Coronavirus, Twitter, 12/4/2022 9:32:21 PM, 285502


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Coronavirus_2022-12-04_02-05-37.xlsx
Coronavirus_2022-12-04_02-05-37.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 04, 2022
Short Description:
Coronavirus via NodeXL https://bit.ly/3UuMJPo
@osvaldobazan
@agustinromm
@vtvcanal8
@reutersjapan
@bnofeed
@newsdigestweb
@reporteya
@todonoticias
@juezlopezmdp
@financialtimes

Top hashtags:
#coronavirus
#covid19
#prevención
#china
#新型コロナウイルス
#44894
#covid
#covid_19

Description:
Description
The graph represents a network of 8,108 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 December 2022 at 10:23 UTC.

The requested start date was Sunday, 04 December 2022 at 01:01 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, 1-hour, 15-minute period from Wednesday, 30 November 2022 at 11:10 UTC to Friday, 02 December 2022 at 12:25 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 : 8108
Unique Edges : 3727
Edges With Duplicates : 11224
Total Edges : 14951
Number of Edge Types : 5
Retweet : 4996
MentionsInRetweet : 5651
Replies to : 625
Tweet : 2466
Mentions : 1213
Self-Loops : 2527
Reciprocated Vertex Pair Ratio : 0.00369167158889545
Reciprocated Edge Ratio : 0.00735618655289098
Connected Components : 2082
Single-Vertex Connected Components : 1060
Maximum Vertices in a Connected Component : 698
Maximum Edges in a Connected Component : 1690
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.454107
Graph Density : 0.000103405432848722
Modularity : 0.506285
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,108 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 December 2022 at 10:23 UTC.

The requested start date was Sunday, 04 December 2022 at 01:01 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, 1-hour, 15-minute period from Wednesday, 30 November 2022 at 11:10 UTC to Friday, 02 December 2022 at 12:25 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 : Coronavirus
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:
[175] https://newsdigest.jp/pages/coronavirus/
[135] https://www.scmp.com/economy/china-economy/article/3201714/coronavirus-chinas-road-economic-recovery-slow-costly-and-bumpy-despite-new-phase-covid-controls
[68] https://jp.reuters.com/article/health-coronavirus-clinton-idJPKBN2SK277?taid=6387befe4be71a0001e4b348&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[59] https://jp.reuters.com/article/health-coronavirus-france-idJPKBN2SK022
[38] https://www3.nhk.or.jp/news/special/coronavirus/data/
[32] https://www.npr.org/sections/coronavirus-live-updates/2021/02/15/968059128/fauci-awarded-1-million-israeli-prize-for-speaking-truth-to-power-amid-pandemic
[31] https://www.viveport.com/5e1030e7-a22d-4703-bc61-0b9392675357
[30] https://tn.com.ar/politica/2022/12/01/el-gobierno-oculto-la-letra-chica-de-la-compra-de-vacunas-contra-el-coronavirus-por-mas-de-us1700-millones/
[26] https://jp.reuters.com/article/health-coronavirus-china-idJPKBN2SL2T8?taid=6388741e239b0200013b6070&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[24] https://www3.nhk.or.jp/news/special/coronavirus/data-all/

Top URLs in Tweet in G1:
[133] https://www.scmp.com/economy/china-economy/article/3201714/coronavirus-chinas-road-economic-recovery-slow-costly-and-bumpy-despite-new-phase-covid-controls
[30] https://www3.nhk.or.jp/news/special/coronavirus/data/
[14] https://tn.com.ar/politica/2022/12/01/el-gobierno-oculto-la-letra-chica-de-la-compra-de-vacunas-contra-el-coronavirus-por-mas-de-us1700-millones/
[12] https://fij.info/coronavirus-feature/overseas#tempo0211
[9] https://jp.reuters.com/article/health-coronavirus-france-idJPKBN2SK022
[7] https://coronavirus.gob.mx/exceso-de-mortalidad-en-mexico/
[7] https://www.inegi.org.mx/sistemas/olap/proyectos/bd/continuas/mortalidad/mortalidadgeneral.asp?s=est&c=11144&proy=mortgral_mg#
[7] https://cerodesabasto.org
[7] https://www.gob.mx/cms/uploads/attachment/file/665501/3er_INFORME_DE_LABORES_2020_2021.pdf
[7] https://ourworldindata.org/covid-vaccinations?country=MEX~USA~CRI

Top URLs in Tweet in G2:
[6] https://tn.com.ar/politica/2022/12/01/el-gobierno-oculto-la-letra-chica-de-la-compra-de-vacunas-contra-el-coronavirus-por-mas-de-us1700-millones/
[1] https://tn.com.ar/politica/2022/12/01/el-gobierno-oculto-la-letra-chica-de-la-compra-de-vacunas-contra-el-coronavirus-por-mas-de-us1700-millones/?utm_medium=Social&utm_campaign=tn_todonoticias&utm_source=Twitter#Echobox=1669911827-3
[1] https://www.infobrisas.com/noticias/2022/12/01/50259-un-juez-de-mar-del-plata-ordeno-suspender-la-promocion-de-la-vacunacion-contra-el-coronavirus-en-los-menores
[1] https://www.nexofin.com/notas/1054179-coronavirus-por-la-suba-de-casos-se-quintuplico-la-demanda-de-vacunas-en-caba-y-la-provincia-de-buenos-aires-n-/
[1] http://www.cooperativa.cl/noticias/sociedad/salud/coronavirus/algunas-ciudades-chinas-relajan-medidas-ante-una-nueva-situacion-pandemica/2022-12-01/074454.html

Top URLs in Tweet in G4:
[2] https://news.sky.com/story/covid-19-government-broke-the-law-by-failing-care-home-residents-who-died-of-coronavirus-high-court-rules-12599918
[2] https://scroll.in/latest/1038741/india-saw-highest-levels-of-covid-19-related-religious-hostilities-in-2020-pew-research-center
[1] https://on.ft.com/3B2eMyz
[1] https://www.insidehousing.co.uk/news/news/affordable-housing-starts-up-10-according-to-latest-figures-79198
[1] https://www.theguardian.com/uk-news/2021/dec/08/met-police-say-they-will-not-investigate-downing-street-christmas-party

Top URLs in Tweet in G6:
[2] https://www.diariocontraste.com/2021/01/por-que-es-tan-importante-medir-la-oxigenacion-si-se-tiene-coronavirus/
[1] https://bit.ly/3U9XDcT
[1] https://www.dw.com/p/4KGic

Top URLs in Tweet in G7:
[2] https://www.boston.com/news/coronavirus/2022/11/29/massachusetts-will-give-you-a-75-gift-card-if-you-get-vaccinated-or-boosted/
[1] https://www.lifesitenews.com/news/medical-clinic-treating-people-injured-by-covid-shot-opens-in-italy/?utm_source=daily-world-2022-11-29&utm_medium=email
[1] https://jeminformetv.com/2022/12/02/non-lepidemie-de-coronavirus-ne-repart-pas-meme-dapres-les-chiffres-officiels-de-sante-publique-france/
[1] https://association-victimes-coronavirus-france.org/appel-aux-dons/

Top URLs in Tweet in G8:
[170] https://newsdigest.jp/pages/coronavirus/
[12] https://www3.nhk.or.jp/news/special/coronavirus/data-all/
[7] https://www3.nhk.or.jp/news/special/coronavirus/data/
[5] https://www.city.kunitachi.tokyo.jp/soshiki/Dept03/Div07/Sec02/gyomu/0118/kansenshou_chudoku/coronavirus/1586478734457.html
[4] https://www3.nhk.or.jp/news/special/coronavirus/world-data/
[3] https://www.7andi.com/company/info/coronavirus.html
[3] https://www.palsystem-tokyo.coop/news/95297/
[3] http://www.lifecorp.jp/vc-files/pdf/newsrelease/corona2/220926keijisin.pdf
[2] https://www.city.higashiyamato.lg.jp/index.cfm/37,102350,399,html
[2] https://www.city.fuchu.tokyo.jp/kenko/kenko/karada/coronavirus/kansennshounokannjyasuu.html

Top URLs in Tweet in G9:
[68] https://jp.reuters.com/article/health-coronavirus-clinton-idJPKBN2SK277?taid=6387befe4be71a0001e4b348&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[23] https://jp.reuters.com/article/health-coronavirus-china-idJPKBN2SL2T8?taid=6388741e239b0200013b6070&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[16] https://jp.reuters.com/article/health-coronavirus-france-idJPKBN2SK022?taid=6386ae348386770001dd9b80&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[12] https://jp.reuters.com/article/health-coronavirus-china-usa-idJPKBN2SM09A?taid=6389a27e239b0200013bb51b&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[8] https://jp.reuters.com/news/world/coronavirus
[5] https://jp.reuters.com/article/health-coronavirus-china-sun-idJPKBN2SL38P?taid=638883793cb3cc00018da6b4&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[5] https://trib.al/Yfj1fyL
[4] https://jp.reuters.com/article/health-coronavirus-france-idJPKBN2SK022?taid=6386cabd12d50700015dbdd4&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[3] https://jp.reuters.com/article/health-coronavirus-china-idJPKBN2SK2FC?taid=6387ea1112d5070001f94c31&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[3] https://jp.reuters.com/article/health-coronavirus-china-cases-idJPKBN2SM03O?taid=63895c473cb3cc00018de0e0&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter

Top URLs in Tweet in G10:
[21] https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates
[6] https://www.bhf.org.uk/informationsupport/heart-matters-magazine/news/coronavirus-and-your-health/is-coronavirus-a-disease-of-the-blood-vessels
[2] https://www.standard.co.uk/news/health/long-covid-ons-coronavirus-uk-b1044145.html
[2] https://newsdigest.jp/pages/coronavirus/
[2] https://www.acoss.org.au/media_release/new-research-shows-pernicious-effects-of-removal-of-coronavirus-supplement/
[1] https://www.nytimes.com/2022/12/01/opinion/china-has-an-extraordinary-covid-19-dilemma.html?action=click&module=Well&pgtype=Homepage§ion=Guest%20Essays
[1] https://coronavirus.tas.gov.au/facts/tasmanian-statistics
[1] https://thewest.com.au/news/coronavirus/covid-in-wa-rockingham-general-hospitals-icu-hit-by-virus-outbreaking-leaving-fewer-staff-to-manage-patients-c-9020283
[1] https://coronavirus.vic.gov.au
[1] https://povertyandinequality.acoss.org.au/poverty/new-research-shows-pernicious-effects-of-removal-of-coronavirus-supplement/

Top Domains
Top Domains in Tweet in Entire Graph:
[314] reuters.com
[186] scmp.com
[175] newsdigest.jp
[112] twitter.com
[107] or.jp
[98] nhs.uk
[70] com.ar
[57] co.uk
[52] theguardian.com
[45] youtube.com

Top Domains in Tweet in G1:
[145] scmp.com
[58] or.jp
[47] twitter.com
[43] com.ar
[42] reuters.com
[36] nhs.uk
[27] com.br
[22] gob.mx
[17] co.uk
[16] gov.uk

Top Domains in Tweet in G2:
[7] com.ar
[1] infobrisas.com
[1] nexofin.com
[1] cooperativa.cl

Top Domains in Tweet in G4:
[2] sky.com
[2] scroll.in
[1] ft.com
[1] co.uk
[1] theguardian.com

Top Domains in Tweet in G6:
[2] diariocontraste.com
[1] bit.ly
[1] dw.com

Top Domains in Tweet in G7:
[2] boston.com
[1] lifesitenews.com
[1] jeminformetv.com
[1] association-victimes-coronavirus-france.org

Top Domains in Tweet in G8:
[170] newsdigest.jp
[23] or.jp
[7] tokyo.jp
[6] lg.jp
[3] 7andi.com
[3] palsystem-tokyo.coop
[3] lifecorp.jp
[3] reuters.com

Top Domains in Tweet in G9:
[154] reuters.com
[7] trib.al

Top Domains in Tweet in G10:
[21] economist.com
[6] org.uk
[3] org.au
[2] gov.au
[2] co.uk
[2] newsdigest.jp
[1] nytimes.com
[1] com.au

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[947] coronavirus
[704] covid19
[381] prevención
[268] china
[168] 新型コロナウイルス
[134] 44894
[127] covid
[75] covid_19
[63] sarscov2
[45] corona



Top Hashtags in Tweet in G1:
[304] coronavirus
[186] covid19
[43] covid
[31] china
[15] news
[14] corona
[12] sarscov2
[11] virus
[11] salud
[11] home

Top Hashtags in Tweet in G2:
[5] cooperativacontigo

Top Hashtags in Tweet in G3:
[368] prevención
[18] covid19
[6] pdvsaenvictoria
[4] lologramosenméxico
[3] 11/29/2022 12:00:00 AM
[3] 11/30/2022 12:00:00 AM
[2] 01dic
[2] asílodijo
[1] expoportuguesa2022
[1] fitvenesdesarrollo

Top Hashtags in Tweet in G4:
[2] affordablehousing
[2] covid_19
[2] india
[2] lockdown

Top Hashtags in Tweet in G6:
[160] coronavirus
[137] china
[130] 11/29/2022 12:00:00 AM
[23] venezuela
[19] 2dic
[11] 1dic
[10] covid19
[9] 11/30/2022 12:00:00 AM
[8] desinformación
[5] cantón

Top Hashtags in Tweet in G8:
[158] 新型コロナウイルス
[140] covid19
[13] newsdigest
[7] 全国コロナ

Top Hashtags in Tweet in G10:
[6] covid19wa
[3] covid
[2] dailyupdate
[2] 新型コロナウイルス
[2] covid19
[1] coronavirus
[1] covid19tas
[1] covid19vic

Top Words
Top Words in Tweet in Entire Graph:
[2842] coronavirus
[1444] covid
[947] #coronavirus
[893] china
[765] contra
[715] 19
[704] #covid19
[532] vacunas
[500] compra
[494] gobierno

Top Words in Tweet in G1:
[550] coronavirus
[487] covid
[304] #coronavirus
[228] 19
[214] china
[186] #covid19
[134] recovery
[129] economic
[108] phase
[107] slow

Top Words in Tweet in G2:
[463] contra
[441] vacunas
[440] compra
[438] chica
[438] gobierno
[438] ocultó
[438] letra
[241] conadep
[241] cuarentena
[241] temprano

Top Words in Tweet in G3:
[368] lugar
[368] #prevención
[368] centro
[368] ponte
[368] domicilio
[368] trabajo
[368] acude
[368] inmunización
[368] cercano
[368] vacuna

Top Words in Tweet in G4:
[242] compared
[242] britain
[242] made
[242] economy
[242] poorer
[242] brexit
[242] economists
[242] underperformed
[242] agree
[242] country

Top Words in Tweet in G5:
[183] ver
[183] china
[182] dictadura
[182] policía
[182] mujer
[182] comunista
[182] anal
[182] hacerse
[182] coronavirus
[182] obligando

Top Words in Tweet in G6:
[160] #coronavirus
[154] reporteya
[152] china
[137] #china
[130] suicidios
[130] #29nov
[130] confinamiento
[130] juannave
[130] escalada
[130] sometidos

Top Words in Tweet in G7:
[88] contre
[81] soigner
[81] secondaires
[81] effets
[81] vaccins
[81] ayant
[81] personnes
[81] clinique
[81] ouvert
[81] prétendus

Top Words in Tweet in G8:
[171] 詳細は下記urlより
[165] newsdigestweb
[158] #新型コロナウイルス
[140] #covid19
[129] masaru_kaneko
[96] 1人死亡
[86] カルトヤマギワの第8波
[86] キシダメの無能無策で
[64] 5人死亡
[60] どんどん死者が増加するが

Top Words in Tweet in G9:
[143] reutersjapan
[68] コロナ検査で陽性
[68] クリントン元米大統領
[68] 軽い症状
[24] 無症状者の多くは既に自宅隔離か
[24] 北京でひそかにコロナ規制緩和
[20] コロナ感染者が再び増加傾向
[20] 仏
[20] 政府はマスク着用検討を要請
[14] 米上院議員団が警告

Top Words in Tweet in G10:
[111] bnofeed
[87] cases
[87] coronavirus
[81] reports
[68] york
[68] months
[68] highest
[40] last
[40] deaths
[40] week

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[672] covid,19
[503] vacunas,contra
[486] compra,vacunas
[473] gobierno,ocultó
[473] letra,chica
[473] ocultó,letra
[473] chica,compra
[386] domicilio,lugar
[386] ponte,vacuna
[386] centro,inmunización

Top Word Pairs in Tweet in G1:
[215] covid,19
[128] economic,recovery
[104] covid,controls
[103] bumpy,despite
[103] recovery,slow
[103] despite,phase
[103] phase,covid
[71] china,economic
[70] slow,bumpy
[38] contra,coronavirus

Top Word Pairs in Tweet in G2:
[439] vacunas,contra
[439] compra,vacunas
[438] letra,chica
[438] ocultó,letra
[438] gobierno,ocultó
[438] chica,compra
[241] habrá,conadep
[241] temprano,habrá
[241] cuarentena,gobierno
[241] tarde,temprano

Top Word Pairs in Tweet in G3:
[368] acude,centro
[368] cercano,domicilio
[368] #prevención,acude
[368] centro,inmunización
[368] lugar,trabajo
[368] trabajo,ponte
[368] domicilio,lugar
[368] ponte,vacuna
[368] inmunización,cercano
[350] vtvcanal8,#prevención

Top Word Pairs in Tweet in G4:
[242] britain,poorer
[242] underperformed,compared
[242] economists,agree
[242] country,economy
[242] brexit,made
[242] economy,underperformed
[242] agree,brexit
[242] made,britain
[242] poorer,country
[241] financialtimes,economists

Top Word Pairs in Tweet in G5:
[182] china,obligando
[182] ver,coronavirus
[182] dictadura,comunista
[182] hacerse,test
[182] anal,ver
[182] test,anal
[182] policía,dictadura
[182] comunista,china
[182] mujer,hacerse
[182] obligando,mujer

Top Word Pairs in Tweet in G6:
[137] #coronavirus,#china
[130] #china,juannave
[130] #29nov,#coronavirus
[130] suicidios,china
[130] china,confinamiento
[130] confinamiento,sometidos
[130] escalada,suicidios
[130] juannave,escalada
[129] sometidos,ciudadano
[129] reporteya,#29nov

Top Word Pairs in Tweet in G7:
[81] italie,soigner
[81] vaccins,contre
[81] soigner,personnes
[81] effets,secondaires
[81] secondaires,prétendus
[81] ayant,subi
[81] clinique,ouvert
[81] prétendus,vaccins
[81] ouvert,italie
[81] subi,effets

Top Word Pairs in Tweet in G8:
[145] 詳細は下記urlより,#新型コロナウイルス
[140] #新型コロナウイルス,#covid19
[83] masaru_kaneko,カルトヤマギワの第8波
[59] キシダメの無能無策で,2022年に入って3万1441人が亡くなった
[59] 死者数は182人と多い,全数調査を止めた厚労省の集計でも累計4万9826人
[59] 2022年に入って3万1441人が亡くなった,どんどん死者が増加するが
[59] 全数調査を止めた厚労省の集計でも累計4万9826人,キシダメの無能無策で
[59] 今日の新型コロナ感染者数は11万8201人,死者数は182人と多い
[59] カルトヤマギワの第8波,今日の新型コロナ感染者数は11万8201人
[47] ワクチンはbq1対応配列の開発が行われている,日本ではゲノム配列の報道もワクチン開発もない

Top Word Pairs in Tweet in G9:
[68] クリントン元米大統領,コロナ検査で陽性
[68] コロナ検査で陽性,軽い症状
[67] reutersjapan,クリントン元米大統領
[24] 北京でひそかにコロナ規制緩和,無症状者の多くは既に自宅隔離か
[22] reutersjapan,北京でひそかにコロナ規制緩和
[20] 仏,コロナ感染者が再び増加傾向
[20] コロナ感染者が再び増加傾向,政府はマスク着用検討を要請
[18] reutersjapan,仏
[14] 重大な結果,招く
[14] 中国デモの暴力的弾圧は,重大な結果

Top Word Pairs in Tweet in G10:
[81] coronavirus,cases
[68] highest,months
[66] bnofeed,york
[40] last,week
[38] 615,coronavirus
[38] 42,last
[38] week,highest
[38] reports,615
[38] york,reports
[38] cases,42

Top Replied-To
Top Replied-To in Entire Graph:
@diopatriaf
@lastampa
@berniespofforth
@drlimengyan1
@madigan111
@intravenusmp
@renatajbarreto
@lulaoficial
@foxnews
@nicolasberrod

Top Replied-To in G2:
@todonoticias

Top Replied-To in G4:
@thecarolemalone

Top Replied-To in G7:
@pjd77420
@yvespdb
@tatiann69922625
@cnews
@alexpar20293037
@m_zenonus
@gustaviomar
@martinblachier
@ju_mha
@xyz_apologia

Top Replied-To in G10:
@bnofeed
@evfigures
@musknuts
@itosettimd_mba

Top Mentioned
Top Mentioned in Entire Graph:
@vtvcanal8
@financialtimes
@osvaldobazan
@agustinromm
@newsdigestweb
@reporteya
@reutersjapan
@juannave
@masaru_kaneko
@delcyrodriguezv

Top Mentioned in G1:
@besserewege
@jayi_wang
@galactr0n
@cmencke
@rfloresdapkevic
@trains_are_best
@rosarinoticias
@stresscoachuk
@purohitshekhar2

Top Mentioned in G2:
@osvaldobazan
@todonoticias
@mavica81
@juezlopezmdp
@mattonefabian
@cooperativa
@alesmiguens
@agustinromm
@nexofin
@mdqnormy

Top Mentioned in G3:
@vtvcanal8
@delcyrodriguezv
@nicolasmaduro
@gnb_falconcvc
@grecaudacion

Top Mentioned in G4:
@financialtimes
@scroll_in
@lse_london
@insidehousing
@spascoallima
@thecarolemalone

Top Mentioned in G5:
@agustinromm
@osvaldobazan

Top Mentioned in G6:
@reporteya
@juannave
@laderechadiario
@dw_espanol
@vtvcanal8
@alertamundial2
@alertanews24
@mundoeconflicto
@delcyrodriguezv
@dcnhoy

Top Mentioned in G7:
@blemontd
@gayets
@krieger66362259
@m_zenonus
@martinblachier
@debunkeretoiles
@f51pilou
@tatiann69922625
@immortellexiii
@france_soir

Top Mentioned in G8:
@newsdigestweb
@masaru_kaneko
@tamacat22
@sosorasora3
@reutersjapan

Top Mentioned in G9:
@reutersjapan
@masaru_kaneko

Top Mentioned in G10:
@bnofeed
@itosettimd_mba
@bigbaddenis
@observingangel
@musknuts
@forlorn_theresa
@delthiaricks
@newsdigestweb
@rubberducky333
@fetskatze

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@tomthunkitsmind
@el_cooperante
@rashidaldosari
@tommybrain
@jurylady5
@manchan_sub_acc
@iacobellist
@ecodaren
@portaldiarioar

Top Tweeters in G1:
@tommybrain
@iacobellist
@portaldiarioar
@welt_eu
@realercanates1
@lado_mx
@jacekwierzbicki
@diariocontraste
@daily_express
@personalfitnes3

Top Tweeters in G2:
@cooperativa
@nexofin
@_patitom
@anagaza1
@gustavo__olmos
@alesmiguens
@krisargentia
@laurapvignatti
@adriana2366
@edvescobar

Top Tweeters in G3:
@vtvcanal8
@joserafaelbenc2
@mariafigueredo3
@nanunsc2
@rodalexandre25
@mppsmiranda
@marianoguera21
@vicevenezuela
@grecaudacion
@nicolasmaduro

Top Tweeters in G4:
@tshep42
@aunty_shirley
@heather63262308
@hacketttom
@shambles151
@scroll_in
@jkldnmad
@seusssl
@financialtimes
@ellen_coyle

Top Tweeters in G5:
@shababaty
@b29c221303e34a5
@manolinarias
@raulg2a
@renepari5
@hctorrocacampo1
@pandomutante
@carmenzavaleta1
@ceciliagalbo
@angulli

Top Tweeters in G6:
@reporteya
@farahseito
@francisco_romer
@dcnhoy
@pablogamez1
@mendezdublin
@margaquirogab
@urbano2531
@jsuareza23
@argenisrbarreto

Top Tweeters in G7:
@m2bliquis
@brunedrot
@yvespdb
@pvalsfr
@talullabellefle
@cnews
@nath92798323
@dufailly1
@abou_portant07
@carmenacoleman

Top Tweeters in G8:
@ecodaren
@kzooooo
@tem_fsedwxwac
@toneunga3
@sosorasora3
@washiro
@taka910910
@ebitiri_rie
@kazamasemi
@black_dub4u

Top Tweeters in G9:
@takayan309
@kazooooya
@nozakitakehide
@giro_45acp
@moltoke_rumia1p
@kouzie01
@swamrer5480
@akkyi2
@fukupud
@mik18714041

Top Tweeters in G10:
@jurylady5
@paulsorrentino3
@dollymad1812
@colleenmmck618
@46mingo
@avildsen
@dr_anniem13
@shubblington
@lacunalingua_3
@ta_massan


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