VaccinesWork, Twitter, 1/16/2023 3:59:49 AM, 288144


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VaccinesWork_2023-01-15_19-45-00.xlsx
VaccinesWork_2023-01-15_19-45-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 16, 2023
Short Description:
VaccinesWork via NodeXL https://bit.ly/3GKPCq9
@who
@poliofreeafghan
@caulfieldtim
@gunjanjeni
@gavi
@kasia_hp
@abolishwokeness
@ichudov
@synthige
@deraltegaukler

Top hashtags:
#vaccineswork
#endpolio
#covid19
#polio
#children
#vaccinedeath
#getboosted
#vaccine

Description:
Description
The graph represents a network of 4,905 Twitter users whose recent tweets contained "VaccinesWork", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 03:51 UTC.

The tweets in the network were tweeted over the 1348-day, 3-hour, 26-minute period from Wednesday, 08 May 2019 at 21:29 UTC to Monday, 16 January 2023 at 00:55 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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 : 4905
Unique Edges : 2080
Edges With Duplicates : 9459
Total Edges : 11539
Number of Edge Types : 9
Retweet : 3875
MentionsInRetweet : 4476
Tweet : 722
Replies to : 512
MentionsInReplyTo : 1216
Quote : 279
Mentions : 342
MentionsInQuote : 81
MentionsInQuoteReply : 36
Self-Loops : 883
Reciprocated Vertex Pair Ratio : 0.0202002145155524
Reciprocated Edge Ratio : 0.0396004906255476
Connected Components : 363
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 3731
Maximum Edges in a Connected Component : 9469
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.877512
Graph Density : 0.000237256652914345
Modularity : 0.484453
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,905 Twitter users whose recent tweets contained "VaccinesWork", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 03:51 UTC.

The tweets in the network were tweeted over the 1348-day, 3-hour, 26-minute period from Wednesday, 08 May 2019 at 21:29 UTC to Monday, 16 January 2023 at 00:55 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : VaccinesWork
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:
[43] https://www.statnews.com/2023/01/12/routine-vaccinations-kindergartners/
[32] https://twitter.com/ALovecomicart/status/1613617679335571462/photo/1
[29] https://twitter.com/BelvyBenjamin/status/1608942293746343938/photo/1
[19] https://twitter.com/KarlDHarrison/status/1612562308294926337/photo/1
[15] https://twitter.com/aholdenj/status/1613580863471767552
[14] https://twitter.com/LiftForever67/status/1612932818191134720/photo/1
[13] https://www.thestar.com/news/world/europe/2023/01/11/uk-conservatives-suspend-lawmaker-for-vaccine-misinformation.html
[12] https://www.washingtonpost.com/opinions/2023/01/08/xbb-covid-variant-immune-evasive-pandemic/
[11] https://www.gavi.org/vaccineswork/new-research-proves-covid-19-vaccines-can-slow-spread-disease-even-omicron
[10] https://twitter.com/MysticPesky/status/1613546038035451909/photo/1

Top URLs in Tweet in G1:
[4] https://twitter.com/PolioFreeAfghan/status/1610491642955591680/photo/1
[3] https://twitter.com/PolioFreeAfghan/status/1609056079496749057/photo/1
[1] https://twitter.com/G_LaryeaAdjei/status/1573571686389129217/photo/1

Top URLs in Tweet in G2:
[42] https://www.statnews.com/2023/01/12/routine-vaccinations-kindergartners/
[12] https://www.thestar.com/news/world/europe/2023/01/11/uk-conservatives-suspend-lawmaker-for-vaccine-misinformation.html
[12] https://www.washingtonpost.com/opinions/2023/01/08/xbb-covid-variant-immune-evasive-pandemic/
[4] https://medicalxpress.com/news/2023-01-staff-vaccination-nursing-homes-covid-.html
[4] https://twitter.com/djarovsky/status/1614229066650877954/photo/1
[3] https://twitter.com/CaulfieldTim/status/1614040670955765762
[2] https://twitter.com/EdselSalvana/status/1176642539211739136
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41467-022-35052-4
[1] https://www.who.int/news/item/05-12-2019-more-than-140-000-die-from-measles-as-cases-surge-worldwide
[1] https://jamanetwork.com/journals/jamaoncology/fullarticle/2800127?utm_source=twitter&utm_campaign=content-shareicons&utm_content=article_engagement&utm_medium=social&utm_term=010723#.Y7mlfM7hMPQ.twitter

Top URLs in Tweet in G3:
[3] https://coalitionforvaccination.com/news/36/save-the-date-coalition-for-vaccination-conference-17-january-2023-brussels
[3] https://www.who.int/health-topics/vaccines-and-immunization?utm_source=Twitter&utm_medium=Organic&utm_campaign=WHO_2023#tab=tab_1
[3] https://twitter.com/unfoundation/status/1612431537558921217/photo/1
[2] https://twitter.com/WHO/status/1613103121374367744
[2] https://www.gavi.org/vaccineswork/five-things-know-about-long-covid-and-chronic-fatigue-syndrome
[1] https://twitter.com/WHO/status/1614215531770396673/photo/1
[1] https://twitter.com/WHO/status/1253464496443658249/video/1
[1] https://twitter.com/WHO/status/1610923978066989056/photo/1
[1] https://twitter.com/WHO/status/1611655294689460224/photo/1
[1] https://twitter.com/WHO/status/1612405556563542017/photo/1

Top URLs in Tweet in G4:
[19] https://twitter.com/KarlDHarrison/status/1612562308294926337/photo/1
[4] https://twitter.com/actononsugar/status/1614702993860878345/photo/1
[4] https://twitter.com/djnicholl/status/1614562406075699201/photo/1
[2] https://twitter.com/DrAseemMalhotra/status/1613837487796850688/video/1
[2] https://twitter.com/actononsugar/status/1613140365435080706/photo/1
[1] https://sciencebasedmedicine-org.translate.goog/the-aseem-malhotra-lecture-isnt-what-you-think-it-is/?_x_tr_sl=en&_x_tr_tl=el&_x_tr_hl=fr&_x_tr_pto=wapp
[1] https://twitter.com/han_francis/status/1589441983613108224/photo/1
[1] https://idp.springer.com/authorize?response_type=cookie&client_id=springerlink&redirect_uri=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs00392-022-02129-5
[1] https://newsie.social/@michaelghead/109670790899808562
[1] https://theconversation.com/andrew-bridgen-how-anti-vaccine-misinformation-hampers-the-conversation-about-genuine-vaccine-injuries-197351

Top URLs in Tweet in G5:
[5] https://www.gavi.org/vaccineswork/how-covid-can-disturb-your-sleep-and-dreams-and-what-could-help
[5] https://www.gavi.org/vaccineswork/how-botswana-self-financing-covax-country-solved-its-pandemic-strategy-puzzle
[4] https://www.gavi.org/vaccineswork/how-bangladeshs-immunisation-system-coming-back-stronger
[4] https://www.gavi.org/vaccineswork/covid-2023-and-beyond-why-virus-trends-are-more-difficult-predict-three-years
[4] https://twitter.com/UNICEFGhana/status/1611301501518979072/photo/1
[4] https://twitter.com/WHO_Zimbabwe/status/1612689953506443267/photo/1
[3] https://www.gavi.org/vaccineswork/whats-behind-recent-surge-strep-and-scarlet-fever
[3] https://www.gavi.org/vaccineswork/routine-vaccines/extraordinary-impact-hepatitis-b#:~:text=Approximately%20nine%20in%20ten%20infants,against%20HBV%20is%20so%20important.
[3] https://www.gavi.org/vaccineswork/flu-spikes-indian-kashmir-covid-19-measures-lift
[3] https://www.gavi.org/vaccineswork/routine-vaccines/routine-vaccines-extraordinary-impact-diphtheria

Top URLs in Tweet in G6:
[1] https://twitter.com/darongerschmd/status/1613203988064894977/photo/1
[1] https://twitter.com/darongerschmd/status/1613203988064894977
[1] https://trib.al/G4XBwY4
[1] https://twitter.com/WSJhealth/status/1612434932281839616
[1] https://twitter.com/bone00afide/status/1614379225624059907

Top URLs in Tweet in G7:
[1] https://twitter.com/AlexiC86/status/1610698041140322304/video/1
[1] https://www.nejm.org/doi/full/10.1056/NEJMoa2022483

Top URLs in Tweet in G8:
[10] https://twitter.com/MysticPesky/status/1613546038035451909/photo/1
[6] https://www.gavi.org/vaccineswork/whats-behind-recent-surge-strep-and-scarlet-fever
[5] https://www.skepticalraptor.com/skepticalraptorblog.php/the-bivalent-covid-vaccines-are-not-linked-to-strokes/
[5] https://www.skepticalraptor.com/skepticalraptorblog.php/mmr-vaccine-public-confidence-polling-shows-a-drop/
[5] https://www.skepticalraptor.com/skepticalraptorblog.php/xbb-1-5-covid-19-variant-here-comes-the-kraken-faq/
[5] https://www.skepticalraptor.com/skepticalraptorblog.php/joe-mercola-claims-covid-vaccine-boosters-cause-cancer/
[5] https://www.skepticalraptor.com/skepticalraptorblog.php/vaccine-clinical-trials-anti-vaccine-pseudoscience-wrong/
[4] https://twitter.com/DebunkedByHaiku/status/1126237590598889472/photo/1
[3] https://www.cdc.gov/hepatitis/hbv/vaccadults.htm
[3] https://twitter.com/bylenasun/status/1613621206191861761

Top URLs in Tweet in G9:
[1] https://twitter.com/DrNeilStone/status/1613614945454723088/photo/1
[1] https://twitter.com/DrNeilStone/status/1613614099975340033/photo/1
[1] https://twitter.com/drg1985/status/1613106755516465152/photo/1
[1] https://twitter.com/drg1985/status/1613106755516465152
[1] https://twitter.com/Doctor_Eric_B/status/1614021578232156176
[1] https://www.cdc.gov/mmwr/volumes/71/wr/pdfs/mm715152e1-H.pdf
[1] https://twitter.com/Doctor_Eric_B/status/1614021614638714880/photo/1
[1] https://twitter.com/dc_draino/status/1614003840205967370
[1] https://twitter.com/DrNeilStone/status/1614205748921368576
[1] https://community.covidvaccineinjuries.com/compilation-peer-reviewed-medical-papers-of-covid-vaccine-injuries/

Top URLs in Tweet in G10:
[1] https://www.wsj.com/amp/articles/u-s-cancer-death-rate-has-dropped-by-a-third-since-1991-11673535327

Top Domains
Top Domains in Tweet in Entire Graph:
[1067] twitter.com
[158] gavi.org
[46] statnews.com
[36] immunize.ca
[25] skepticalraptor.com
[21] youtube.com
[17] washingtonpost.com
[14] cdc.gov
[14] thestar.com
[11] substack.com

Top Domains in Tweet in G1:
[8] twitter.com

Top Domains in Tweet in G2:
[43] statnews.com
[17] twitter.com
[13] washingtonpost.com
[12] thestar.com
[4] medicalxpress.com
[2] nature.com
[1] who.int
[1] jamanetwork.com
[1] yahoo.com
[1] vice.com

Top Domains in Tweet in G3:
[33] twitter.com
[4] who.int
[3] coalitionforvaccination.com
[2] youtube.com
[2] gavi.org
[1] nature.com
[1] thelancet.com
[1] time.com
[1] path.org
[1] axios.com

Top Domains in Tweet in G4:
[63] twitter.com
[4] gavi.org
[2] rumble.com
[2] insulinresistance.org
[1] translate.goog
[1] springer.com
[1] newsie.social
[1] theconversation.com
[1] co.uk
[1] theguardian.com

Top Domains in Tweet in G5:
[76] gavi.org
[19] twitter.com
[1] sky.com
[1] coregroup.org

Top Domains in Tweet in G6:
[4] twitter.com
[1] trib.al

Top Domains in Tweet in G7:
[1] twitter.com
[1] nejm.org

Top Domains in Tweet in G8:
[68] twitter.com
[25] skepticalraptor.com
[8] gavi.org
[5] cdc.gov
[4] childrenshealthdefense.org
[3] vaccines.gov
[2] givesendgo.com
[2] washingtonpost.com
[1] walmart.ca
[1] shoppersdrugmart.ca

Top Domains in Tweet in G9:
[13] twitter.com
[1] cdc.gov
[1] covidvaccineinjuries.com

Top Domains in Tweet in G10:
[1] wsj.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1765] vaccineswork
[819] endpolio
[496] covid19
[313] polio
[297] children
[261] vaccinedeath
[182] getboosted
[178] vaccine
[177] suddendeath
[167] russellbrand



Top Hashtags in Tweet in G1:
[810] endpolio
[293] children
[293] polio
[4] vaccineswork
[2] poliofreeafghanistan

Top Hashtags in Tweet in G2:
[40] vaccineswork
[26] antivaxxerdeathcult
[7] xbb
[5] covid19
[3] scienceupfirst
[2] longcovid
[1] weightbias
[1] ageist
[1] diedsuddenly
[1] vaccinessavelives

Top Hashtags in Tweet in G3:
[76] dyk
[53] vaccineswork
[23] hpv
[23] cervicalcancer
[18] coalitionforvaccination
[13] covid19
[12] unitedinprotection
[8] vaccine
[7] covidvaccines
[5] polio

Top Hashtags in Tweet in G4:
[202] vaccineswork
[138] covid19
[69] bbcnews
[39] vaccines
[20] faucifiles
[20] diedsuddenly
[14] vaccinedeaths
[10] publichealth
[7] cardiacarrest
[7] vaccinessavelives

Top Hashtags in Tweet in G5:
[71] covid19
[18] vaccines
[17] measles
[15] omicron
[14] hiv
[11] diphtheria
[11] vaccineswork
[10] longcovid
[9] typhoid
[9] hepatitis

Top Hashtags in Tweet in G6:
[8] vaccineswork
[2] covid19
[1] influenza
[1] rsv
[1] getvaccinated
[1] thisisourshot
[1] familymedicine
[1] whyivax

Top Hashtags in Tweet in G7:
[166] vaccineswork
[165] russellbrand
[165] getboosted
[165] suddendeath
[2] vaccinedeath
[1] covidvaccine
[1] vaxxed
[1] unvaxxed
[1] suddendeaths
[1] genocide

Top Hashtags in Tweet in G8:
[111] vaccineswork
[53] vaccine
[31] covid19
[18] joemercola
[18] cancer
[15] placebo
[14] covid
[10] mmr
[10] hcps
[10] hepatitisb

Top Hashtags in Tweet in G9:
[17] vaccineswork
[1] xbb15
[1] covid
[1] variant
[1] kraken
[1] vaccine
[1] boosters
[1] masks
[1] vaccineinjuries
[1] vaccinessavelives

Top Hashtags in Tweet in G10:
[3] covid19
[2] vaccineswork

Top Words
Top Words in Tweet in Entire Graph:
[1758] #vaccineswork
[1395] vaccine
[853] world
[819] #endpolio
[813] bear
[812] teddy
[811] poliofreeafghan
[658] polio
[583] child
[547] covid

Top Words in Tweet in G1:
[810] #endpolio
[808] bear
[808] teddy
[808] world
[807] poliofreeafghan
[519] polio
[516] vaccine
[516] message
[515] child
[515] love

Top Words in Tweet in G2:
[305] caulfieldtim
[161] anti
[160] less
[159] informed
[159] vaxxers
[158] science
[157] dear
[157] time
[156] research
[156] ie

Top Words in Tweet in G3:
[330] children
[180] vaccines
[150] 2021
[149] life
[148] saving
[146] million
[144] missed
[140] 25
[138] vaccinations
[104] risk

Top Words in Tweet in G4:
[202] #vaccineswork
[138] #covid19
[98] han_francis
[83] genuine
[82] bbcnews
[71] aseem
[70] below
[69] interview
[69] malhotra's
[69] recent

Top Words in Tweet in G5:
[181] gavi
[123] more
[71] #covid19
[65] 000
[60] people
[52] countries
[47] deaths
[45] make
[44] gaviseth
[43] vaccines

Top Words in Tweet in G6:
[157] before
[157] vaccine
[157] sufficient
[157] regular
[157] 15
[157] hpv
[157] yrs
[157] reminder
[157] initiated
[157] lifesaving

Top Words in Tweet in G7:
[166] #vaccineswork
[165] efficacy
[165] summary
[165] #suddendeath
[165] two
[165] over
[165] years
[165] vaccination
[165] #getboosted
[165] last

Top Words in Tweet in G8:
[111] #vaccineswork
[53] #vaccine
[45] anti
[43] diamondandsilk
[32] skepticalraptor
[31] #covid19
[26] covid
[25] against
[23] claim
[21] vaccine

Top Words in Tweet in G9:
[261] vaccine
[142] drneilstone
[133] anti
[132] again
[130] garbage
[130] cases
[130] gaining
[130] traction
[130] graph
[130] thought

Top Words in Tweet in G10:
[281] women
[141] cervical
[141] cancer
[140] 2012
[140] 2019
[140] 20s
[140] early
[140] 65
[140] generation
[140] dropped

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[812] teddy,bear
[812] #endpolio,teddy
[520] polio,vaccine
[517] child,world
[517] message,child
[517] bear,message
[517] love,#endpolio
[517] world,polio
[516] poliofreeafghan,love
[295] receive,#polio

Top Word Pairs in Tweet in G1:
[808] #endpolio,teddy
[808] teddy,bear
[515] message,child
[515] world,polio
[515] child,world
[515] love,#endpolio
[515] polio,vaccine
[515] bear,message
[514] poliofreeafghan,love
[293] receive,#polio

Top Word Pairs in Tweet in G2:
[159] anti,vaxxers
[157] science,informed
[157] dear,anti
[157] informed,less
[156] ie,science
[156] time,ie
[156] vaxxers,doing
[156] doing,research
[156] research,time
[155] caulfieldtim,dear

Top Word Pairs in Tweet in G3:
[147] life,saving
[144] missed,life
[143] children,missed
[140] 25,million
[140] 2021,25
[139] million,children
[87] classroom,filled
[87] filled,happy
[87] vaccines,children
[87] without,vaccines

Top Word Pairs in Tweet in G4:
[70] han_francis,#covid19
[69] bbcnews,genuine
[69] codswallop,below
[69] genuine,codswallop
[69] #covid19,#bbcnews
[69] recent,interview
[69] #bbcnews,#vaccineswork
[69] interview,bbcnews
[69] malhotra's,recent
[69] #vaccineswork,aseem

Top Word Pairs in Tweet in G5:
[36] cervical,cancer
[35] more,340
[35] 2020,90
[35] 340,000
[35] income,countries
[35] women,2020
[35] 000,women
[35] cancer,killed
[35] low,middle
[35] middle,income

Top Word Pairs in Tweet in G6:
[157] reminder,hpv
[157] regular,reminder
[157] doses,sufficient
[157] hpv,vaccine
[157] lifesaving,initiated
[157] yrs,doses
[157] before,15
[157] initiated,before
[157] 15,yrs
[157] vaccine,lifesaving

Top Word Pairs in Tweet in G7:
[165] vaccination,efficacy
[165] summary,vaccination
[165] #getboosted,#suddendeath
[165] over,last
[165] last,two
[165] years,#russellbrand
[165] efficacy,over
[165] two,years
[165] #russellbrand,#vaccineswork
[165] #vaccineswork,#getboosted

Top Word Pairs in Tweet in G8:
[23] skepticalraptor,anti
[20] #covid19,#vaccine
[18] boosters,cause
[18] robertkennedyjr,claim
[18] anti,vax
[18] #vaccine,boosters
[18] favorites,#joemercola
[18] cause,#cancer
[18] claim,#covid19
[18] vax,favorites

Top Word Pairs in Tweet in G9:
[130] again,thought
[130] vaccine,garbage
[130] garbage,gaining
[130] traction,again
[130] gaining,traction
[130] anti,vaccine
[130] thought,graph
[128] drneilstone,anti
[122] graph,measles
[122] measles,cases

Top Word Pairs in Tweet in G10:
[141] cervical,cancer
[140] 65,2012
[140] 2019,women
[140] cancer,rates
[140] early,20s
[140] women,early
[140] 2012,2019
[140] 20s,generation
[140] rates,dropped
[140] young,women

Top Replied-To
Top Replied-To in Entire Graph:
@hoosier84
@diamondandsilk
@nathaliejacoby1
@drneilstone
@petersweden7
@healthbyjames
@saralily24
@micdropper2
@dvatw
@whiterose_lady

Top Replied-To in G1:
@poliofreeafghan

Top Replied-To in G2:
@erictopol
@kezia_noble
@caulfieldtim
@baddcompani
@takeactioncan
@thebreakdownab
@pattoncarter
@jmaebp

Top Replied-To in G3:
@jimbethell
@kate_l_obrien
@nhsengland

Top Replied-To in G4:
@whiterose_lady
@hannah74e
@bbcnews
@abridgen
@drjamesolsson
@bhchillin76
@swaledalemutton
@cmy1952
@ceeceereturns
@stkirsch

Top Replied-To in G5:
@ejustin46

Top Replied-To in G6:
@bone00afide

Top Replied-To in G8:
@diamondandsilk
@laurenboebert
@mysticpesky
@anandpanna1
@fud_jerry
@cjmagamom
@cdcgov
@immunize_usa
@davidkurten
@ypapoca

Top Replied-To in G9:
@drneilstone
@dc_draino
@realist_brutal
@kerry14c

Top Mentioned
Top Mentioned in Entire Graph:
@poliofreeafghan
@caulfieldtim
@who
@gavi
@alexic86
@drnicolec
@drneilstone
@kit_yates_maths
@pakfightspolio
@ichudov

Top Mentioned in G1:
@poliofreeafghan
@unicef_nepal
@g_laryeaadjei

Top Mentioned in G2:
@caulfieldtim
@erictopol
@torontostar
@drewqjoseph
@statnews
@synthige
@han_francis
@ahandvanish

Top Mentioned in G3:
@who
@efnbrussels
@pgeu
@cpme_europa
@vaccinologist
@kate_l_obrien
@coalitionforvax
@unfoundation
@eu_health
@preventtyphoid

Top Mentioned in G4:
@han_francis
@bbcnews
@karldharrison
@draseemmalhotra
@conversationuk
@abridgen
@michaelghead
@jneill
@mhragovuk
@berniespofforth

Top Mentioned in G5:
@gavi
@gaviseth
@whoafro
@who
@who_zimbabwe
@tonyparry17
@dr_hamidjafari
@profabdoolkarim
@dr_d_robertson
@conversationuk

Top Mentioned in G6:
@drnicolec
@wsjhealth
@tilimd
@aafp
@mnfamilydocs
@northwellhealth

Top Mentioned in G7:
@alexic86

Top Mentioned in G8:
@skepticalraptor
@diamondandsilk
@robertkennedyjr
@cdcgov
@delbigtree
@gop
@markofthed
@chayaraichik10
@mysticpesky
@kff

Top Mentioned in G9:
@drneilstone
@ourworldindata
@kevin_padma
@caulfieldtim
@skepticalraptor
@adamjkucharski
@markofthed
@realist_brutal

Top Mentioned in G10:
@kit_yates_maths
@drneilstone
@gavi
@gaviseth
@han_francis

Top Tweeters
Top Tweeters in Entire Graph:
@jurylady5
@rjber15
@lizditz
@john1966olsen
@ansisegle
@miguelhilargiak
@1loriking
@johangreg
@reuters
@foggybottomgal

Top Tweeters in G1:
@samarsanatan
@nomanakbar18
@gdelango
@alexspenc1
@rehnumasamaji
@pedrebano
@amerkashok
@sandeep_2021
@dasi_vinod
@softie_zainu11

Top Tweeters in G2:
@z_chrissie
@frazzling
@cocopazzo
@hopealdridge
@merlinofcanada
@planetscape
@craigmatsuda
@torontostar
@bugjudy
@genecowan

Top Tweeters in G3:
@rjber15
@robertafazio7
@patrickmajor56
@monitor_ph
@susankheflin
@aprilgreen93
@sinhthiennguyen
@aacamerano
@sminaev2015
@jojones2762

Top Tweeters in G4:
@bbcnews
@saffiya_khan1
@bcgift
@bane_baldy
@jgraddon
@snigskitchen
@clairecozler
@mir_kaczynski
@bklyndin
@papillon4444

Top Tweeters in G5:
@john1966olsen
@1loriking
@jeannebartram
@natalie91231732
@marypgkeating
@jennyjones1313
@gouldie7
@adeyemoadekunl2
@larochecs
@djriveraros

Top Tweeters in G6:
@dunnclan
@lellingw
@pearlfectchassi
@dprnesq
@carmosteph
@elsbet
@lfaraday
@fillmorewhite
@gootbutt
@nutmeg62

Top Tweeters in G7:
@julieroot4
@atcoco2017
@teachertwit2
@leslymill
@afrikaner
@princeofdoges
@fumbelsmcstupid
@mark_4america
@kellieannoxford
@sharon444martin

Top Tweeters in G8:
@lizditz
@foggybottomgal
@brettaapplebaum
@yayayarndiva
@locou9
@washingtonpost
@bobduff1
@houstonchron
@doritmi
@claytonrobins

Top Tweeters in G9:
@jot_au
@monasmitte
@syawal
@lostindisco
@mdaware
@luvfb_hatefifa
@anneleonardpta
@labcold
@realist_brutal
@janet_ewan

Top Tweeters in G10:
@fiona_fionnagal
@paulpaul49
@marymary0414
@ellen_coyle
@lorraindeer
@oakleighrover
@_antisocialite
@wikisteff
@douglasdaniel
@canogbiz