NCoV, Twitter, 8/19/2022 10:01:18 AM, 280339


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NCoV_2022-08-19_02-08-55.xlsx
NCoV_2022-08-19_02-08-55.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 19, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3dE1Wh9
@cdcgov
@_2019_ncov
@potus
@mashiahchrist
@myofb5
@madameputtery
@george_jazzcat
@80syaku
@pasdhypocrisie
@mariesomar

Top hashtags:
#covid19
#新型コロナウイルス感染症情報
#covid_19
#covid19vaccines
#cdc
#coronavirus
#mrna
#covid
#spike
#코로나19

Description:
Description
The graph represents a network of 6,888 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 19 August 2022 at 09:25 UTC.

The requested start date was Friday, 19 August 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 3-day, 21-hour, 9-minute period from Sunday, 14 August 2022 at 15:17 UTC to Thursday, 18 August 2022 at 12:27 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 : 6888
Unique Edges : 5485
Edges With Duplicates : 16240
Total Edges : 21725
Number of Edge Types : 5
Replies to : 2276
Retweet : 4640
MentionsInRetweet : 7800
Tweet : 802
Mentions : 6207
Self-Loops : 857
Reciprocated Vertex Pair Ratio : 0.0252778597423035
Reciprocated Edge Ratio : 0.0493092862624712
Connected Components : 570
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 4538
Maximum Edges in a Connected Component : 17329
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.045683
Graph Density : 0.000219741042854225
Modularity : 0.421588
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,888 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 19 August 2022 at 09:25 UTC.

The requested start date was Friday, 19 August 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 3-day, 21-hour, 9-minute period from Sunday, 14 August 2022 at 15:17 UTC to Thursday, 18 August 2022 at 12:27 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 : NCoV
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:
[563] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[341] https://www.nicovideo.jp/watch/sm40925387
[107] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[89] https://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[83] http://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[81] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[70] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/no-cost.html
[63] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11405-covid19-999.html
[49] http://ncov.mohw.go.kr/bdBoardList_Real.do
[45] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-childcare-guidance.html

Top URLs in Tweet in G1:
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[4] https://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[3] https://twitter.com/BrainlessMonkez/status/1558549221271273473?s=20&t=b04fXOO7Fym3QNoKoECJ3A
[2] https://www.youtube.com/watch?app=desktop&v=qnflErqBi40
[2] https://twitter.com/_2019_nCoV/status/1559132431499857920?s=20
[2] https://pgibertie.com/2022/08/15/un-traitement-miracle-a-sauve-tous-les-patients-traites-ils-allaient-mourir-etouffes/#Pfizer
[2] https://m.vk.com/video494925829_456239023
[2] https://www.youtube.com/watch?v=3AyXuu1Na_A&feature=youtu.be

[2] https://www.youtube.com/watch?v=J-FM_USI-P8

[2] https://twitter.com/rretraite/status/1558831954115559426

Top URLs in Tweet in G2:
[11] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-childcare-guidance.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-childcare-guidance.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcommunity%2Fschools-childcare%2Fk-12-guidance.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/whats-new-all.html
[4] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days
[4] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html

Top URLs in Tweet in G3:
[343] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[341] https://www.nicovideo.jp/watch/sm40925387
[30] https://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] http://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://web.archive.org/web/20220722225556/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://www.cov19-vaccine.mhlw.go.jp/qa/0008.html

Top URLs in Tweet in G4:
[3] https://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://www.google.ca/url?sa=t&source=web&rct=j&url=https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-myocarditis-pericarditis-vaccines-epi.pdf%3Fsc_lang%3Den&ved=2ahUKEwimsdfR7sv5AhU2l4kEHbNUAbgQFnoECA0QAQ&usg=AOvVaw3Q58cPIVQYv71LKIqUJU_x
[1] https://www.youtube.com/watch?v=ekTR0w2M9-U&feature=youtu.be

[1] https://www.youtube.com/watch?v=XlGXFRs4ZOA&feature=youtu.be

[1] https://www.google.ca/url?sa=t&source=web&rct=j&url=https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-myocarditis-pericarditis-vaccines-epi.pdf%3Fsc_lang%3Den&ved=2ahUKEwjkoqzl0sv5AhWzq4kEHeE2C98QFnoECAUQAQ&usg=AOvVaw3Q58cPIVQYv71LKIqUJU_x
[1] https://childrenshealthdefense.org/defender/pfizer-covid-vaccine-myocarditis-teens-study/
[1] https://www.preprints.org/manuscript/202208.0151/v1
[1] http://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://www.nejm.org/doi/full/10.1056/nejmoa2001017?cookieSet=1

Top URLs in Tweet in G5:
[32] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[14] http://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[9] https://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[6] http://ncov.mohw.go.kr
[6] https://www.itots.online/
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-childcare-guidance.html
[5] https://www.city.matsudo.chiba.jp/matfd/oshirase/ncov.html

Top URLs in Tweet in G6:
[69] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/no-cost.html
[1] https://www.traviscountytx.gov/40KYourWay
[1] https://www.vaccines.gov/search/
[1] https://www.cdc.gov/coronavirus/2019-ncov/variants/about-variants.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html

Top URLs in Tweet in G7:
[4] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?sc_lang=en
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://nextstrain.org/ncov/gisaid/global/6m
[2] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?la=en
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://web.archive.org/web/20201217003708/https://www.publichealthontario.ca/-/media/documents/ncov/research/2020/12/synopsis-ioannidis-studies-covid-19-infection-fatality-rates.pdf?la=en
[1] https://twitter.com/GidMK/status/1316511734115385344
[1] https://twitter.com/AdamJKucharski/status/1376134278359171075
[1] https://rapidreviewscovid19.mitpress.mit.edu/pub/p6tto8hl/release/1
[1] https://twitter.com/GidMK/status/1498123572316807168

Top URLs in Tweet in G8:
[17] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220805_teireikaiken.html
[4] https://www.city.yuki.lg.jp/sp/page/page006541.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html
[1] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html

Top URLs in Tweet in G9:
[3] https://twitter.com/lnsiderDonbass/status/1558916981214117890?t=KwDGGCJ7vTE9j4sS6QsBMQ&s=19
[3] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://twitter.com/ChanalVincent/status/1558879008305156098?t=NkkJwDuoClVC9n9mwvaHgQ&s=19
[1] https://www.marmiton.org/recettes/recette_quiche-lorraine_30283.aspx
[1] https://www.marmiton.org/recettes/recette_epinards-a-la-creme_25184.aspx
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-childcare-guidance.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/testing/self-testing.html

Top URLs in Tweet in G10:
[3] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top Domains
Top Domains in Tweet in Entire Graph:
[1228] cdc.gov
[341] nicovideo.jp
[227] lg.jp
[211] archive.org
[111] twitter.com
[100] go.jp
[86] go.kr
[77] recombinomics.co
[51] ibaraki.jp
[42] gob.es

Top Domains in Tweet in G1:
[58] twitter.com
[15] youtube.com
[6] reseauinternational.net
[5] threadreaderapp.com
[5] cdc.gov
[5] crashdebug.fr
[4] archive.org
[3] wikipedia.org
[3] vk.com
[2] un.org

Top Domains in Tweet in G2:
[94] cdc.gov
[3] archive.org
[2] twitter.com
[2] nj.gov
[1] socialworkers.org
[1] thelocal.fr
[1] pakeys.org

Top Domains in Tweet in G3:
[343] cdc.gov
[341] nicovideo.jp
[32] archive.org
[1] go.jp

Top Domains in Tweet in G4:
[4] archive.org
[4] cdc.gov
[2] google.ca
[2] youtube.com
[1] childrenshealthdefense.org
[1] preprints.org
[1] nejm.org
[1] twitter.com

Top Domains in Tweet in G5:
[146] cdc.gov
[25] archive.org
[19] go.kr
[18] ibaraki.jp
[12] twitter.com
[10] lg.jp
[9] go.jp
[6] chiba.jp
[6] itots.online
[4] scholarsportal.info

Top Domains in Tweet in G6:
[71] cdc.gov
[1] traviscountytx.gov
[1] vaccines.gov

Top Domains in Tweet in G7:
[13] cdc.gov
[7] publichealthontario.ca
[4] twitter.com
[2] nextstrain.org
[2] bmj.com
[1] archive.org
[1] mit.edu
[1] nejm.org
[1] who.int
[1] hopkinsmedicine.org

Top Domains in Tweet in G8:
[32] ibaraki.jp
[4] lg.jp

Top Domains in Tweet in G9:
[14] cdc.gov
[4] twitter.com
[2] marmiton.org

Top Domains in Tweet in G10:
[3] minsal.cl

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[443] covid19
[317] 新型コロナウイルス感染症情報
[149] covid_19
[69] covid19vaccines
[62] cdc
[34] coronavirus
[19] mrna
[18] covid
[18] spike
[13] 코로나19



Top Hashtags in Tweet in G1:
[10] covid_19
[6] anneheche
[5] trump
[5] graphène
[4] fbi
[4] cia
[3] pfizer
[3] kalergi
[3] zaporijia
[3] swat

Top Hashtags in Tweet in G2:
[303] covid19
[13] covid
[5] dyk
[3] azchow
[3] cdc
[3] asthma
[2] mrna
[2] spikeprotein
[2] backtoschool
[2] thisisourshot

Top Hashtags in Tweet in G5:
[24] covid19
[9] cdc
[6] 공공데이터
[5] medicaldata
[5] publicdata
[5] 의료공공
[4] 의정부시청
[4] 안전안내문자
[4] 재난문자
[3] ivax2protect

Top Hashtags in Tweet in G6:
[69] covid19vaccines
[2] covid19
[1] 40kyourway

Top Hashtags in Tweet in G7:
[2] covidiot

Top Hashtags in Tweet in G8:
[314] 新型コロナウイルス感染症情報
[6] 新型コロナウイルス
[6] 結城市

Top Hashtags in Tweet in G9:
[13] covid19

Top Hashtags in Tweet in G10:
[135] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[1865] _2019_ncov
[1409] website
[1370] cdcgov
[1357] removed
[1318] cdc
[1164] information
[1092] quietly
[1082] statement
[1037] following
[1023] deleting

Top Words in Tweet in G1:
[1321] _2019_ncov
[202] sitting_bull_d
[190] yvespdb
[161] verity_france
[153] 55bellechasse
[144] ce
[144] c'est
[137] rrrrgerard
[134] jeanyvescapo
[122] didiermaisto

Top Words in Tweet in G2:
[1316] cdcgov
[980] repthomasmassie
[971] information
[969] website
[968] removed
[967] quietly
[967] statement
[966] deleting
[966] misleading
[966] following

Top Words in Tweet in G3:
[341] cdcが
[341] スパイクタンパクは短期間で消える
[341] の記述を公式ページから削除
[341] 長期間残るを認めたか
[341] 変更されたcdcのページ
[341] 二つ目の青い部分が短くなっている
[340] 80syaku
[43] cdc
[30] 2022年7月21日
[30] mrnaとs蛋白質は

Top Words in Tweet in G4:
[332] website
[332] removed
[327] cdc
[320] update
[319] made
[319] significant
[319] important
[319] claim
[319] extent
[319] product

Top Words in Tweet in G5:
[125] covid
[115] 19
[72] cdc
[36] ncov
[34] more
[31] vaccine
[30] 2022
[29] vaccines
[26] learn
[24] #covid19

Top Words in Tweet in G6:
[233] auspublichealth
[167] cdc
[138] free
[96] covid
[96] 19
[96] booster
[95] vaccines
[95] shot
[95] protection
[94] including

Top Words in Tweet in G7:
[15] shallit43
[11] covid
[10] 11
[10] claim
[10] masks
[10] work
[10] help
[10] stop
[10] spread
[10] haven't

Top Words in Tweet in G8:
[320] co
[314] #新型コロナウイルス感染症情報
[314] 本日の新規陽性者数
[314] 現在の入院者数
[314] うち重症者
[314] 本日の死亡者
[314] 本日の退院
[314] 退所等者数
[314] 詳細
[308] ibaraki_kouhou

Top Words in Tweet in G9:
[196] _2019_ncov
[116] lnsiderdonbass
[95] lupsenemp4
[94] bruddaapanda
[58] covid
[58] cdc
[56] still
[55] recommending
[54] over
[54] fact

Top Words in Tweet in G10:
[270] casos
[135] informe
[135] diario
[135] #covid_19
[135] agosto
[135] nuevos
[135] activos
[135] fallecidos
[135] registrados
[132] ministeriosalud

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1023] quietly,deleting
[1009] deleting,misleading
[1007] website,following
[1007] following,statement
[1007] statement,removed
[1003] misleading,information
[1002] information,website
[994] cdcgov,quietly
[991] repthomasmassie,cdcgov
[989] removed,thei

Top Word Pairs in Tweet in G1:
[108] alainhoupert,jeanyvescapo
[107] jeanyvescapo,tvlcampagnol
[106] basphilippe,yvespdb
[102] rrrrgerard,55bellechasse
[102] 55bellechasse,basphilippe
[99] tvlcampagnol,verity_france
[95] yvespdb,alainhoupert
[93] sitting_bull_d,rrrrgerard
[90] francoisboulo,brunobertez
[90] brunobertez,anicelajnef

Top Word Pairs in Tweet in G2:
[968] repthomasmassie,cdcgov
[967] cdcgov,quietly
[966] quietly,deleting
[966] deleting,misleading
[966] misleading,information
[966] information,website
[966] website,following
[966] following,statement
[966] statement,removed
[965] removed,thei

Top Word Pairs in Tweet in G3:
[341] cdcが,スパイクタンパクは短期間で消える
[341] スパイクタンパクは短期間で消える,の記述を公式ページから削除
[341] の記述を公式ページから削除,長期間残るを認めたか
[341] 長期間残るを認めたか,変更されたcdcのページ
[341] 変更されたcdcのページ,二つ目の青い部分が短くなっている
[340] 80syaku,cdcが
[30] cdc,2022年7月21日
[30] 2022年7月21日,mrnaとs蛋白質は
[30] mrnaとs蛋白質は,体内では長持ちしません
[30] 体内では長持ちしません,私たちの細胞は

Top Word Pairs in Tweet in G4:
[320] website,removed
[319] cdc,made
[319] made,significant
[319] significant,update
[319] update,website
[319] removed,important
[319] important,claim
[319] claim,extent
[319] extent,product
[318] lionadvocacy,cdc

Top Word Pairs in Tweet in G5:
[99] covid,19
[21] learn,more
[15] 19,vaccines
[14] sars,cov
[13] 2019,ncov
[12] 2022,08
[12] 19,vaccine
[11] chadox1,ncov
[11] ncov,19
[10] protect,yourself

Top Word Pairs in Tweet in G6:
[96] covid,19
[95] booster,shot
[94] shot,vaccines
[94] vaccines,including
[94] including,covid
[94] 19,vaccine
[94] vaccine,protection
[94] protection,wear
[94] wear,over
[94] over,time

Top Word Pairs in Tweet in G7:
[10] 11,claim
[10] claim,masks
[10] masks,work
[10] work,help
[10] help,stop
[10] stop,spread
[10] spread,covid
[10] covid,haven't
[10] haven't,read
[10] read,dozen

Top Word Pairs in Tweet in G8:
[314] 本日の退院,退所等者数
[314] 詳細,co
[308] ibaraki_kouhou,#新型コロナウイルス感染症情報
[231] co,qnzux8t4
[139] うち重症者,6名
[139] 6名,本日の死亡者
[89] 本日の死亡者,2名
[89] 2名,本日の退院
[84] #新型コロナウイルス感染症情報,8月16日
[84] 8月16日,本日の新規陽性者数

Top Word Pairs in Tweet in G9:
[68] bruddaapanda,_2019_ncov
[63] lnsiderdonbass,_2019_ncov
[54] still,over
[54] over,fact
[54] fact,instead
[54] instead,recommending
[54] recommending,mask
[54] mask,requirements
[54] requirements,covid
[54] covid,spread

Top Word Pairs in Tweet in G10:
[135] informe,diario
[135] diario,#covid_19
[135] casos,nuevos
[135] casos,activos
[135] fallecidos,registrados
[132] ministeriosalud,informe
[70] nuevos,49
[68] registrados,59
[67] #covid_19,15
[67] 15,agosto

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@lupsenemp4
@lnsiderdonbass
@_lice40
@fvfhtdpetmgold7
@francoisboulo
@bruddaapanda
@thevenonpierri1
@sitting_bull_d
@soizicleborgne

Top Replied-To in G1:
@_2019_ncov
@francoisboulo
@sitting_bull_d
@lupsenemp4
@yvespdb
@soizicleborgne
@vpauline006
@crashdebug_fr
@lucilefievet
@verity_france

Top Replied-To in G2:
@repthomasmassie
@necs
@repmtg
@cdcgov
@adamkinzinger
@stevenr96214588
@jreinermd
@dhscgovuk
@mandatemasksny
@beachboxermom

Top Replied-To in G4:
@richardgmoney
@four_craig
@himalayajapan
@buenrolloreturn
@jillneimark

Top Replied-To in G7:
@blufreezy
@need_inputjp
@albertbourla
@andrew_voisin
@dalmane15
@bradlitz2
@uscopus
@babymammoth_0
@shallit43
@grumnutt

Top Replied-To in G9:
@lupsenemp4
@lnsiderdonbass
@bruddaapanda
@_2019_ncov
@lucie_tc38
@redthebot_
@jonrappoport
@janejac10005743
@censored4sure
@novakgoatovic

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@repthomasmassie
@_2019_ncov
@80syaku
@lionadvocacy
@ibaraki_kouhou
@auspublichealth
@sitting_bull_d
@yvespdb
@verity_france

Top Mentioned in G1:
@_2019_ncov
@sitting_bull_d
@yvespdb
@verity_france
@55bellechasse
@jeanyvescapo
@rrrrgerard
@didiermaisto
@basphilippe
@bugaultv

Top Mentioned in G2:
@cdcgov
@repthomasmassie
@alexander_tin
@nycschools
@mandatemasksny
@necs
@adamkinzinger
@njdeptofhealth
@queens_parents
@mandatemasksus

Top Mentioned in G3:
@80syaku
@mt9jyo
@pasdhypocrisie

Top Mentioned in G4:
@lionadvocacy
@repthomasmassie
@cdcgov
@isrusan
@denholisticmama
@alexberenson
@bigdavetsv
@generali11

Top Mentioned in G5:
@drml350phd
@mama_melaleuca
@clubfmphilly
@spacemakerklab
@elizabethhopk14

Top Mentioned in G6:
@auspublichealth
@cdcgov

Top Mentioned in G7:
@shallit43
@msabouri
@theinkedgamer
@wolfstrength
@albertbourla
@takethatct
@burgerlab12
@real_seeking
@pavlospavlova
@judysimpson222

Top Mentioned in G8:
@ibaraki_kouhou
@tsukubais
@yuki_city
@kitaibarakicity

Top Mentioned in G9:
@_2019_ncov
@bruddaapanda
@luckytran
@lnsiderdonbass
@kremlinrussia
@kremlinrussia_e
@lupsenemp4
@cdcemergency
@cdcgov
@potus

Top Mentioned in G10:
@ministeriosalud

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@threadreaderapp
@oldlady12345
@dichristine
@ecodaren
@republikaonline
@matiere
@british_airways
@m2bliquis
@citrus_kyoto

Top Tweeters in G1:
@threadreaderapp
@m2bliquis
@radiolondres6
@bfmtv
@nausicalibre
@yvespdb
@le_parisien
@talullabellefle
@barberis888
@ouestfrance

Top Tweeters in G2:
@sddphoto
@menabster
@dancas2
@muzikscribe
@navroopsingh_
@lorettabower3
@tyberzannxxxx
@bad_woof
@underyourtree
@losemarrp

Top Tweeters in G3:
@mogura_ossan
@ponyoponyossyi
@hermitage7331
@eilxyst4l71uski
@william85837998
@terakoya3
@amuamu032
@gemini_stop
@tro_breiz
@markmini32

Top Tweeters in G4:
@lawyer4laws
@vickib501
@gym2lift
@nikster007
@defiliisauriae
@scottgrovesco
@domii_torello
@allymrowe
@thedave2006
@swsandy_

Top Tweeters in G5:
@republikaonline
@matiere
@personalfitnes3
@ragequit94
@didaclopez
@agargmd
@dai7707
@leonemaschio
@lynnlynn1
@clubfmphilly

Top Tweeters in G6:
@oldlady12345
@dichristine
@lehimesa
@netminnow
@lllwry
@aquarius1049
@memeburk
@mcnejames
@carollarue
@nihaustin

Top Tweeters in G7:
@joannecangal
@kuins
@ghostcatbce
@paulwiggins
@ap
@mustangmadd
@gnomeicide
@thetorontosun
@takethatct
@alex_on_a14

Top Tweeters in G8:
@shintochigi1
@tsuka_kazunee
@shirayukihime_p
@sgr_kn
@dummyxtweet
@takeyo
@find_hinako
@kazubachev
@find_nakata
@beer_prius

Top Tweeters in G9:
@godandthebear
@vaw511
@katydogcrazy
@scott_squires
@susanchubb1
@psychwriter1515
@martindvz
@greg_sideyr
@teambernie27001
@skry

Top Tweeters in G10:
@dragontauro
@gonzaloxrojas
@mgarcia318
@chidalgo
@pablolabarcac
@cfa_30
@radionuble
@elmejoredux
@marceloleiva
@giuzelconz


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