measles, Twitter, 4/16/2022 10:05:21 PM, 274893


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measles_2022-04-16_14-42-01.xlsx
measles_2022-04-16_14-42-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
April 16, 2022
Short Description:
measles via NodeXL https://bit.ly/3jNmEec
@laseletzky
@cmclymer
@who
@lizditz
@aliminish
@lazaruslong13
@gosiagasperophd
@tigray_micky
@bigbruce1972
@de2344

Top hashtags:
#tigray
#tehreeklabbaikpakistan
#عہدشکن_شکنجےمیں
#metz
#measles
#covid19
#defi
#bsc
#sarscov2

Description:
Description
The graph represents a network of 8,651 Twitter users whose tweets in the requested range contained "measles", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 April 2022 at 21:47 UTC.

The requested start date was Saturday, 16 April 2022 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 4-day, 17-hour, 38-minute period from Sunday, 10 April 2022 at 18:04 UTC to Friday, 15 April 2022 at 11:42 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 : 8651
Unique Edges : 4499
Edges With Duplicates : 12655
Total Edges : 17154
Number of Edge Types : 5
Retweet : 5580
MentionsInRetweet : 6160
Tweet : 793
Replies to : 1352
Mentions : 3269
Self-Loops : 816
Reciprocated Vertex Pair Ratio : 0.014760147601476
Reciprocated Edge Ratio : 0.0290909090909091
Connected Components : 920
Single-Vertex Connected Components : 286
Maximum Vertices in a Connected Component : 4808
Maximum Edges in a Connected Component : 11519
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.062833
Graph Density : 0.00013229784655187
Modularity : 0.560446
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,651 Twitter users whose tweets in the requested range contained "measles", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 April 2022 at 21:47 UTC.

The requested start date was Saturday, 16 April 2022 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 4-day, 17-hour, 38-minute period from Sunday, 10 April 2022 at 18:04 UTC to Friday, 15 April 2022 at 11:42 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 : measles
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:
[17] https://www.bestusatee.com/covid-measles-varicella-meningococcus-polio-tetanu?name=apparel-classic-tshirt-lifestyle-front-187
[11] https://twitter.com/save_children/status/1513880144947171336
[9] https://www.nhs.uk/MMR
[8] https://dailytrust.com/sokoto-records-1000-measles-cases-in-4-months
[7] https://www.gavi.org/vaccineswork/europe-risk-measles-resurgence-covid-19-restrictions-are-eased
[6] https://www.express.co.uk/news/science/1594722/omicron-new-mutation-found-south-africa-ba-4-more-contagious-who-ukhsa
[5] https://www.ncbi.nlm.nih.gov/pubmed/23543773
[5] https://vaccineimpact.com/2017/german-supreme-court-upholds-biologists-claim-that-measles-virus-does-not-exist/
[5] https://www.wsj.com/articles/covid-19-vaccines-carry-low-risk-of-heart-conditions-studies-find-11649716211
[5] https://gpiaepap.wordpress.com/2022/04/11/comparative-evaluation-of-assays-for-igm-detection-of-rubella-and-measles-infections/

Top URLs in Tweet in G1:
[1] https://twitter.com/AndrewRoseSC/status/1512451747213623299
[1] https://twitter.com/andrewrosesc/status/1512451747213623299

Top URLs in Tweet in G2:
[4] http://outbreaknewstoday.com/philippines-dengue-measles-down-by-half-in-early-2022/
[3] https://flutrackers.com/forum/forum/emerging-diseases-other-health-threats-alphabetical-a-thru-h/childhood-diseases/measles/945980-brazil-2022-measles#post945980
[2] https://flutrackers.com/forum/forum/emerging-diseases-other-health-threats-alphabetical-a-thru-h/childhood-diseases/measles/939706-mali-measles-outbreaks-2022#post945741
[1] https://mobile.twitter.com/DrEricDing/status/1514700435591946244
[1] https://flutrackers.com/forum/forum/emerging-diseases-other-health-threats-alphabetical-a-thru-h/childhood-diseases/measles/943602-niger-measles-outbreak-2022#post945851
[1] https://flutrackers.com/forum/forum/emerging-diseases-other-health-threats-alphabetical-a-thru-h/childhood-diseases/measles/941790-nigeria-2022-measles#post946022
[1] http://outbreaknewstoday.com/brazil-more-measles-confirmed-in-sao-paulo-fears-of-new-outbreak-52806/
[1] https://www.ecdc.europa.eu/en/publications-data/communicable-disease-threats-report-10-16-april-2022-week-15
[1] https://twitter.com/CPita3/status/1514085606162378754
[1] https://twitter.com/hughthunkit/status/1514104656158343172

Top URLs in Tweet in G3:
[10] https://twitter.com/save_children/status/1513880144947171336
[2] https://reports.unocha.org/en/country/ethiopia/
[2] https://asef.org/news/responding-to-whos-health-emergency-appeal-for-ukraine-and-neighbouring-countries-asef-utilising-the-contribution-from-japan-extends-us-9-5-mn-for-humanitarian-assistance-for-refugees-and/
[1] https://openwho.org/courses/measles-outbreak-pre-deployment-training
[1] https://fcld.ly/1w8xwmh
[1] https://fcld.ly/ikr0cmk

Top URLs in Tweet in G4:
[5] https://gpiaepap.wordpress.com/2022/04/11/comparative-evaluation-of-assays-for-igm-detection-of-rubella-and-measles-infections/
[5] https://www.nhs.uk/MMR
[3] https://twitter.com/xabitron1/status/1513589454728056837
[3] https://currentcapsule.wordpress.com
[3] https://tvn.news/news/yobe-to-embark-on-state-wide-measles-campaign/
[2] http://outbreaknewstoday.com/philippines-dengue-measles-down-by-half-in-early-2022/?utm_source=dlvr.it&utm_medium=twitter
[2] https://www.nhs.uk/conditions/vaccinations/mmr-vaccine/?utm_source=Twitter&utm_medium=social&utm_campaign=Orlo
[2] https://www.wsj.com/articles/covid-19-vaccines-carry-low-risk-of-heart-conditions-studies-find-11649716211
[2] https://tamil.abplive.com/news/madurai/pongal-festival-for-goddess-to-prevent-measles-festival-held-in-madurai-47914
[2] https://www.jpeds.com/article/S0022-3476(22)00317-1/fulltext?rss=yes

Top URLs in Tweet in G6:
[1] https://www.youtube.com/watch?v=w0N4twV28Mw

[1] https://jamanetwork.com/journals/jama/article-abstract/209448
[1] https://www.cdc.gov/measles/stats-surv.html
[1] https://www.cdc.gov/vaccines/pubs/surv-manual/chpt07-measles.html
[1] https://www1.racgp.org.au/newsgp/clinical/anti-vaccination-advocates-double-down-as-measles
[1] https://apnews.com/article/781d4859fb1f4b379ed7f566addc0b64

Top URLs in Tweet in G7:
[2] https://petition.parliament.uk/petitions/612152
[1] https://fane.co.uk/grayson
[1] https://pizza-and-pincushions.myshopify.com/
[1] https://emma-lucy-thomson.net/2022/04/14/i-couldnt-sleep-again-there-are-certain-things-that-i-will-always-feel/
[1] https://emma-lucy-thomson.net/2022/04/12/too-anxious-to-sleep/
[1] https://www.sunderlandecho.com/business/what-to-expect-as-acclaimed-grayson-perry-tapestries-featuring-sunderland-social-club-meat-draw-and-more-return-to-city-3649711
[1] https://twitter.com/philippa_perry/status/1514212299489386505
[1] https://twitter.com/bydonkeys/status/1514121732537393153
[1] https://sunderlandculture.org.uk/events/grayson-perry-the-vanity-of-small-differences/
[1] https://www.instagram.com/dots_that_rock?igshid=YmMyMTA2M2Y=

Top URLs in Tweet in G8:
[4] https://www.huffingtonpost.jp/entry/covid-breath-test_jp_6258c5fee4b0723f80174f41
[3] https://news.yahoo.co.jp/pickup/6423627
[3] https://news.yahoo.co.jp/articles/67ec1536c06fcbf0945e7702297929b40ac216b4
[2] https://www3.nhk.or.jp/news/html/20220415/k10013583471000.html
[2] https://nordot.app/885719491666132992
[2] https://news.yahoo.co.jp/articles/673713ce3290cf66ef7f2f66794ad38b06584cdb
[2] https://news.yahoo.co.jp/articles/49d45715c2b81c91137dba31aa78e63c941773af
[2] https://www.reuters.com/world/europe/italian-study-shows-ventilation-can-cut-school-covid-cases-by-82-2022-03-22/
[2] https://www.nbcphiladelphia.com/news/local/watch-will-philly-reinstate-indoor-mask-mandate/3204175/
[2] https://www.mhlw.go.jp/stf/newpage_25157.html

Top URLs in Tweet in G9:
[1] https://www.dovepress.com/getfile.php?fileID=78447
[1] https://en.wikipedia.org/wiki/Subacute_sclerosing_panencephalitis

Top URLs in Tweet in G10:
[17] https://www.bestusatee.com/covid-measles-varicella-meningococcus-polio-tetanu?name=apparel-classic-tshirt-lifestyle-front-187
[1] https://twitter.com/MSN/status/1513703586873544704
[1] https://twitter.com/gavinohara/status/1514788203030491137
[1] https://www.cnn.com/2021/03/31/media/tucker-carlson-matt-gaetz-reaction/index.html
[1] https://www.wsj.com/amp/articles/another-potential-covid-19-lab-leak-clue-china-11644615472
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41392-022-00941-z
[1] https://twitter.com/Tuliodna/status/1513529950082588673
[1] https://www.theatlantic.com/health/archive/2022/03/covid-vaccination-kids-measles-polio/627026/

Top Domains
Top Domains in Tweet in Entire Graph:
[184] twitter.com
[27] co.jp
[22] nhs.uk
[17] bestusatee.com
[13] nih.gov
[13] co.uk
[8] dailytrust.com
[8] outbreaknewstoday.com
[8] cdc.gov
[8] wordpress.com

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

Top Domains in Tweet in G2:
[7] flutrackers.com
[6] twitter.com
[5] outbreaknewstoday.com
[1] europa.eu
[1] vigiaccess.org
[1] medicinenet.com

Top Domains in Tweet in G3:
[10] twitter.com
[2] unocha.org
[2] asef.org
[2] fcld.ly
[1] openwho.org

Top Domains in Tweet in G4:
[54] twitter.com
[10] nhs.uk
[8] wordpress.com
[3] outbreaknewstoday.com
[3] jpeds.com
[3] nih.gov
[3] promedmail.org
[3] tvn.news
[2] com.au
[2] purchaseagain.com

Top Domains in Tweet in G6:
[2] cdc.gov
[1] youtube.com
[1] jamanetwork.com
[1] org.au
[1] apnews.com

Top Domains in Tweet in G7:
[5] twitter.com
[2] emma-lucy-thomson.net
[2] parliament.uk
[1] co.uk
[1] myshopify.com
[1] sunderlandecho.com
[1] org.uk
[1] instagram.com
[1] gofundme.com

Top Domains in Tweet in G8:
[39] twitter.com
[27] co.jp
[7] or.jp
[5] huffingtonpost.jp
[4] go.jp
[3] lg.jp
[2] nordot.app
[2] reuters.com
[2] nbcphiladelphia.com
[2] elsevierhealth.com

Top Domains in Tweet in G9:
[1] dovepress.com
[1] wikipedia.org

Top Domains in Tweet in G10:
[17] bestusatee.com
[3] twitter.com
[1] cnn.com
[1] wsj.com
[1] nature.com
[1] theatlantic.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[394] tigray
[275] tehreeklabbaikpakistan
[275] عہدشکن_شکنجےمیں
[112] metz
[80] measles
[30] covid19
[19] defi
[16] bsc
[16] sarscov2
[14] tigrayissuffering



Top Hashtags in Tweet in G2:
[5] measles
[4] philippines
[4] dengue
[1] brazil
[1] saopaulo
[1] outbreak
[1] onpoli
[1] facts
[1] covid19
[1] getvaccinated

Top Hashtags in Tweet in G3:
[394] tigray
[12] tigrayissuffering
[6] ukraine
[4] covid19
[3] allowaccesstotigray
[3] supporthr6600
[3] measles
[2] worldhealthday
[2] healthiertomorrow
[2] mondayhealthburst

Top Hashtags in Tweet in G4:
[15] measles
[5] rubella
[4] vaccineswork
[4] mumps
[3] vaccinessavelives
[3] vaccination
[3] covid
[3] vaccine
[2] wearamask
[2] bsc

Top Hashtags in Tweet in G5:
[263] tehreeklabbaikpakistan
[263] عہدشکن_شکنجےمیں

Top Hashtags in Tweet in G6:
[1] vaccineswork
[1] covid
[1] sb871

Top Hashtags in Tweet in G7:
[4] graysonperry
[3] borisjohnson
[2] graysonsartclub
[2] artist
[2] colourful
[2] nftart
[2] art
[2] painting
[2] fun
[2] joyisanactofrebellion

Top Hashtags in Tweet in G8:
[4] nhk_news
[2] 空港検疫をpcrに戻して下さい
[2] 新型コロナウイルス肺炎
[2] スイセン
[2] 臨床中毒
[2] 誤食
[2] 寝屋川市の選択登校制を全国で
[2] オンライン授業を出席に
[2] モーニングショー
[1] アメブロ

Top Hashtags in Tweet in G9:
[1] antivaxxers
[1] windupantivaxxerswednesday

Top Hashtags in Tweet in G10:
[1] title42
[1] vaccines

Top Words
Top Words in Tweet in Entire Graph:
[5471] measles
[3144] polio
[2704] one
[2698] going
[2542] each
[1687] mumps
[1618] rubella
[1589] vaccinated
[1468] tetanus
[1455] influenza

Top Words in Tweet in G1:
[1337] measles
[1337] polio
[1336] mumps
[1336] rubella
[1336] tetanus
[1335] vaccinated
[1335] influenza
[1335] meningococcal
[1335] later
[1334] cmclymer

Top Words in Tweet in G2:
[2466] one
[2462] going
[2461] each
[1357] measles
[1294] polio
[1277] laseletzky
[1232] imagine
[1230] saying
[36] vaccinated
[34] covid

Top Words in Tweet in G3:
[645] children
[627] being
[626] expected
[626] receive
[626] mandatory
[626] vaccinations
[626] given
[626] mothers
[626] waiting
[626] empty

Top Words in Tweet in G4:
[341] measles
[57] against
[55] covid
[52] vaccine
[39] polio
[38] rubella
[36] mumps
[36] vaccines
[34] vaccinated
[29] people

Top Words in Tweet in G5:
[526] show
[263] #tehreeklabbaikpakistan
[263] #عہدشکن_شکنجےمیں
[263] others
[263] power
[263] dancing
[263] women
[263] measles
[228] ahr_shr
[34] tlp_shernii

Top Words in Tweet in G6:
[95] measles
[55] enirenberg
[46] polio
[32] vaccine
[32] sanitation
[31] without
[30] health
[30] vaccination
[29] controlled
[28] undeniably

Top Words in Tweet in G7:
[105] alan_measles
[17] grayson
[13] philippa_perry
[12] petition
[11] art
[10] night
[10] thank
[10] twitter
[9] show
[9] kendal

Top Words in Tweet in G8:
[10] covid
[8] triangle24
[6] と
[6] ごめんなさい
[6] 要介護1
[6] 新型コロナ
[5] koichi_kawakami
[5] です
[5] で
[4] は

Top Words in Tweet in G9:
[44] measles
[17] swaledalemutton
[14] vaccinated
[11] jikkyleaks
[10] breezergalway
[10] polio
[9] factode305
[9] vaccines
[8] sharky_vs_evil
[8] smallpox

Top Words in Tweet in G10:
[29] measles
[15] vaccine
[13] emywinst
[12] potus
[11] covid
[9] polio
[7] people
[7] mumps
[7] pox
[7] ltrnforever

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2530] each,one
[2528] going,each
[1396] influenza,measles
[1392] rubella,tetanus
[1386] mumps,polio
[1380] polio,rubella
[1377] vaccinated,influenza
[1377] measles,meningococcal
[1377] meningococcal,mumps
[1377] tetanus,later

Top Word Pairs in Tweet in G1:
[1336] rubella,tetanus
[1335] vaccinated,influenza
[1335] influenza,measles
[1335] measles,meningococcal
[1335] meningococcal,mumps
[1335] mumps,polio
[1335] polio,rubella
[1335] tetanus,later
[1334] enlisted,vaccinated
[1333] cmclymer,enlisted

Top Word Pairs in Tweet in G2:
[2458] each,one
[2457] going,each
[1231] laseletzky,imagine
[1230] measles,going
[1229] imagine,saying
[1229] one,measles
[1228] saying,polio
[1228] polio,going
[31] cmclymer,enlisted
[31] enlisted,vaccinated

Top Word Pairs in Tweet in G3:
[626] children,expected
[626] expected,receive
[626] receive,mandatory
[626] mandatory,vaccinations
[626] vaccinations,being
[626] being,given
[626] given,mothers
[626] mothers,waiting
[626] waiting,empty
[447] lack,access

Top Word Pairs in Tweet in G4:
[26] measles,mumps
[25] covid,19
[23] vaccinated,against
[21] mumps,rubella
[17] measles,vaccine
[15] against,measles
[13] polio,measles
[12] measles,はしか
[11] measles,outbreak
[11] defence,against

Top Word Pairs in Tweet in G5:
[263] #tehreeklabbaikpakistan,#عہدشکن_شکنجےمیں
[263] #عہدشکن_شکنجےمیں,others
[263] others,show
[263] show,power
[263] power,show
[263] show,dancing
[263] dancing,women
[263] women,measles
[228] ahr_shr,#tehreeklabbaikpakistan
[34] tlp_shernii,#tehreeklabbaikpakistan

Top Word Pairs in Tweet in G6:
[28] sanitation,undeniably
[28] undeniably,essential
[28] essential,public
[28] public,health
[28] health,controlled
[28] controlled,polio
[28] polio,without
[28] without,vaccination
[27] enirenberg,sanitation
[27] vaccination,sanitatio

Top Word Pairs in Tweet in G7:
[8] philippa_perry,alan_measles
[7] feeling,tired
[7] tired,ill
[7] ill,chemo
[7] chemo,kind
[7] kind,person
[7] person,twitter
[7] twitter,share
[7] share,petition
[7] petition,feed

Top Word Pairs in Tweet in G8:
[4] 教育で,壁ドン
[3] covid,human
[3] human,genetic
[3] genetic,effort
[3] 東京都中央区議の医師,コロナ陽性判明後も院長務めるクリニックで診療継続
[2] まずいと思うなぁ,スマホにマイナンバー機能搭載
[2] スマホにマイナンバー機能搭載,今年度中の実用化目指す
[2] 今年度中の実用化目指す,総務相
[2] 総務相,新たな詐欺の手口に使われるだろうし
[2] 新たな詐欺の手口に使われるだろうし,紐付けしてまとめるほど

Top Word Pairs in Tweet in G9:
[6] fifteencharacto,factode305
[6] factode305,swaledalemutton
[6] swaledalemutton,parsifaler
[6] parsifaler,dylanthedog9
[5] blacktomthepir8,jikkyleaks
[5] jikkyleaks,sharky_vs_evil
[5] sharky_vs_evil,fifteencharacto
[5] measles,polio
[4] notright510710,blacktomthepir8
[4] sars,cov

Top Word Pairs in Tweet in G10:
[6] chicken,pox
[6] emywinst,potus
[5] tuberculosis,measles
[4] ltrnforever,potus
[4] potus,tuberculosis
[4] measles,seen
[4] seen,borders
[4] borders,far
[4] far,worse
[4] worse,covid

Top Replied-To
Top Replied-To in Entire Graph:
@alan_measles
@laseletzky
@iaingordon2
@enirenberg
@nickhenriquez
@andrewrosesc
@_measles_
@spookyjay36
@laura53246
@hjelle_brian

Top Replied-To in G1:
@czedwards
@cmclymer

Top Replied-To in G2:
@laseletzky
@laura53246
@tmilawson
@keydecision1
@kevcol12
@dessertrat33
@stephenlevin33
@futuristpaul
@seattletimes
@vixenvalentino

Top Replied-To in G3:
@time
@save_children
@jamesfthibault
@joncoopertweets

Top Replied-To in G6:
@sixandlaura
@enirenberg
@fvckyourfear
@suzcrimi
@jimeeliberty
@isa_fang
@boglet12
@msw_researcher
@guardaranha
@swedishchf

Top Replied-To in G7:
@alan_measles
@theavocadofairy
@helenus_
@yeye_o
@bramleyclothing
@philippa_perry
@sciencemuseum
@cma_african
@allotmenthelen
@jenniferrrls

Top Replied-To in G8:
@koichi_kawakami
@tasaki_kanagawa
@mhlwitter
@nhk_news
@hiromi19611
@ezoshika8020
@luna11053

Top Replied-To in G9:
@_schnauzers
@ichudov
@breezergalway
@birdyedwards5
@blacktomthepir8
@swaledalemutton
@badmedicaltakes
@msmcglau
@saltypiet
@threedogsonekid

Top Replied-To in G10:
@ragnarwebmaster
@de2344
@eden_bound
@foxnews
@abcnews
@kevinlloyd11
@frank_schaeffer
@richardengel
@sarahjonesprice
@narspeaks

Top Mentioned
Top Mentioned in Entire Graph:
@cmclymer
@laseletzky
@tigray_micky
@ahr_shr
@meronawit_axum
@mahirara12
@azebaze59444506
@alisonleversha
@auschwitzmuseum
@gual_weldsh

Top Mentioned in G1:
@cmclymer

Top Mentioned in G2:
@laseletzky
@cmclymer
@flutrackers
@laura53246
@mikeggibbs
@bactiman63
@joellenzacks
@futuristpaul
@incindery1
@robinsoped201

Top Mentioned in G3:
@tigray_micky
@meronawit_axum
@mahirara12
@azebaze59444506
@gual_weldsh
@yorsihabesha
@selam_sabagadis
@who
@asterk_tdf
@yemane_birhan

Top Mentioned in G4:
@jeaninedeal
@vote4progress
@brewminate
@renesugar
@jycurci

Top Mentioned in G5:
@ahr_shr

Top Mentioned in G6:
@enirenberg
@doritmi
@skepticalmutant
@mcfunny
@monstercoyliar
@handmadekathy
@pompili_amanda
@nockit1
@nomisinfotoday
@plhartungrn

Top Mentioned in G7:
@alan_measles
@philippa_perry
@theavocadofairy
@stephenfry
@tomdaley1994
@charliemackesy
@mrnickknowles
@realmattlucas
@rickygervais
@sundmuseum

Top Mentioned in G8:
@triangle24
@koichi_kawakami
@twin_emo
@nhk_news
@la_neige_fleur
@neguse_de_gogo
@sosorasora3
@luna11053
@foshant
@yahoonewstopics

Top Mentioned in G9:
@swaledalemutton
@jikkyleaks
@factode305
@sharky_vs_evil
@breezergalway
@notright510710
@fifteencharacto
@parsifaler
@dylanthedog9
@prezjoeyb

Top Mentioned in G10:
@emywinst
@potus
@ltrnforever
@foxnews
@tuckercarlson
@rashidatlaib
@abc
@jimrosenthal4
@phillipsnanl
@nbcnews

Top Tweeters
Top Tweeters in Entire Graph:
@paul_cude
@dynamocooligan
@alhanda
@rk70534
@sosorasora3
@phillip92321
@lizditz
@flight_refunds
@httweets
@lesleygsmith3

Top Tweeters in G1:
@givemepie360
@marthalynneowe1
@vedehimajumdar
@jrbkjrbk
@the_lady_red
@mzlianne
@loulachat
@jodotcom
@ecwpunk81
@boandsunny

Top Tweeters in G2:
@teram323tere
@akuma_river
@denniskoch10
@brontyman
@curiocat13
@sallyrmelb
@radlein
@linda1746
@roripierpont1
@manchuriandevil

Top Tweeters in G3:
@time
@sntayehuaraya
@gdorn1
@nigsti_tigray
@letebrhangebre1
@ferwinib
@gebrihethg
@great_tgray
@protect_tigray
@mussietesfaye4

Top Tweeters in G4:
@independentngr
@kargadan
@tummler10
@jseulement2019
@young_andretti
@maalaimalar
@naijanewswire
@srb1970rita
@jer1dah
@shell_eeeyyy

Top Tweeters in G5:
@bint72
@ahr_shr
@afzalri35332884
@mohdshahid04461
@hig456
@r0i2zvi
@outfrance
@muhamma92651177
@shahid94059669
@haidrm_mstam

Top Tweeters in G6:
@lizditz
@scott_squires
@doritmi
@scepticalaussie
@sapienist
@wrecksdart
@edzardernst
@monstercoyliar
@lordwhorfin
@rosenfieldclar1

Top Tweeters in G7:
@hugorelly
@killhopelaw
@surreylive
@petecityprice
@sunderlandecho
@philippa_perry
@i_bukkzxx
@shelaghfogarty
@talkradio
@auntiepegg

Top Tweeters in G8:
@sosorasora3
@uchida_kawasaki
@sleep_sheep2010
@nhk_news
@kottur_lover22
@yahoonewstopics
@qbk_jitensya
@oosakahaoosaka
@kaokou11
@huffpostjapan

Top Tweeters in G9:
@saffiya_khan1
@maryspes
@takethatct
@ravenxv
@breezergalway
@u6239
@yorkieautie
@maccspider
@jneill
@biscuitsgod

Top Tweeters in G10:
@businessinsider
@hrothenb
@foxnews
@abc
@cnn
@marketwatch
@abcnews
@bbcworld
@nbcnews
@cbsnews


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