique Edges : 9221
Edges With Duplicates : 15455
Total Edges : 24676
Number of Edge Types : 3
Mentions : 23416
Replies to : 1174
Tweet : 86
Self-Loops : 86
Reciprocated Vertex Pair Ratio : 0.0567865869070688
Reciprocated Edge Ratio : 0.107470302160568
Connected Components : 33
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 4912
Maximum Edges in a Connected Component : 24656
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.053544
Graph Density : 0.000512010384711941
Modularity : 0.385425
NodeXL Version : 1.0.1.407

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[133] http://bit.ly/2VyNKZg
[72] https://www.cdc.gov/features/smokingcessation/index.html?s_cid=TW_OSH_0144
[55] https://www.cdc.gov/flu/about/qa/coldflu.htm?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100000426158726&utm_campaign=Proactive&linkId=100000004517936
[44] https://www.nbcnews.com/health/health-news/new-york-fighting-its-worst-outbreak-measles-decades-n955891
[24] https://www.cdc.gov/chronicdisease/resources/infographic/new-year.htm
[15] http://on.ktla.com/Q7wxV
[15] https://www.cdc.gov/cancer/breast/basic_info/prevention.htm
[13] https://www.cdc.gov/mmwr/volumes/67/wr/mm675152a2.htm
[8] https://www.cdc.gov/mmwr/volumes/67/wr/mm675152e1.htm
[8] http://www.crookstontimes.com/news/20190101/minnesota-to-receive-cdc8200funds-to-address-diabetes-heart-disease

Top URLs in Tweet in G1:
[127] http://bit.ly/2VyNKZg
[70] https://www.cdc.gov/features/smokingcessation/index.html?s_cid=TW_OSH_0144
[53] https://www.cdc.gov/flu/about/qa/coldflu.htm?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100000426158726&utm_campaign=Proactive&linkId=100000004517936
[24] https://www.cdc.gov/chronicdisease/resources/infographic/new-year.htm
[15] http://on.ktla.com/Q7wxV
[14] https://www.cdc.gov/cancer/breast/basic_info/prevention.htm
[11] https://www.cdc.gov/mmwr/volumes/67/wr/mm675152a2.htm
[8] https://www.cdc.gov/mmwr/volumes/67/wr/mm675152e1.htm
[8] http://www.crookstontimes.com/news/20190101/minnesota-to-receive-cdc8200funds-to-address-diabetes-heart-disease
[7] http://ow.ly/w62630ndzEO

Top URLs in Tweet in G2:
[4] https://twitter.com/ravensspirit68/status/1081673503332458496
[4] https://www.webmd.com/arthritis/news/20160317/acetaminophen-wont-help-arthritis-pain-study-finds
[2] https://www.kff.org/news-summary/more-than-120-u-n-member-states-sign-u-s-drafted-pledge-to-fight-global-drug-problem/
[1] https://twitter.com/reversechapter/status/1082335293242515457
[1] https://twitter.com/cdcinjury/status/1082253167176417280
[1] https://twitter.com/jmkillingnyc/status/1082786945124704256
[1] https://twitter.com/jgillespie67/status/1082879845430747136
[1] https://edsinfo.wordpress.com/2016/09/08/cdc-guidelines-refuted-with-scientific-evidence/amp/?__twitter_impression=true
[1] https://twitter.com/stanfordhp/status/1082353277990187008
[1] https://twitter.com/thomasklinemd/status/1082747449284923392

Top URLs in Tweet in G3:
[3] https://twitter.com/adomantholdings/status/1082715241400668161?s=21
[3] https://www.cdc.gov/drugresistance/pdf/3-2013-508.pdf
[2] http://bit.ly/2VyNKZg
[2] https://vaxxter.com/4-year-old-vaccinated-child-placed-on-life-support-following-battle-with-flu/
[2] https://mayocl.in/2LXYnQX
[2] https://supremecourt.gov/search.aspx?fi
[2] https://www.cdc.gov/media/releases/2018/p1129-tick-spreading-widely.html
[2] https://www.youtube.com/watch?v=bHSRwhceBxk

[2] https://www.youtube.com/watch?v=5rZn1xccrig

[2] https://www.ncbi.nlm.nih.gov/pubmed/8153237

Top URLs in Tweet in G4:
[3] https://www.cdc.gov/flu/protect/preventing.htm
[2] http://ow.ly/hwbK30ndY89
[2] http://ow.ly/yq0V30ndROQ
[2] http://emry.link/b1sCED
[1] http://ow.ly/b6uh30nb5zU
[1] https://www.cdc.gov/cpr/pandemictrail/?platform=hootsuite
[1] http://ow.ly/Kdtl30n920p
[1] https://www.cdc.gov/cpr/partnerships/state-pages/maryland.htm?platform=hootsuite
[1] https://www.cdc.gov/cpr/prepareyourhealth/PracticalSkills.htm?platform=hootsuite
[1] http://ow.ly/hqLL30nbkfF

Top URLs in Tweet in G5:
[2] https://www.cdc.gov/bam/life/frazzled.html
[2] http://bit.ly/2VyNKZg
[2] https://pennwatch.org/coverage-for-lyme-disease-treatment-a-top-priority/
[2] https://ehss.energy.gov/ohre/roadmap/roadmap/index.html
[2] https://www.youtube.com/watch?v=_n52n306nYU&feature=youtu.be

[1] https://twitter.com/OconnorPeggy/status/1073313379085889537
[1] https://twitter.com/KatherineHunt15/status/1080215603791695872
[1] https://twitter.com/JoeAllenNewman/status/1080335849626234880
[1] https://twitter.com/npr/status/1083212334833827841
[1] https://twitter.com/soltysik_rob/status/1082660302636883969

Top URLs in Tweet in G6:
[44] https://www.nbcnews.com/health/health-news/new-york-fighting-its-worst-outbreak-measles-decades-n955891
[1] http://bit.ly/2xLqQTA
[1] https://twitter.com/toxfreefuture/status/1083050622314721280
[1] https://wwwnc.cdc.gov/travel/page/world-map-areas-with-zika

Top URLs in Tweet in G7:
[4] http://www.philly.com/health/adverse-childhood-experiences-teenage-obesity-20190108.html?__vfz=medium%3Dsharebar
[3] https://jamanetwork.com/journals/jama/article-abstract/2712935
[2] https://bit.ly/2RxL8f7
[2] https://go.usa.gov/xPGcF
[2] https://tools.cdc.gov/medialibrary/index.aspx#/media/id/303895
[2] https://twitter.com/CDCgov/status/1082348899493466112
[2] https://www.state.nj.us/cgi-bin/dhss/healthfacilities/hospitaldisplay.pl?id=23116
[2] https://www.cato.org/blog/todays-iv-drug-abusers-were-not-yesterdays-patients
[1] https://twitter.com/9_11_IsAnInside/status/1083195320178102272
[1] https://www.youth.gov/youth-topics/substance-abuse/critical-elements-substance-abuse-prevention-efforts

Top URLs in Tweet in G8:
[4] https://www.ncbi.nlm.nih.gov/m/pubmed/21550934/?i=4&from=/19880568/related
[3] https://twitter.com/mel_faith1/status/1068120843996274688
[3] https://twitter.com/DailyMail/status/1079956099783163904
[2] http://nomas.org/sanders-report-part/
[2] https://www.ncbi.nlm.nih.gov/m/pubmed/19880568/
[1] http://ow.ly/iDXD30nfOJh
[1] https://scholar.google.com.au/scholar?hl=en&as_sdt=0%2C5&q=vaccine+safety+studies&oq=vacc
[1] https://twitter.com/ThomasKlineMD/status/1020881703424978944
[1] https://twitter.com/madncmoms/status/1081145714565095424
[1] http://VaccineDebate.org

Top URLs in Tweet in G9:
[1] https://www.mdnxs.com/topics-2/allergy-and-immunology/immune-hypersensitivity/
[1] https://www.tandfonline.com/doi/abs/10.1080/21645515.2018.1560771
[1] https://www.tandfonline.com/doi/abs/10.1080/21645515.2018.1480237
[1] https://www.sciencedirect.com/science/article/pii/S1876285918303097
[1] https://www.dailymail.co.uk/health/article-6569129/amp/Worst-measles-outbreak-decades-sweeps-New-York-cases-surge-Oregon-Washington-abroad.html?__twitter_impression=true
[1] https://sharylattkisson.com/2019/01/06/dr-andrew-zimmermans-full-affidavit-on-alleged-link-between-vaccines-and-autism-that-u-s-govt-covered-up/
[1] http://fullmeasure.news/news/cover-story/the-vaccination-debate
[1] https://www.cdc.gov/vaccinesafety/concerns/autism.html
[1] https://www.ncbi.nlm.nih.gov/m/pubmed/23609067/?i=3&from=%2F17114826%2Frelated&fbclid=IwAR0A8Cpkrv-SnV6tdHDgTYONwzFHhBdKkKAM1_Ka3mbIF_JbSJIab6_Dp6s
[1] https://www.collective-evolution.com/2018/03/30/daughter-of-autism-speaks-founder-shares-shocking-information-about-vaccines/

Top URLs in Tweet in G10:
[5] http://ow.ly/rz0C30ncv00
[2] https://twitter.com/GandharvaGs/status/1083196625919623168
[2] https://twitter.com/GandharvaGs/status/1082826537567744001
[1] https://espidmeeting.org/webcasts-to-watch-in-2018/
[1] https://espidmeeting.org/webcasts-to-watch-in-2018/polio-eradication-2/
[1] https://twitter.com/GandharvaGs/status/1082604282812100608
[1] https://twitter.com/CDCDirector/status/1081294715331510272
[1] http://ow.ly/OJhq30ndGmr
[1] http://polioeradication.org/who-we-are/partners/
[1] http://ow.ly/l3Ne30ndIH0

Top Domains
Top Domains in Tweet in Entire Graph:
[517] cdc.gov
[223] bit.ly
[187] twitter.com
[62] ow.ly
[44] nbcnews.com
[24] usa.gov
[23] youtube.com
[18] nih.gov
[15] ktla.com
[11] alliedacademies.com

Top Domains in Tweet in G1:
[428] cdc.gov
[196] bit.ly
[40] twitter.com
[25] ow.ly
[15] ktla.com
[12] usa.gov
[9] buff.ly
[8] crookstontimes.com
[5] youtube.com
[5] hlty.us

Top Domains in Tweet in G2:
[33] twitter.com
[5] webmd.com
[3] youtube.com
[2] kff.org
[2] hhs.gov
[2] acsh.org
[2] cdc.gov
[1] wordpress.com
[1] medium.com
[1] kmbc.com

Top Domains in Tweet in G3:
[34] twitter.com
[7] cdc.gov
[6] bit.ly
[6] youtube.com
[2] vaxxter.com
[2] mayocl.in
[2] supremecourt.gov
[2] fhfaoig.gov
[2] nih.gov
[2] vacps.org

Top Domains in Tweet in G4:
[18] ow.ly
[9] cdc.gov
[5] twitter.com
[2] bit.ly
[2] emry.link
[1] usa.gov
[1] miamiherald.com
[1] jwatch.us
[1] nbcbayarea.com

Top Domains in Tweet in G5:
[24] twitter.com
[9] cdc.gov
[3] bit.ly
[3] youtube.com
[3] meaction.net
[2] pennwatch.org
[2] cfidsreport.com
[2] energy.gov
[1] houstonchronicle.com
[1] fdanews.com

Top Domains in Tweet in G6:
[44] nbcnews.com
[1] bit.ly
[1] twitter.com
[1] cdc.gov

Top Domains in Tweet in G7:
[8] twitter.com
[7] usa.gov
[5] bit.ly
[4] philly.com
[4] jamanetwork.com
[2] train.org
[2] cdc.gov
[2] nj.us
[2] cato.org
[1] youth.gov

Top Domains in Tweet in G8:
[10] twitter.com
[6] nih.gov
[2] nomas.org
[1] ow.ly
[1] com.au
[1] vaccinedebate.org
[1] cdc.gov
[1] google.com
[1] youtube.com
[1] buzzvideo.com

Top Domains in Tweet in G9:
[3] nih.gov
[2] tandfonline.com
[1] mdnxs.com
[1] sciencedirect.com
[1] co.uk
[1] sharylattkisson.com
[1] fullmeasure.news
[1] cdc.gov
[1] collective-evolution.com
[1] ingentaconnect.com

Top Domains in Tweet in G10:
[8] twitter.com
[8] ow.ly
[2] espidmeeting.org
[1] polioeradication.org
[1] youtube.com
[1] theguardian.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[200] wednesdaywisdom
[114] health
[91] newyear
[91] emergency
[72] flu
[67] vaccines
[66] dyk
[64] autism
[62] cfsac
[57] disaster



Top Hashtags in Tweet in G1:
[190] wednesdaywisdom
[69] newyear
[44] pregnant
[39] dyk
[35] cancer
[33] flu
[24] pertussis
[23] diabetes
[23] folic
[20] parents

Top Hashtags in Tweet in G2:
[26] therealopioidcrisis
[26] pain
[23] chronicpain
[22] opioids
[20] cpp
[18] illicit
[10] opioid
[9] cdc
[9] opioidhysteria
[7] suicideduetopain

Top Hashtags in Tweet in G3:
[54] autism
[51] vaccines
[18] vaccinescauseautism
[16] flu
[15] infectiousdiseases
[14] chronicpain
[8] truth
[6] opioidhysteria
[5] vaccinedamage
[4] opioids

Top Hashtags in Tweet in G4:
[90] emergency
[79] health
[55] disaster
[17] prepyourhealth
[16] dyk
[16] fluseason
[14] winter
[13] influenza
[6] newyear
[5] 1918flu

Top Hashtags in Tweet in G5:
[62] cfsac
[31] pwme
[24] myalgicencephalomyelitis
[20] cdc
[19] uganda
[14] chroniclyme
[11] myalgice
[11] hhs
[8] lyme
[7] acuteflaccidmyelitis

Top Hashtags in Tweet in G6:
[44] sanctuarycities
[44] buildthewall
[1] sodium
[1] trumpaddress
[1] maga
[1] outlawcities
[1] stopillegalimmigration
[1] msm
[1] wh
[1] sowrong

Top Hashtags in Tweet in G7:
[12] ce
[10] concussion
[7] i2
[5] ces
[5] projet
[4] legionella
[4] water
[4] legionnaires
[4] opioids
[4] obesity

Top Hashtags in Tweet in G8:
[3] chronicpain
[2] hepatitis
[1] diet
[1] romainelettuce
[1] spoonie
[1] spoonies
[1] shareourpain
[1] opioidhysteria
[1] opioidcrisis
[1] suicideduetopain

Top Hashtags in Tweet in G9:
[7] vaccines
[6] autism
[4] vaccineswork
[3] vaccine
[2] flu
[2] hpv
[2] vaccination
[1] respectchoice
[1] cdc
[1] acip

Top Hashtags in Tweet in G10:
[7] paediatric
[7] infectiousdiseases
[7] neonatal
[3] vaccines
[3] influenza
[2] polio
[2] pneumococcal
[2] fightflu
[1] microbiome
[1] dna

Top Words
Top Words in Tweet in Entire Graph:
[2755] Words in Sentiment List#1: Positive
[4791] Words in Sentiment List#2: Negative
[29] Words in Sentiment List#3: Angry/Violent
[125565] Non-categorized Words
[133111] Total Words
[3854] cdcgov
[611] flu
[491] more
[476] health
[441] outbreak

Top Words in Tweet in G1:
[1938] cdcgov
[404] flu
[336] outbreak
[292] learn
[267] year
[244] cold
[237] states
[218] health
[207] more
[207] sure

Top Words in Tweet in G2:
[427] cdcgov
[237] pain
[173] headdock
[141] pithypins
[134] rlamartini
[131] aunttritsy
[131] spicypurritos
[127] kevinmfilms
[126] equalitycouple
[122] veryfinewhine

Top Words in Tweet in G3:
[280] cdcgov
[119] truthsearch1957
[118] beyondthebantr
[118] foreclosureoz
[118] stopfraud4
[112] adomantholdings
[109] musser_benson
[98] realdonaldtrump
[95] nadiaskin1
[94] laserhaas01

Top Words in Tweet in G4:
[274] cdcemergency
[97] cdcgov
[84] health
[80] handwashing
[71] here
[68] important
[68] everyone
[62] emergency
[58] one
[58] disaster

Top Words in Tweet in G5:
[440] cdcgov
[363] nih
[247] turnitup4me
[225] meactnet
[118] µðÿ
[100] 2
[100] gabbyklein1
[79] christi194513
[76] patients
[76] allisondhaynes

Top Words in Tweet in G6:
[54] cdcemergency
[50] vp
[49] indystar
[49] foxindianapolis
[49] dod_ig
[49] sidneypowell1
[48] indiananews
[48] firstonfox
[48] iheartradio
[48] dalailama

Top Words in Tweet in G7:
[91] cdcgov
[73] cdc_ehealth
[33] health
[26] learn
[26] new
[22] danbidondi
[21] mtbi
[20] take
[18] cdcinjury
[16] free

Top Words in Tweet in G8:
[52] cdcgov
[12] foxnews
[11] nih
[11] cdc
[10] study
[9] cnn
[9] nbcnews
[8] â
[8] thechildrenare1
[8] purplesgem

Top Words in Tweet in G9:
[71] cdcgov
[38] chrisjohnsonmd
[37] andreaowoodruff
[36] toppediatrician
[36] grumfromnorwich
[36] viva__lala
[35] boxmenot
[35] t3tragrammat0n
[34] doritmi
[33] weaponizedword1

Top Words in Tweet in G10:
[35] cdcgov
[9] espid_society
[9] nfidvaccines
[8] free
[7] enjoy
[7] high
[7] yield
[7] paediatric
[7] infectiousdiseases
[7] lectures

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[240] cold,flu
[240] nih,cdcgov
[202] romaine,lettuce
[198] flu,cdcgov
[197] sure,cold
[197] cdcgov,shows
[197] shows,tell
[197] tell,difference
[196] meactnet,nih
[193] difference,wednesdaywisdom

Top Word Pairs in Tweet in G1:
[226] cold,flu
[190] flu,cdcgov
[189] sure,cold
[189] cdcgov,shows
[189] shows,tell
[189] tell,difference
[185] difference,wednesdaywisdom
[182] hhsgov,sure
[177] romaine,lettuce
[145] 16,states

Top Word Pairs in Tweet in G2:
[88] karijhat,rosesdaughter61
[76] ladyag72,jsg_54
[76] aunttritsy,soofriends
[76] rachjr1,morse_tami
[76] morse_tami,robertdrosejr1
[76] lindash84619011,veryfinewhine
[76] veryfinewhine,alexandcohen
[75] talkeetna101,wanita1
[74] soofriends,moogiemonsters
[74] moogiemonsters,stillhopes4best

Top Word Pairs in Tweet in G3:
[117] truthsearch1957,foreclosureoz
[89] nadiaskin1,truthsearch1957
[83] laserhaas01,beyondthebantr
[83] beyondthebantr,nadiaskin1
[80] stopfraud4,ourkidz3
[76] foreclosureoz,stopfraud4
[60] cdcgov,us_fda
[57] adomantholdings,laserhaas01
[43] nra,cdcgov
[40] musser_benson,adomantholdings

Top Word Pairs in Tweet in G4:
[54] here,3
[54] 3,reasons
[54] reasons,handwashing
[54] handwashing,soap
[54] soap,water
[54] water,one
[54] one,important
[54] important,steps
[54] steps,take
[54] take,avoid

Top Word Pairs in Tweet in G5:
[238] nih,cdcgov
[195] meactnet,nih
[117] µðÿ,µðÿ
[107] turnitup4me,meactnet
[79] christi194513,meactnet
[54] u,r
[43] study,patients
[38] m,e
[38] gabbyklein1,turnitup4me
[32] rebshloima,christi194513

Top Word Pairs in Tweet in G6:
[49] indystar,foxindianapolis
[48] vp,indiananews
[48] indiananews,indystar
[48] foxindianapolis,firstonfox
[48] firstonfox,cdcemergency
[48] cdcemergency,iheartradio
[48] iheartradio,dalailama
[48] dalailama,pontifex
[48] pontifex,ewtnnewsnightly
[48] ewtnnewsnightly,dod_ig

Top Word Pairs in Tweet in G7:
[23] cdcgov,cdc_ehealth
[22] danbidondi,cdcgov
[14] public,health
[12] free,ce
[12] johansanchez150,danbidondi
[11] amacadpeds,cdcgov
[10] ce,mild
[10] mild,traumatic
[10] traumatic,brain
[10] brain,injury

Top Word Pairs in Tweet in G8:
[11] cdcgov,nih
[6] ðÿ,ðÿ
[5] thechildrenare1,purplesgem
[5] purplesgem,cdcgov
[5] domestic,violence
[5] national,crisis
[5] hi,repmarkgreen
[5] repmarkgreen,see
[5] see,youâ
[5] youâ,re

Top Word Pairs in Tweet in G9:
[35] viva__lala,andreaowoodruff
[35] andreaowoodruff,t3tragrammat0n
[32] boxmenot,viva__lala
[32] t3tragrammat0n,alc_anthro
[32] alc_anthro,weaponizedword1
[32] mcfunny,plasticdoe
[32] plasticdoe,tprmaynard7
[32] emmagpaley,just4thecause
[32] just4thecause,docmelliott
[32] docmelliott,asiamoonbloom

Top Word Pairs in Tweet in G10:
[7] enjoy,free
[7] free,high
[7] high,yield
[7] yield,paediatric
[7] paediatric,infectiousdiseases
[7] infectiousdiseases,lectures
[7] lectures,espid_society
[7] espid_society,topics
[7] topics,include
[7] include,neonatal

Top Replied-To
Top Replied-To in Entire Graph:
@cdcgov
@vp
@pattymurray
@headdock
@realdonaldtrump
@jgillespie67
@turnitup4me
@allisondhaynes
@musser_benson
@itsmepanda1

Top Replied-To in G1:
@cdcgov
@pattymurray
@ktla
@mrsliberator
@hhsgov
@cmsh1969
@chelseaclinton
@movanhook
@randanicki
@michiganhhs

Top Replied-To in G2:
@headdock
@jgillespie67
@cdcgov
@pithypins
@chaddkollas
@thomasklinemd
@_aebj_
@giazillarawrr
@kevinmfilms
@heatherlinda11

Top Replied-To in G3:
@realdonaldtrump
@cdcgov
@musser_benson
@blair_houghton
@lquessenberry
@flenerdwaine
@adomantholdings
@trumpateam
@usernam96614015
@princereebus

Top Replied-To in G4:
@cdcemergency
@cdcgov
@antkristi
@realdonaldtrump
@laurenkossy
@cdcflu
@joeyyeo13

Top Replied-To in G5:
@turnitup4me
@allisondhaynes
@wigglethemouse
@erikmoldwarrior
@dakotalyme
@cdcgov
@gabbyklein1
@meactnet
@annespacecoast
@rebshloima

Top Replied-To in G6:
@vp
@sidneypowell1
@cdcemergency
@cr_827
@browardsheriff
@crimdivision
@repmcgovern
@sciencenews
@aplmom
@usaforpotus

Top Replied-To in G7:
@johansanchez150
@stonedape86
@mindofown
@joseph4gi
@cdcgov
@cdc_ehealth
@b_zappy
@drstevecook
@cdcemergency
@bigspreadalert

Top Replied-To in G8:
@cdcgov
@kamalaharris
@thechildrenare1
@vanillabrit_
@kevin_tuttle76
@helensmomma
@cnn
@potus
@libertariancat1
@dailynation

Top Replied-To in G9:
@itsmepanda1
@carla_thinks
@takethatcdc
@toppediatrician
@bradrherrin
@btrgoforit
@dansmonkeyshack
@doritmi
@wendyorent
@collchris

Top Replied-To in G10:
@who
@emergence_mah
@cdcgov
@nfidvaccines
@nprhealth

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@cdcemergency
@nih
@hhsgov
@turnitup4me
@meactnet
@headdock
@us_fda
@pithypins
@aunttritsy

Top Mentioned in G1:
@cdcgov
@hhsgov
@pacificstand
@pattymurray
@ktla
@movanhook
@amermedicalassn
@txhealthjournal
@chronicrights

Top Mentioned in G2:
@cdcgov
@headdock
@pithypins
@aunttritsy
@rlamartini
@spicypurritos
@equalitycouple
@veryfinewhine
@jsg_54
@kevinmfilms

Top Mentioned in G3:
@cdcgov
@beyondthebantr
@foreclosureoz
@stopfraud4
@truthsearch1957
@adomantholdings
@musser_benson
@nadiaskin1
@laserhaas01
@us_fda

Top Mentioned in G4:
@cdcemergency
@cdcgov
@cdcflu
@emap_us
@apa_planning
@emoryuniversity
@potus
@prepareathon
@csac_counties
@amermedicalassn

Top Mentioned in G5:
@cdcgov
@nih
@turnitup4me
@meactnet
@gabbyklein1
@christi194513
@rebshloima
@allisondhaynes
@nihdirector
@meflattened

Top Mentioned in G6:
@cdcemergency
@dod_ig
@indiananews
@indystar
@iheartradio
@dalailama
@pontifex
@ewtnnewsnightly

Top Mentioned in G7:
@cdcgov
@cdc_ehealth
@danbidondi
@cdcinjury
@ameracadpeds
@amacadpeds
@samhsagov
@cdcemergency
@phillydotcom

Top Mentioned in G8:
@cdcgov
@foxnews
@nih
@nbcnews
@cnn
@purplesgem
@abc
@thechildrenare1
@repmarkgreen
@potus

Top Mentioned in G9:
@cdcgov
@chrisjohnsonmd
@andreaowoodruff
@grumfromnorwich
@viva__lala
@t3tragrammat0n
@boxmenot
@weaponizedword1
@mcfunny
@plasticdoe

Top Mentioned in G10:
@cdcgov
@espid_society
@nfidvaccines
@dreimearkitt
@who_europe
@cdcdirector
@cdc_ehealth
@cdcemergency
@unicef
@goodhealth

Top Tweeters
Top Tweeters in Entire Graph:
@littlebytesnews
@delta
@chuddles11
@ethersvoice
@thereal_rebel
@willseattle
@asher_wolf
@paxnostrum
@strategicpolicy
@businessinsider

Top Tweeters in G1:
@chuddles11
@ethersvoice
@thereal_rebel
@willseattle
@dylanesque2604
@thehill
@bkindngood
@sandyc1772
@loyalfan1
@cleandropmobile

Top Tweeters in G2:
@stockguy61
@jsavoly
@stevekloscak
@cynicalvision50
@carolyncolson
@agent_it
@upyours555
@osaxy
@starvinlarry
@picardonhealth

Top Tweeters in G3:
@mcdonalds
@ask_wellsfargo
@considerthis1
@time
@kag4all
@rt_com
@leesutton4
@wsj
@svagdis
@aspiesmom

Top Tweeters in G4:
@strategicpolicy
@de_plazza
@joeyyeo13
@l4aj
@dcarsoncpa_nyc
@adekleine
@dcarsoncpa_catx
@cybervenus
@vievararosel
@jpblough

Top Tweeters in G5:
@kimvie
@business
@quintinoncamera
@nytimes
@bostonglobe
@washingtonpost
@abc7news
@saludhealthinfo
@ucena53
@nfl

Top Tweeters in G6:
@littlebytesnews
@steph93065
@lochthescot
@fox10phoenix
@indystar
@jajones338
@wpbf25news
@jaketapper
@fox13news
@fidtradz101

Top Tweeters in G7:
@delta
@peta
@qcheur
@phillydotcom
@lionelreichardt
@eclinicaltrial
@skeeterpeg83
@latribune
@lonelyplanet
@mjfit

Top Tweeters in G8:
@dailynation
@foxnews
@reuters
@bbcworld
@nbcbayarea
@cnbc
@abc
@ap
@tannersdad
@cnn

Top Tweeters in G9:
@itsmepanda1
@veritasever
@doritmi
@vbalance03
@keithlaw
@joegooding
@luma923
@ebonymckenna
@danaelizabeth69
@juliann990

Top Tweeters in G10:
@indianexpress
@timesofindia
@mataonline
@goodhealth
@lotusoak
@naturenews
@nythealth
@reuters_health
@ungeneva
@bbcnewsasia