NCoV, Twitter, 12/1/2021 7:02:42 PM, 267327


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NCoV_2021-12-01_01-36-01.xlsx
NCoV_2021-12-01_01-36-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 01, 2021
Short Description:
NCoV via NodeXL https://bit.ly/3GaVp6N
@cdcgov
@jaidsenmoni
@pingue7
@niigata_u_ped
@nextstrain
@bar1star
@cdcdirector
@west_looper
@who
@invesdoctor

Top hashtags:
#covid19
#新型コロナウイルス
#omicronvariant
#covid
#더안전한_더나은일상
#우리에게다시
#covid_19
#pediatricians
#omicron

Description:
Description
The graph represents a network of 8,014 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 Wednesday, 01 December 2021 at 09:52 UTC.

The requested start date was Wednesday, 01 December 2021 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, 8-hour, 56-minute period from Sunday, 28 November 2021 at 03:29 UTC to Tuesday, 30 November 2021 at 12:26 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 : 8014
Unique Edges : 4495
Edges With Duplicates : 11997
Total Edges : 16492
Number of Edge Types : 5
Retweet : 5082
MentionsInRetweet : 6366
Replies to : 1674
Mentions : 2489
Tweet : 881
Self-Loops : 908
Reciprocated Vertex Pair Ratio : 0.0196939005176682
Reciprocated Edge Ratio : 0.0386270831034102
Connected Components : 927
Single-Vertex Connected Components : 304
Maximum Vertices in a Connected Component : 4057
Maximum Edges in a Connected Component : 9340
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.951987
Graph Density : 0.000141101506159304
Modularity : 0.535748
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,014 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 Wednesday, 01 December 2021 at 09:52 UTC.

The requested start date was Wednesday, 01 December 2021 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, 8-hour, 56-minute period from Sunday, 28 November 2021 at 03:29 UTC to Tuesday, 30 November 2021 at 12:26 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:
[320] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[267] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[164] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[130] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[113] https://covariants.org/
[93] https://nextstrain.org/groups/neherlab/ncov/21K.Omicron?r=country
[77] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[72] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-surveillance.html
[61] https://nextstrain.org/ncov/gisaid/global
[58] https://nextstrain.org/ncov/gisaid/africa

Top URLs in Tweet in G1:
[11] https://nextstrain.org/ncov/gisaid/global
[4] https://twitter.com/crepin_sylvain/status/1458538272943132675?t=h_pOomaTmdX3a1uD4EeFQw&s=19
[3] https://twitter.com/crepin_sylvain/status/1464194082926956546?t=UnhPg_eU-GgoQnCCYs4P9w&s=19
[3] https://www.fda.gov/media/134922/download
[3] https://www.mesopinions.com/petition/sante/enquete-senatoriale-effets-secondaires-differents-vaccins/161345?source=twitter
[3] https://odysee.com/@FlowerPower:b/Dr-Carrie-Madej--Contenus-d'injections-vus-au-microscope-x-400:6
[3] https://planetes360.fr/vaccin-le-docteur-franc-zalewski-fait-une-revelation-choquante-une-nouvelle-etrangete-observee-au-microscope-dans-le-vaccin-pfizer/
[2] https://pubmed.ncbi.nlm.nih.gov/33961695/
[2] https://pgibertie.com/2021/11/29/l-afrique-non-vaccinee-vous-salue-bien-la-covid-elle-connait-pas/
[2] https://fr.sott.net/article/38703-Le-docteur-Rochagne-Kilian-lance-l-alerte-sur-les-D-dimeres-eleves-associes-aux-injections-anti-Covid-19

Top URLs in Tweet in G2:
[17] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/testing/self-testing.html
[3] covid
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/interactive-ventilation-tool.html
[2] https://www.vaccines.gov/
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html#:~:text=Everyone%20Ages%2018%20and%20Older%20Can%20Get%20a%20Booster%20Shot&text=You%20should%20get%20a%20booster,a%20long%2Dterm%20care%20setting
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html?s_cid=11706:cdc

Top URLs in Tweet in G3:
[50] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[10] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[1] https://twitter.com/carpe_diem0820/status/1461828432279527425
[1] https://twitter.com/MIHO75232025/status/1464939846661591041
[1] https://twitter.com/hanakihideaki/status/1464779915673276417
[1] https://twitter.com/ykamegame/status/1464727092646801411

Top URLs in Tweet in G4:
[55] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[24] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/certificat-covid-digital-ue/
[13] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[11] https://nextstrain.org/ncov/gisaid/global
[9] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[8] https://lamevasalut.gencat.cat/web/cps/welcome
[6] https://systems.jhu.edu/research/public-health/ncov/
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html#Know
[4] https://www.vaccines.gov/

Top URLs in Tweet in G5:
[112] https://covariants.org/
[92] https://nextstrain.org/groups/neherlab/ncov/21K.Omicron?r=country
[50] https://nextstrain.org/ncov/gisaid/africa
[21] https://nextstrain.org/groups/neherlab/ncov/21K
[4] https://www.news-medical.net/news/20211128/Identifying-the-spread-of-novel-B11523-SARS-CoV-2.aspx
[3] https://nextstrain.org/groups/neherlab/ncov/21K-diversity
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[3] https://nextstrain.org/ncov/gisaid/africa?l=scatter&scatterY=S1_mutations
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[1] https://nextstrain.org/groups/neherlab/ncov/21K-diversity?f_country=Netherlands&tl=country

Top URLs in Tweet in G6:
[29] https://www.cdc.gov/coronavirus/2019-ncov/variants/cdc-role-surveillance.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-surveillance.html
[1] https://archive.md/2021.11.28-021624/https://twitter.com/JulieThoren/status/1464689767749148681
[1] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/?fbclid=IwAR1QWt4wTVNGHTsz7afcKh3OwdxR2KkZh5heMipXrifybxlOCbfnqKm8N0k
[1] https://www.aemps.gob.es/la-aemps/ultima-informacion-de-la-aemps-acerca-del-covid%E2%80%9119/vacunas-contra-la-covid%E2%80%9119/desarrollo-de-vacunas/
[1] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html
[1] https://espanol.coronaviruspreventionnetwork.org/estudios-clinicos
[1] https://www.mskcc.org/es/coronavirus/what-you-should-know-about-covid-19-vaccines

Top URLs in Tweet in G7:
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[1] https://nextstrain.org/ncov/gisaid/africa
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html?utm_source=twitter&utm_medium=645ecd1f-103a-42b2-a98d-995b78bbf018
[1] https://vaccine.gov/
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-guidance.html
[1] https://twitter.com/FaceTheNation/status/1464992740626870275
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?sc_lang=en
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en

Top URLs in Tweet in G8:
[22] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html
[4] https://niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[1] https://twitter.com/koichi_kawakami/status/1438867089503100928
[1] https://www.medrxiv.org/content/10.1101/2021.08.04.21261609v1

Top URLs in Tweet in G9:
[314] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html

Top URLs in Tweet in G10:
[79] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[12] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[5] http://adrreports.eu/en/search_subst.html#
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top Domains
Top Domains in Tweet in Entire Graph:
[980] cdc.gov
[466] go.jp
[323] nextstrain.org
[320] ibaraki.jp
[208] lg.jp
[162] gob.es
[121] covariants.org
[97] twitter.com
[89] recombinomics.co
[80] go.kr

Top Domains in Tweet in G1:
[35] twitter.com
[14] nextstrain.org
[6] youtube.com
[5] odysee.com
[4] pgibertie.com
[3] nih.gov
[3] fda.gov
[3] mesopinions.com
[3] planetes360.fr
[2] ampproject.org

Top Domains in Tweet in G2:
[71] cdc.gov
[4] twitter.com
[2] vaccines.gov
[1] buff.ly
[1] cvs.com
[1] walgreens.com
[1] publix.com
[1] winndixie.com
[1] walmart.com
[1] ncdhhs.gov

Top Domains in Tweet in G3:
[52] cdc.gov
[14] go.jp
[4] twitter.com

Top Domains in Tweet in G4:
[97] cdc.gov
[88] go.jp
[36] gencat.cat
[27] nextstrain.org
[22] gob.es
[15] twitter.com
[13] ne.jp
[9] who.int
[7] go.kr
[6] lg.jp

Top Domains in Tweet in G5:
[174] nextstrain.org
[112] covariants.org
[4] twitter.com
[4] cdc.gov
[4] news-medical.net
[3] go.jp
[3] gob.ar
[1] bedford.io
[1] ucsc.edu
[1] who.int

Top Domains in Tweet in G6:
[33] cdc.gov
[1] archive.md
[1] thewashingtonstandard.com
[1] gob.es
[1] coronaviruspreventionnetwork.org
[1] mskcc.org

Top Domains in Tweet in G7:
[14] cdc.gov
[2] publichealthontario.ca
[1] nextstrain.org
[1] vaccine.gov
[1] twitter.com
[1] go.jp
[1] internationalsos.com

Top Domains in Tweet in G8:
[27] go.jp
[1] twitter.com
[1] medrxiv.org

Top Domains in Tweet in G9:
[314] ibaraki.jp

Top Domains in Tweet in G10:
[91] go.jp
[5] adrreports.eu
[1] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1184] covid19
[315] 新型コロナウイルス
[55] omicronvariant
[50] covid
[48] 더안전한_더나은일상
[48] 우리에게다시
[45] covid_19
[41] pediatricians
[35] omicron
[31] coronavirus



Top Hashtags in Tweet in G1:
[11] proctolib
[7] rhume19
[7] grippe19
[7] stopfakenewstv
[6] mafiosi
[5] passsanitaire
[4] omicron
[4] manifs27novembre
[3] guadeloupe
[3] 3emedose

Top Hashtags in Tweet in G2:
[754] covid19
[37] pediatricians
[3] varianteomicron
[3] cdc
[2] boostershots
[2] mrna
[2] vaccines
[2] vaccine
[2] medicalmonday
[2] didyouknow

Top Hashtags in Tweet in G4:
[22] covid19
[7] coronavirus
[5] sarscov2
[5] cdc
[5] covid
[5] omicron
[4] omicronvariant
[3] delta
[3] certificatcovid
[2] travel

Top Hashtags in Tweet in G5:
[6] bo
[4] sars
[4] sarscov2
[4] coronavirus
[4] covid
[4] ncov
[2] b11523
[2] e484k
[2] s494p
[2] spikeprotein

Top Hashtags in Tweet in G7:
[235] covid19
[36] omicronvariant
[2] pediatricians

Top Hashtags in Tweet in G8:
[2] 空港検疫をpcrに戻して下さい
[2] オミクロンを日本にいれるな

Top Hashtags in Tweet in G9:
[314] 新型コロナウイルス
[4] いばらきアマビエちゃん
[3] 茨城県

Top Words
Top Words in Tweet in Entire Graph:
[1184] #covid19
[1150] booster
[1109] vaccine
[990] cdc
[914] covid
[909] gino_2019_ncov
[820] cdcgov
[799] older
[776] everyone
[748] 0名

Top Words in Tweet in G1:
[907] gino_2019_ncov
[194] ce
[137] c'est
[124] ils
[115] sont
[104] ça
[96] plus
[93] ah
[84] mais
[80] ces

Top Words in Tweet in G2:
[810] booster
[771] cdcgov
[754] #covid19
[701] vaccine
[533] ages
[529] older
[511] everyone
[405] 18
[394] recommendation
[375] cdc

Top Words in Tweet in G3:
[431] オミクロンだろうが何だろうが
[431] コロナにかかる確率を減らす方策は
[431] ワクチン
[431] マスク
[431] 密を避ける
[431] 換気
[431] 手指衛生
[431] 体調悪い時に人と会わない
[431] 体調悪い人と会わない
[431] です

Top Words in Tweet in G4:
[126] covid
[91] 19
[60] cov
[57] sars
[43] 529系統
[43] オミクロン株
[43] 2の変異株b
[40] について
[40] 第2報
[36] ncov

Top Words in Tweet in G5:
[175] nextstrain
[166] 21k
[155] omicron
[148] trvrb
[142] mutations
[141] s1
[130] focal
[130] build
[125] firefoxx66
[94] includes

Top Words in Tweet in G6:
[240] work
[240] lab
[240] labs
[238] juliethoren
[214] timrunshismouth
[213] majority
[213] testing
[213] sars
[213] cov
[213] zero

Top Words in Tweet in G7:
[235] #covid19
[228] cdcdirector
[227] booster
[219] older
[212] everyone
[209] recommendation
[208] cdc
[207] 18
[203] shot
[195] updating

Top Words in Tweet in G8:
[221] koichi_kawakami
[198] オミクロン株に嘆息
[198] スパイク蛋白質に32か所の変異
[198] mrnaワクチンも既存の抗原検査試薬も全て無にしかねないほど強烈
[198] ワクチン接種
[198] 経済再開のシナリオを嘲笑うかのよう
[198] 検査
[198] 保護
[198] 経済再開
[198] へ転換を

Top Words in Tweet in G9:
[746] 0名
[314] #新型コロナウイルス
[311] 感染症情報
[311] 本日の新規陽性者数
[311] 本日の退院等回復者数
[311] 1名
[311] 現在の入院者数
[311] うち重症者数
[311] 詳しくはこちらをご覧ください
[307] ibaraki_kouhou

Top Words in Tweet in G10:
[152] オミクロン株
[105] sars
[105] cov
[105] 2の変異株b
[103] 529系統
[70] sukunabikona7
[70] 国立感染研よりオミクロン株について第2報
[70] 各国の症例についての経緯や
[70] sgtfなどオミクロン株の特徴についても細かく記載されている
[53] について

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[604] #covid19,vaccine
[588] older,booster
[571] recommendation,#covid19
[555] everyone,ages
[495] sars,cov
[443] オミクロンだろうが何だろうが,コロナにかかる確率を減らす方策は
[443] コロナにかかる確率を減らす方策は,ワクチン
[443] ワクチン,マスク
[443] マスク,密を避ける
[443] 密を避ける,換気

Top Word Pairs in Tweet in G1:
[43] ah,ah
[33] davidpujadas,martinblachier
[25] cette,année
[24] gino_2019_ncov,ça
[23] gino_2019_ncov,lrestistant73
[23] gino_2019_ncov,davidpujadas
[22] joueurs,décédés
[22] décédés,mort
[22] mort,subite
[22] subite,regardez

Top Word Pairs in Tweet in G2:
[542] #covid19,vaccine
[504] everyone,ages
[398] ages,18
[370] 18,older
[370] older,booster
[360] vaccine,booster
[358] booster,doses
[357] cdcgov,cdc
[357] cdc,strengthening
[357] strengthening,recommendation

Top Word Pairs in Tweet in G3:
[431] オミクロンだろうが何だろうが,コロナにかかる確率を減らす方策は
[431] コロナにかかる確率を減らす方策は,ワクチン
[431] ワクチン,マスク
[431] マスク,密を避ける
[431] 密を避ける,換気
[431] 換気,手指衛生
[431] 手指衛生,体調悪い時に人と会わない
[431] 体調悪い時に人と会わない,体調悪い人と会わない
[431] 体調悪い人と会わない,です
[431] です,特別な何かがあるわけでもなく

Top Word Pairs in Tweet in G4:
[74] covid,19
[57] sars,cov
[43] cov,2の変異株b
[42] 529系統,オミクロン株
[40] オミクロン株,について
[39] 2の変異株b,529系統
[37] について,第2報
[32] certificat,covid
[21] learn,more
[14] divendres,desembre

Top Word Pairs in Tweet in G5:
[141] 21k,omicron
[130] focal,build
[112] firefoxx66,nextstrain
[112] nextstrain,focal
[112] build,21k
[92] omicron,includes
[71] s1,mutations
[70] see,striking
[70] striking,accumulation
[70] accumulation,mutations

Top Word Pairs in Tweet in G6:
[240] work,lab
[213] timrunshismouth,work
[213] lab,majority
[213] majority,labs
[213] labs,testing
[213] testing,sars
[213] sars,cov
[213] cov,zero
[213] zero,capability
[213] capability,telling

Top Word Pairs in Tweet in G7:
[207] recommendation,#covid19
[207] older,booster
[203] booster,shot
[195] cdc,updating
[195] updating,recommendation
[195] #covid19,vaccinations
[195] vaccinations,everyone
[195] everyone,18
[195] 18,yrs
[195] yrs,older

Top Word Pairs in Tweet in G8:
[198] オミクロン株に嘆息,スパイク蛋白質に32か所の変異
[198] スパイク蛋白質に32か所の変異,mrnaワクチンも既存の抗原検査試薬も全て無にしかねないほど強烈
[198] mrnaワクチンも既存の抗原検査試薬も全て無にしかねないほど強烈,ワクチン接種
[198] ワクチン接種,経済再開のシナリオを嘲笑うかのよう
[198] 経済再開のシナリオを嘲笑うかのよう,検査
[198] 検査,保護
[198] 保護,経済再開
[198] 経済再開,へ転換を
[197] koichi_kawakami,オミクロン株に嘆息
[197] へ転換を,#空港検疫をpcrに戻して

Top Word Pairs in Tweet in G9:
[311] #新型コロナウイルス,感染症情報
[311] うち重症者数,0名
[311] 0名,詳しくはこちらをご覧ください
[308] 本日の新規陽性者数,0名
[308] 0名,本日の退院等回復者数
[307] ibaraki_kouhou,#新型コロナウイルス
[222] 本日の退院等回復者数,1名
[222] 1名,現在の入院者数
[124] 感染症情報,11月30日
[124] 11月30日,本日の新規陽性者数

Top Word Pairs in Tweet in G10:
[105] sars,cov
[105] cov,2の変異株b
[103] 2の変異株b,529系統
[103] 529系統,オミクロン株
[70] 国立感染研よりオミクロン株について第2報,各国の症例についての経緯や
[70] 各国の症例についての経緯や,sgtfなどオミクロン株の特徴についても細かく記載されている
[69] sukunabikona7,国立感染研よりオミクロン株について第2報
[53] オミクロン株,について
[53] について,第2報
[51] 過去最も多様性があり,感染

Top Replied-To
Top Replied-To in Entire Graph:
@gino_2019_ncov
@pierrelagrange8
@crepin_sylvain
@aureliem0813
@addpourle
@jeansaisrie
@blue_ncov
@cyprienbryan
@nik0mi
@robertopara08

Top Replied-To in G1:
@gino_2019_ncov
@pierrelagrange8
@crepin_sylvain
@addpourle
@aureliem0813
@jeansaisrie
@cyprienbryan
@robertopara08
@nik0mi
@jeep68883442

Top Replied-To in G2:
@cdcgov
@pen_is_mighty
@pc_guerrero
@earthling2000s
@tielorarm
@bob_wachter
@i_r_schyster
@karlasaller

Top Replied-To in G4:
@byuoritter

Top Replied-To in G5:
@laduplessis
@epiellie
@medrxivpreprint
@kelly_k_77
@marxmanshipm
@karilake
@nextstrain

Top Replied-To in G6:
@susanstjames3_
@darrellbuckne13
@timrunshismouth
@drronevans1
@misterbumface
@kyleharmon21
@extranotipo

Top Replied-To in G7:
@jhowardbrainmd
@stephfarrel

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@bar1star
@gino_2019_ncov
@ibaraki_kouhou
@juliethoren
@cdcdirector
@koichi_kawakami
@timrunshismouth
@nextstrain
@derive_ip

Top Mentioned in G1:
@gino_2019_ncov
@louan07
@martinblachier
@davidpujadas
@lrestistant73
@el_dic_tator
@jaimehorta17
@medic4allhuman
@flobga

Top Mentioned in G2:
@cdcgov
@azdhs
@jhsph_chs
@nist
@alehsalcedo2
@pc_guerrero
@cdcenvironment
@ethelmaciel
@cvspharmacy
@huffmanlabdu

Top Mentioned in G3:
@bar1star
@tokophotoko
@carpe_diem0820
@ped_allergy
@naohat23
@invesdoctor
@jaidsenmoni
@sukunabikona7
@ryuseinagatomo1
@motoisuzuki

Top Mentioned in G4:
@haitatsuingoro
@spanienisverige
@assistgrup
@anastasiosdiko1
@7fuohma93ighpxl

Top Mentioned in G5:
@nextstrain
@trvrb
@firefoxx66
@corneliusroemer
@richardneher
@pangonetwork
@jorgeluisaliaga
@who
@arambaut
@rosactrl

Top Mentioned in G6:
@juliethoren
@timrunshismouth
@susanstjames3_
@lilenawight
@markmulder20
@oletros
@fernandocervera
@florianbenedikt
@elsegundoluz

Top Mentioned in G7:
@cdcdirector
@cdcgov
@margbrennan
@secmartywalsh
@seccardona
@dbelardomd
@corneliusroemer
@nickmmark
@cdc
@abundantlanduse

Top Mentioned in G8:
@koichi_kawakami

Top Mentioned in G9:
@ibaraki_kouhou
@koichi_kawakami

Top Mentioned in G10:
@sukunabikona7
@invesdoctor
@motoisuzuki
@universalsoftw2
@bar1star
@derive_ip
@doctoryoume
@kentaroonizuka
@k9fcr
@rough__genki

Top Tweeters
Top Tweeters in Entire Graph:
@thebookofginko
@missb62
@simanekomama
@threadreaderapp
@dichristine
@ecodaren
@manchan_sub_acc
@tradermarcocost
@rk70534
@matiere

Top Tweeters in G1:
@m2bliquis
@altai_armande
@thalassa2008
@chani_bayle
@bfmtv
@nausicalibre
@yvespdb
@a_meluzzi
@clobala2
@sandrafellous_

Top Tweeters in G2:
@rjber15
@flipthescript8
@amyayers16
@coronaupdatebot
@rebellegrrl
@alllwftopic
@walmart
@arcticfox_am_i
@frackhazreveal
@jairochl

Top Tweeters in G3:
@nyancow
@fusasippona
@face_star
@hakofuguf
@nancy_moon_1789
@hien_mizukiba
@otakutokkai
@seabat707
@808cyatumi
@kasshini_gnade

Top Tweeters in G4:
@matiere
@cordwainerscat
@personalfitnes3
@didaclopez
@peko409
@magepa
@haolethai
@jdignum
@maria_tachibana
@iinalab

Top Tweeters in G5:
@rk70534
@silvrib
@migneko
@elkehollings
@bassaces1
@forgerat
@e2dot7182818284
@ac_k_y
@monasmitte
@iridescentashes

Top Tweeters in G6:
@pixiedust5135
@colleenrasmuss
@asia742
@lnair123
@jjs92285
@beth0214skal
@stephiegal
@girlpainting
@landofree
@nancy47459

Top Tweeters in G7:
@kat4obama
@lizditz
@rosenchild
@jorge_c_ny
@eilonwy24
@passarelliallan
@terryg1979
@wtf_imtooold
@oldsoutherndem
@linda_lindylou

Top Tweeters in G8:
@simanekomama
@manchan_sub_acc
@tyajyo
@cao58020
@may_roma
@anon_chiz
@chiemma44
@saki8taku3
@mogura_ossan
@strasburg_37

Top Tweeters in G9:
@westinghouse565
@takakura1982
@dire2wk9
@noel_hasui
@tsuka_kazunee
@zyoushou
@to_ri3
@nyankolers
@sgr_kn
@over56_34

Top Tweeters in G10:
@keinishikawa3
@aki_panda_aki
@eimc3z
@akakiao
@kondohi
@rock8p698p
@love_toucan
@zion_ametista
@mammonepesci
@ds20wk


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