@CDCgov OR @CDC_eHealth OR @CDCemergency, Twitter, 12/7/2019 11:49:38 PM, 218358


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@CDCgov OR @CDC_eHealth OR @CDCemergency_2019-12-07_07-41-57.xlsx
@CDCgov OR @CDC_eHealth OR @CDCemergency_2019-12-07_07-41-57.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 07, 2019
Short Description:
@CDCgov OR @CDC_eHealth OR @CDCemergency via NodeXL http://bit.ly/350hJ0L
@cdcgov
@cdcemergency
@tv_motorious
@cdc_ehealth
@nighealthwatch
@sporkdr
@lilagracerose
@orygun4rod
@avoiceforchoice
@aransfak

Top hashtags:
#thanksgiving
#flu
#vape
#fluvaccine
#vitamine
#thc

Description:
Description
The graph represents a network of 4,847 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 Saturday, 07 December 2019 at 15:48 UTC.

The requested start date was Saturday, 07 December 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 3-day, 5-hour, 39-minute period from Wednesday, 27 November 2019 at 02:38 UTC to Saturday, 30 November 2019 at 08:18 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 : 4847
Unique Edges : 9560
Edges With Duplicates : 6202
Total Edges : 15762
Number of Edge Types : 3
Mentions : 14559
Replies to : 1078
Tweet : 125
Self-Loops : 125
Reciprocated Vertex Pair Ratio : 0.0217196996782267
Reciprocated Edge Ratio : 0.0425159653573616
Connected Components : 19
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 4827
Maximum Edges in a Connected Component : 15740
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.740546
Graph Density : 0.000486662401895867
Modularity : 0.5048
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,847 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 Saturday, 07 December 2019 at 15:48 UTC.

The requested start date was Saturday, 07 December 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 3-day, 5-hour, 39-minute period from Wednesday, 27 November 2019 at 02:38 UTC to Saturday, 30 November 2019 at 08:18 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:
[48] https://www.rsph.org.uk/about-us/news/nicotine--no-more-harmful-to-health-than-caffeine-.html?fbclid=IwAR2kjl5NufDRprbROk9SrwEz2tmr_SJ45rNvS3fJBcKRwkEBCZo1bEL0uIo#.Xd1i_jAV9Pw.facebook
[29] https://www.cdc.gov/ecoli/2019/o157h7-11-19/index.html
[20] https://www.cdc.gov/mmwr/volumes/68/ss/ss6811a1.htm?s_cid=ss6811a1_w
[11] https://www.cdc.gov/foodsafety/communication/holiday-turkey.html
[9] https://www.cdc.gov/diabetes/library/spotlights/getting-screened.html
[8] https://thehill.com/policy/healthcare/472223-fda-faces-fire-from-researchers-saying-it-has-not-prioritized-e-cigarette#
[8] https://www.cdc.gov/drugresistance/biggest-threats.html
[8] https://www.cdc.gov/ecoli/2019/o157h7-11-19/faq.html
[8] https://www.cdc.gov/mmwr/volumes/68/wr/mm6847a1.htm?s_cid=mm6847a1_e
[8] https://www.cdc.gov/mmwr/volumes/68/wr/mm6847e1.htm?s_cid=mm6847e1_w

Top URLs in Tweet in G1:
[23] https://www.cdc.gov/ecoli/2019/o157h7-11-19/index.html
[20] https://www.cdc.gov/mmwr/volumes/68/ss/ss6811a1.htm?s_cid=ss6811a1_w
[8] https://www.cdc.gov/diabetes/library/spotlights/getting-screened.html
[8] https://www.cdc.gov/foodsafety/communication/holiday-turkey.html
[7] https://www.cdc.gov/features/turkeytime/index.html
[7] https://www.cdc.gov/drugresistance/biggest-threats.html
[7] https://www.cdc.gov/ecoli/2019/o157h7-11-19/faq.html
[6] https://www.nbcnews.com/nightly-news/video/growing-outbreak-romaine-lettuce-linked-to-67-cases-of-e-coli-cdc-warns-74134597658
[5] https://www.cdc.gov/lunginjury
[4] https://www.cdc.gov/vitalsigns/ACEs

Top URLs in Tweet in G2:
[48] https://www.rsph.org.uk/about-us/news/nicotine--no-more-harmful-to-health-than-caffeine-.html?fbclid=IwAR2kjl5NufDRprbROk9SrwEz2tmr_SJ45rNvS3fJBcKRwkEBCZo1bEL0uIo#.Xd1i_jAV9Pw.facebook
[8] https://thehill.com/policy/healthcare/472223-fda-faces-fire-from-researchers-saying-it-has-not-prioritized-e-cigarette#
[2] https://www.cdc.gov/nchs/nhanes/index.htm
[2] https://www.cdc.gov/mmwr/volumes/68/wr/mm6847e1.htm?s_cid=mm6847e1_w
[2] https://twitter.com/bruno_j_navarro/status/1199417038776733696
[2] https://twitter.com/CASAAmedia/status/1199737319995129865
[2] https://www.realclearpolicy.com/articles/2019/11/22/heads_should_roll_at_cdc_after_botched_vaping_investigation_111314.html
[2] https://www.realclearpolicy.com/articles/2019/11/22/heads_should_roll_at_cdc_after_botched_vaping_investigation_111314.html?fbclid=IwAR308uvbJDIYHYb0hMp58lPnk7pMKMyn5EyIi6qPooRLJGW0_E7U5zMpH7A
[2] https://www.engadget.com/2019/11/02/china-tells-online-stores-to-stop-selling-e-cigarettes/
[1] https://www.cdc.gov/vitalsigns/ACEs

Top URLs in Tweet in G3:
[3] http://K11Superamerica.blogspot.com
[2] https://mailchi.mp/nigeriahealthwatch/top-ten-news-items-on-health-22-november-2019
[2] https://medium.com/@visualvaccines/graphic-proof-that-vaccines-work-with-sources-61c199429c8c
[1] https://twitter.com/MoHFW_INDIA/status/1199273205392797696
[1] https://twitter.com/vapeindia/status/1199662439702450176
[1] https://twitter.com/vapeindia/status/1199952402842939392
[1] https://twitter.com/vapeindia/status/1200059678798966790
[1] https://twitter.com/SoorajS90359728/status/1200062359177326592
[1] https://twitter.com/Arindroid/status/1200067679517696000
[1] https://twitter.com/vapeindia/status/1200067197567209477

Top URLs in Tweet in G4:
[4] https://clickgethealthy.com/2019/11/24/weight-loss-swimming-workout/
[2] https://twitter.com/DrKND/status/1190130273435836417
[2] https://twitter.com/CasparKashkin/status/1190096878819405824
[2] https://twitter.com/gnobreakthrough/status/1091123873339371521
[2] https://twitter.com/gnobreakthrough/status/1046950569141817345
[2] https://twitter.com/gnoBREAKTHROUGH/status/1173845063635369985
[2] https://twitter.com/DrKND/status/1173926314539044865
[2] https://twitter.com/HighWireTalk/status/1174015443062927360
[2] https://twitter.com/epochchanger/status/1174794243132420096
[2] https://twitter.com/HighWireTalk/status/1174745017958596609

Top URLs in Tweet in G5:
[8] https://www.cdc.gov/mmwr/volumes/68/wr/mm6847a1.htm?s_cid=mm6847a1_e
[2] https://www.healio.com/infectious-disease/influenza/news/online/%7Ba2648901-778d-4906-b389-ea675ac36cea%7D/an-unusual-start-to-flu-season-influenza-b-predominates-early
[2] https://www.cdc.gov/drugresistance/pdf/3-2013-508.pdf
[1] https://sciencebasedmedicine.org/fake-diagnoses-not-fake-diseases/
[1] https://www.cdc.gov/cdiff/reducing.html?deliveryName=USCDC_425-DHQP-DM12645
[1] https://www.idsociety.org/practice-guideline/clostridium-difficile/
[1] https://www.cnn.com/2019/11/27/health/e-coli-multistate-outbreak-romaine-lettuce/index.html
[1] https://www.cdc.gov/pcd/issues/2018/18_0148.htm
[1] https://jamanetwork.com/journals/jama/fullarticle/2756191?utm_source=twitter&utm_campaign=content-shareicons&utm_content=article_engagement&utm_medium=social&utm_term=112919#.XeELUS-46Fo.twitter
[1] https://academic.oup.com/mmy/advance-article-abstract/doi/10.1093/mmy/myz112/5644126?redirectedFrom=PDF

Top URLs in Tweet in G6:
[2] https://www.cdc.gov/healthywater/emergency/drinking/making-water-safe.html?platform=hootsuite
[1] http://ow.ly/sHB330pWzHi
[1] http://ow.ly/EVyR30pWzPy
[1] http://ow.ly/1cPe30pWjwi
[1] http://ow.ly/UEfw30pPFNt
[1] http://ow.ly/mw5r30pX3GR
[1] http://ow.ly/ILjb30pWjFI
[1] https://emergency.cdc.gov/epic/learn/webinar_20191204.asp?platform=hootsuite
[1] http://ow.ly/ai2H30pTvNj
[1] http://ow.ly/I0x830mD4T5

Top URLs in Tweet in G7:
[2] https://www.cdc.gov/tobacco/basic_information/e-cigarettes/severe-lung-disease/need-to-know/index.html
[2] https://www.statnews.com/2019/11/26/new-cdc-report-clue-vaping-illness/
[1] https://apple.news/AZUvhx-wTQl-2OX7URozHFw
[1] https://www.cdc.gov/niosh/about/default.html
[1] https://tceols.cdc.gov/Course/Detail2?activityID2=6130&activityInstanceID2=7280
[1] https://www.cdc.gov/genomics/famhistory/knowing_not_enough.htm
[1] https://www.cdc.gov/diabetes/risktest/index.html
[1] https://m.facebook.com/story.php?story_fbid=585296148893954&id=445770162507099&sfnsn=scwsiltcmo&d=n&vh=e
[1] https://www.youtube.com/watch?v=s83UuhDxT_Y&feature=youtu.be

[1] https://www.washingtonpost.com/opinions/antibiotic-resistance-is-a-severe-health-threat-but-theres-a-glimmer-of-hope/2019/11/27/9ce6d5bc-0652-11ea-ac12-3325d49eacaa_story.html

Top URLs in Tweet in G9:
[1] https://www.cdc.gov/stophivtogether/newsletter/index.html?deliveryName=USCDC_311-DM12547

Top URLs in Tweet in G10:
[1] https://forum.exscn.net/threads/scientology-freedom-medal-winner-min-tony-muhammad-uses-fake-time-magazine-cover-to-attack-vaccines.50608/
[1] https://tonyortega.org/2019/10/24/court-docs-say-danny-masterson-was-served-in-lawsuit-filed-by-rape-victims-but-was-he/
[1] https://exscn2.net/threads/scientology-freedom-medal-winner-nation-of-islam-minister-tony-muhammad-uses-a-fake-time-magazine-cover-to-attack-vaccines.189/#post-9922

Top Domains
Top Domains in Tweet in Entire Graph:
[318] cdc.gov
[164] twitter.com
[48] org.uk
[38] bit.ly
[27] youtube.com
[11] ow.ly
[10] washingtonpost.com
[9] thehill.com
[9] nbcnews.com
[8] fda.gov

Top Domains in Tweet in G1:
[221] cdc.gov
[34] bit.ly
[22] twitter.com
[8] contagionlive.com
[8] nbcnews.com
[7] youtube.com
[5] usa.gov
[4] fda.gov
[4] washingtonpost.com
[3] facebook.com

Top Domains in Tweet in G2:
[65] twitter.com
[48] org.uk
[17] cdc.gov
[8] thehill.com
[4] realclearpolicy.com
[3] fda.gov
[3] youtube.com
[3] blogspot.com
[3] facebook.com
[2] medium.com

Top Domains in Tweet in G3:
[11] twitter.com
[3] blogspot.com
[2] wikipedia.org
[2] mailchi.mp
[2] medium.com
[2] washingtonpost.com
[1] bacardi.com
[1] berismither.com
[1] youtube.com
[1] medpagetoday.com

Top Domains in Tweet in G4:
[31] twitter.com
[5] youtube.com
[4] clickgethealthy.com
[2] cnn.com
[2] childrenshealthdefense.org
[2] cdc.gov
[2] prepforthat.com
[2] bit.ly
[2] trib.al
[1] principia-scientific.org

Top Domains in Tweet in G5:
[17] cdc.gov
[2] atsjournals.org
[2] healio.com
[1] sciencebasedmedicine.org
[1] idsociety.org
[1] cnn.com
[1] jamanetwork.com
[1] oup.com
[1] nih.gov
[1] forbes.com

Top Domains in Tweet in G6:
[11] ow.ly
[6] twitter.com
[5] cdc.gov
[1] t.co
[1] bit.ly
[1] missourinet.com
[1] thehill.com

Top Domains in Tweet in G7:
[6] cdc.gov
[2] washingtonpost.com
[2] npr.org
[2] statnews.com
[1] apple.news
[1] facebook.com
[1] youtube.com
[1] cnbc.com
[1] reuters.com

Top Domains in Tweet in G9:
[1] cdc.gov

Top Domains in Tweet in G10:
[1] exscn.net
[1] tonyortega.org
[1] exscn2.net

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[177] thanksgiving
[100] flu
[94] vape
[88] fluvaccine
[86] vitamine
[86] thc
[79] measles
[70] dyk
[69] prepyourhealth
[54] hpv



Top Hashtags in Tweet in G1:
[119] thanksgiving
[85] flu
[81] fluvaccine
[49] dyk
[47] hpv
[31] diabetes
[20] pregnancy
[19] antibioticresistance
[18] hiv
[16] measles

Top Hashtags in Tweet in G2:
[87] vape
[82] vitamine
[82] thc
[47] vapebans
[40] wevapewevote
[24] quitlying
[14] painmanagement
[13] vapingsaveslives
[12] vaping
[10] flavorssavelives

Top Hashtags in Tweet in G3:
[6] ncdcpartners
[4] newenglandrevolution
[4] vaccineswork
[3] vaccines
[3] toxiclie
[3] tinfoilhat
[2] fightflu
[2] batman_v_daredevil
[2] nhwtop10
[2] givingbirthinnigeria

Top Hashtags in Tweet in G4:
[26] vaccine
[26] children
[21] measles
[16] bigpharma
[16] hepb
[15] pharmaceuticals
[13] vaccines
[12] informedconsent
[10] vaccination
[10] righttoknow

Top Hashtags in Tweet in G5:
[13] tb
[10] antibioticresistance
[9] lyme
[7] antibiotic
[6] medtwitter
[5] flu
[4] thanksgiving
[4] icd10
[4] antibiotics
[4] mecfs

Top Hashtags in Tweet in G6:
[68] prepyourhealth
[37] thanksgiving
[17] health
[13] emergency
[11] winterwx
[10] dyk
[9] disaster
[8] phepprogram
[6] wildfire
[3] asthma

Top Hashtags in Tweet in G7:
[3] health
[2] safety
[2] vaping
[2] mustlisten_satsang
[2] publichealth
[1] pfas
[1] trump
[1] environnement
[1] cleanwater
[1] occupationalhealth

Top Hashtags in Tweet in G9:
[11] dailybreakfact
[4] worldaidsday2019
[2] communityincharge
[1] hivaids
[1] aids
[1] hiv
[1] ysmang

Top Hashtags in Tweet in G10:
[16] samoa
[16] measles
[3] scientology
[2] commisaid
[1] samoameasles
[1] vaccines

Top Words
Top Words in Tweet in Entire Graph:
[2549] Words in Sentiment List#1: Positive
[6025] Words in Sentiment List#2: Negative
[55] Words in Sentiment List#3: Angry/Violent
[118089] Non-categorized Words
[126670] Total Words
[4407] cdcgov
[1436] fallen
[956] lilagracerose
[832] data
[771] abortion

Top Words in Tweet in G1:
[2520] cdcgov
[1436] fallen
[956] lilagracerose
[797] data
[769] abortion
[748] shows
[728] rate
[722] 50
[720] breaking
[719] 2007

Top Words in Tweet in G2:
[796] cdcgov
[230] realdonaldtrump
[135] fdatobacco
[132] products
[128] us_fda
[127] cdcdirector
[98] illicit
[95] acetate
[95] ethannadelmann
[91] mikebloomberg

Top Words in Tweet in G3:
[76] cdcgov
[23] us_fda
[21] hhsgov
[21] who_europe
[16] phe_uk
[15] risettemd
[14] teaminsane72
[13] nytimes
[13] flu
[13] tswarbrick

Top Words in Tweet in G4:
[259] cdcgov
[92] hillaryclinton
[85] vernonandrewj
[66] avoiceforchoice
[55] article
[52] rectitude20
[47] fda
[44] nytimes
[40] utobian
[38] themayqueen12

Top Words in Tweet in G5:
[166] cdcgov
[32] idsainfo
[24] drug
[22] resistant
[21] absteward
[20] resistance
[19] more
[19] s_travis_king
[19] season
[18] guidelines

Top Words in Tweet in G6:
[104] cdcemergency
[68] #prepyourhealth
[48] cdcgov
[47] learn
[44] use
[37] #thanksgiving
[30] burns
[26] protect
[26] practical
[26] cdc_ehealth

Top Words in Tweet in G7:
[46] cdcgov
[14] abc
[13] pain
[10] epa
[10] health
[8] niosh
[8] us_fda
[8] fema
[8] theagu
[7] agugeohealth

Top Words in Tweet in G8:
[49] ortainedevian
[49] texasdeplorabl4
[49] hb04920973
[49] taniaburgesstx
[49] fashionabanon
[49] pweepingangel
[49] cummings2020
[46] phoenixxrizen
[46] raeanon
[40] kalanu

Top Words in Tweet in G9:
[25] cdcgov
[15] unaids
[15] nacanigeria
[12] futureassured
[12] unfpa
[12] clintonhealth
[11] #dailybreakfact
[11] many
[11] diseases
[11] illnesses

Top Words in Tweet in G10:
[44] usaid
[30] cdcgov
[28] assistance
[28] respond
[28] disaster
[26] bylenasun
[26] sciencebasedmed
[26] scienceblogs
[26] samoa_observer
[25] hhsgov

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[721] abortion,rate
[718] breaking,cdcgov
[718] cdcgov,data
[718] data,shows
[718] shows,abortion
[718] rate,fallen
[718] fallen,50
[718] 50,1980
[718] 1980,fallen
[718] fallen,26

Top Word Pairs in Tweet in G1:
[721] abortion,rate
[718] breaking,cdcgov
[718] cdcgov,data
[718] data,shows
[718] shows,abortion
[718] rate,fallen
[718] fallen,50
[718] 50,1980
[718] 1980,fallen
[718] fallen,26

Top Word Pairs in Tweet in G2:
[90] fdatobacco,cdcgov
[87] ethannadelmann,cdcgov
[82] #vitamine,acetate
[82] acetate,oil
[82] #thc,#vape
[81] cdcgov,released
[81] released,another
[81] another,study
[81] study,pointing
[81] pointing,#vitamine

Top Word Pairs in Tweet in G3:
[20] cdcgov,hhsgov
[20] hhsgov,us_fda
[20] us_fda,who_europe
[10] silvaneves3,kaydengrayxxx
[10] kaydengrayxxx,thejasondomino
[10] thejasondomino,bexdehavilland
[10] bexdehavilland,greg0wen
[10] greg0wen,idiosyncraticxl
[10] idiosyncraticxl,davidastuart
[10] risettemd,cdcgov

Top Word Pairs in Tweet in G4:
[86] hillaryclinton,cdcgov
[85] vernonandrewj,hillaryclinton
[36] cdcgov,fda
[36] fda,published
[36] published,article
[36] article,admitting
[36] admitting,cells
[36] cells,used
[36] used,manufacturing
[36] manufacturing,numerous

Top Word Pairs in Tweet in G5:
[19] drug,resistant
[17] drpappasid,andreaprinzi
[17] andreaprinzi,ahmed_hbabiker
[17] ahmed_hbabiker,richdavisphd
[17] richdavisphd,colleenkraftmd
[16] colleenkraftmd,cdcgov
[16] tis,season
[16] season,12
[16] 12,stewards
[16] stewards,fuming

Top Word Pairs in Tweet in G6:
[26] #prepyourhealth,#thanksgiving
[21] first,aid
[21] aid,kit
[21] cuts,burns
[20] ways,protect
[20] protect,#prepyourhealth
[20] #thanksgiving,keep
[20] keep,first
[20] kit,handy
[20] handy,treat

Top Word Pairs in Tweet in G7:
[10] abc,cdcgov
[8] cdcgov,epa
[7] theagu,cdcgov
[7] epa,niosh
[7] niosh,us_fda
[7] us_fda,fema
[6] sdfashionista3,abc
[6] agugeohealth,theagu
[5] thomasklinemd,youtube
[5] youtube,billcassidy

Top Word Pairs in Tweet in G8:
[49] ortainedevian,texasdeplorabl4
[49] texasdeplorabl4,hb04920973
[49] hb04920973,taniaburgesstx
[49] taniaburgesstx,fashionabanon
[49] fashionabanon,pweepingangel
[49] pweepingangel,cummings2020
[43] raeanon,ortainedevian
[40] phoenixxrizen,raeanon
[40] cummings2020,kalanu
[9] cummings2020,kalanuraven

Top Word Pairs in Tweet in G9:
[12] unfpa,cdcgov
[12] cdcgov,clintonhealth
[11] nacanigeria,unaids
[11] unaids,futureassured
[11] futureassured,unfpa
[11] #dailybreakfact,many
[11] many,diseases
[11] diseases,illnesses
[11] illnesses,completely
[11] completely,deficient

Top Word Pairs in Tweet in G10:
[26] bylenasun,sciencebasedmed
[26] sciencebasedmed,scienceblogs
[26] scienceblogs,samoa_observer
[25] cdcgov,hhsgov
[23] vickyy_82,cdcgov
[22] samoa_observer,thereal_truther
[19] isnoinews,bylenasun
[15] ultioetveritas,vickyy_82
[14] news,usaid
[14] usaid,providing

Top Replied-To
Top Replied-To in Entire Graph:
@cdcgov
@lilagracerose
@deegley
@vernonandrewj
@realdonaldtrump
@panofseamen
@leeroq3
@stefwilliams25
@tswarbrick
@ethannadelmann

Top Replied-To in G1:
@cdcgov
@lilagracerose
@panofseamen
@leeroq3
@stefwilliams25
@kanetruth
@msokeefe1
@katiewooden4
@droz
@demelaatse

Top Replied-To in G2:
@cdcgov
@deegley
@realdonaldtrump
@cdcdirector
@ethannadelmann
@jeffward75
@potus
@us_fda
@ellissonellis
@massgovernor

Top Replied-To in G3:
@tswarbrick
@who
@teaminsane72
@drjudyho
@motorious_tv
@risettemd
@fmohnigeria
@cdcgov
@janelle53814330
@chaunceygardner

Top Replied-To in G4:
@vernonandrewj
@cdcgov
@hhsgov
@avoiceforchoice
@bethfratesmd
@rectitude20
@themayqueen12
@utobian
@patrickenrigh20
@nytimes

Top Replied-To in G5:
@celliergomez
@davidhollandmd
@drpappasid
@txid_edu
@erictopol
@cdcgov
@s_travis_king
@carlosdelrio7
@stopbaddocs
@wlkthlne

Top Replied-To in G6:
@shakentaake
@natilight77
@kjacksonemti
@usaid
@cdcemergency
@cdcgov
@x_lizzx
@cdc_ehealth
@unacuhcp
@colettestweeter

Top Replied-To in G7:
@sdfashionista3
@dkennedy1822
@suemoenius
@claire_horwell
@janinekrippner
@2b_painfree
@realdonaldtrump
@gatewaypundit
@ap
@abc

Top Replied-To in G8:
@phoenixxrizen
@raeanon

Top Replied-To in G9:
@chidimmapinkie
@senatorbash
@bashjibia50
@timsma_eze
@eva_nigeria

Top Replied-To in G10:
@isnoinews
@zigmund_fraud
@thereal_truther
@clydeleesmith
@ultioetveritas
@bylenasun
@usaid
@takethatdoctors
@taogypsysoul
@usembassysamoa

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@lilagracerose
@realdonaldtrump
@us_fda
@hhsgov
@cdcdirector
@fdatobacco
@cdcemergency
@mikebloomberg
@hillaryclinton

Top Mentioned in G1:
@cdcgov
@lilagracerose
@kanetruth
@droz
@stefwilliams25
@cbseveningnews
@cdcmmwr
@toxdoccso
@jay
@fdacs

Top Mentioned in G2:
@cdcgov
@realdonaldtrump
@fdatobacco
@us_fda
@cdcdirector
@mikebloomberg
@parentsvsvape
@ethannadelmann
@nygovcuomo
@parscale

Top Mentioned in G3:
@cdcgov
@us_fda
@hhsgov
@who_europe
@who
@phe_uk
@nytimes
@lancechurchill
@gregthr
@risettemd

Top Mentioned in G4:
@cdcgov
@hillaryclinton
@vernonandrewj
@avoiceforchoice
@rectitude20
@nytimes
@utobian
@themayqueen12
@hhsgov
@ameracadpeds

Top Mentioned in G5:
@cdcgov
@idsainfo
@absteward
@nih
@andreaprinzi
@ahmed_hbabiker
@richdavisphd
@colleenkraftmd
@jama_current
@s_travis_king

Top Mentioned in G6:
@cdcemergency
@cdcgov
@cdc_ehealth
@twittersupport
@cdcenvironment
@twitter
@us_fda
@udhrone257in257
@treasuryrsa
@x_lizzx

Top Mentioned in G7:
@cdcgov
@abc
@epa
@niosh
@us_fda
@fema
@agugeohealth
@theagu
@youtube
@billcassidy

Top Mentioned in G8:
@ortainedevian
@texasdeplorabl4
@hb04920973
@taniaburgesstx
@fashionabanon
@pweepingangel
@cummings2020
@raeanon
@phoenixxrizen
@kalanu

Top Mentioned in G9:
@cdcgov
@unaids
@nacanigeria
@futureassured
@unfpa
@clintonhealth
@kayodeteslim
@un
@jconnor19662
@greytonka

Top Mentioned in G10:
@usaid
@cdcgov
@sciencebasedmed
@scienceblogs
@samoa_observer
@hhsgov
@bylenasun
@vickyy_82
@thereal_truther
@ultioetveritas

Top Tweeters
Top Tweeters in Entire Graph:
@united
@solutioneer72
@defendressofsan
@rjber15
@cnbctv18live
@aoao7586
@chantelldawnsny
@thereal_rebel
@john1966olsen
@cnnnews18

Top Tweeters in G1:
@solutioneer72
@defendressofsan
@rjber15
@aoao7586
@chantelldawnsny
@lechatnoire4
@soniaerasmus
@brendaperrott
@nerdy_ian
@ronthornton

Top Tweeters in G2:
@lovetogive2
@serafinos
@michaelbarger1
@foxnews
@wsj
@daniel170376
@abcnews
@kadajoza
@cnn
@tannersdad

Top Tweeters in G3:
@ndtv
@businessinsider
@gotel
@washingtonpost
@rt_com
@cocacola
@dwnews
@ft
@allafrica
@verge

Top Tweeters in G4:
@vlovesanimals
@nytimes
@qnuevomedio
@svagdis
@nypost
@journeysnonnie
@coahuilaytexas
@aspiesmom
@nakatsu28
@crwriter1

Top Tweeters in G5:
@815wrldtrvlr
@steph93065
@rocza
@allisonstrick1
@kiyarasabel
@dlspace108
@canettoyant
@emweeklyrpt
@jackposobiec
@wired

Top Tweeters in G6:
@united
@thereal_rebel
@richfm39517086
@adekleine
@garden4u_wa
@drshahrul80
@costellodaniel1
@jpblough
@don47
@kilonpop

Top Tweeters in G7:
@cnbctv18live
@cnnnews18
@thehill
@guardian
@business
@reuters
@bostonglobe
@cnnphilippines
@cnbc
@bbcworld

Top Tweeters in G8:
@realtt2020
@gmanfan45
@t_wwg1wga
@ladydwinter
@twitmo_inmate
@basketofjenn
@hh_kathy
@znewsnet
@christinepolon1
@nancygolliday

Top Tweeters in G9:
@ladygrasha
@isaozo
@iconoclastttt
@un
@olusegunmedupin
@abuja_facts
@444cin444
@greytonka
@kt23kartracer
@herenowjal

Top Tweeters in G10:
@time
@sidelinedbuddah
@akvinchrist
@cececalabrese
@statedepttweet
@macilree
@vickyy_82
@thereal_truther
@takethatdoctors
@kellyklock4