NCoV, Twitter, 11/30/2021 7:20:21 PM, 267272


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NCoV_2021-11-30_04-00-02.xlsx
NCoV_2021-11-30_04-00-02.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 30, 2021
Short Description:
NCoV via NodeXL https://bit.ly/31fDAUK
@nextstrain
@kylenabecker
@firefoxx66
@billybostickson
@plivestrong
@gino_2019_ncov
@jaidsenmoni
@templier07
@nariko_nikki
@bar1star

Top hashtags:
#covid19
#新型コロナウイルス
#더안전한_더나은일상
#우리에게다시
#greek
#covid_19
#omicron
#coronavirus

Description:
Description
The graph represents a network of 8,240 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 Tuesday, 30 November 2021 at 12:18 UTC.

The requested start date was Tuesday, 30 November 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 3-day, 16-hour, 44-minute period from Thursday, 25 November 2021 at 19:40 UTC to Monday, 29 November 2021 at 12:24 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 : 8240
Unique Edges : 5079
Edges With Duplicates : 12056
Total Edges : 17135
Number of Edge Types : 5
Retweet : 5005
MentionsInRetweet : 6754
Tweet : 867
Replies to : 1802
Mentions : 2707
Self-Loops : 906
Reciprocated Vertex Pair Ratio : 0.0193216423395989
Reciprocated Edge Ratio : 0.0379107860306995
Connected Components : 942
Single-Vertex Connected Components : 313
Maximum Vertices in a Connected Component : 5206
Maximum Edges in a Connected Component : 13308
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 8.260596
Graph Density : 0.000142982641167924
Modularity : 0.547757
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,240 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 Tuesday, 30 November 2021 at 12:18 UTC.

The requested start date was Tuesday, 30 November 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 3-day, 16-hour, 44-minute period from Thursday, 25 November 2021 at 19:40 UTC to Monday, 29 November 2021 at 12:24 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:
[272] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[240] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[138] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[132] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[116] https://covariants.org/
[90] https://nextstrain.org/groups/neherlab/ncov/21K.Omicron?r=country
[72] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-surveillance.html
[71] https://nextstrain.org/ncov/gisaid/africa
[68] http://ncov.mohw.go.kr/
[56] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html

Top URLs in Tweet in G1:
[5] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments
[4] https://twitter.com/crepin_sylvain/status/1458538272943132675?t=h_pOomaTmdX3a1uD4EeFQw&s=19
[4] https://twitter.com/PedroGo24233917/status/1463904593742643206?t=mD3tsHp7_ewj-ehJ8O_6JQ&s=19
[3] https://twitter.com/naphtalinelebon/status/1464391377895280642?s=21
[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/
[3] https://www.lesechos.fr/monde/asie-pacifique/covid-le-japon-a-mate-lepidemie-mais-refuse-de-rouvrir-ses-frontieres-1364927

Top URLs in Tweet in G2:
[48] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[3] 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://twitter.com/MIHO75232025/status/1464939846661591041
[1] https://twitter.com/hanakihideaki/status/1464779915673276417
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10757-covid19-61.html
[1] https://twitter.com/vaccinewatch/status/1463373501205602306

Top URLs in Tweet in G3:
[16] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html
[15] https://niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html
[3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/houshin1126.html
[2] 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
[1] https://twitter.com/keiki22/status/1437802833554771968
[1] https://twitter.com/norinotes/status/1465257616754417665
[1] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/moderu.files/20211124_moderu3_shuusei.pdf
[1] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/moderu.html

Top URLs in Tweet in G4:
[32] https://www.cdc.gov/coronavirus/2019-ncov/variants/cdc-role-surveillance.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-surveillance.html
[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 G5:
[116] https://covariants.org/
[89] https://nextstrain.org/groups/neherlab/ncov/21K.Omicron?r=country
[60] https://nextstrain.org/ncov/gisaid/africa
[28] https://nextstrain.org/groups/neherlab/ncov/21K
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[4] https://www.news-medical.net/news/20211128/Identifying-the-spread-of-novel-B11523-SARS-CoV-2.aspx
[3] https://nextstrain.org/ncov/gisaid/global
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10743-covid19-62.html
[2] https://nextstrain.org/ncov/gisaid/africa?d=tree,map,frequencies&f_clade_membership=21K%20%28Omicron%29&label=clade:21K%20%28Omicron%29&lang=es&p=full&transmissions=show
[1] https://github.com/nextstrain/ncov

Top URLs in Tweet in G6:
[14] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/interactive-ventilation-tool.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[4] https://nextstrain.org/ncov/gisaid/global?l=clock
[4] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/celebrations.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/testing/self-testing.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/hcp/respirator-use-faq.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/viralvector.html

Top URLs in Tweet in G7:
[48] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[21] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/certificat-covid-digital-ue/
[15] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[13] https://nextstrain.org/ncov/gisaid/global
[12] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures/22-octubre/
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[6] https://systems.jhu.edu/research/public-health/ncov/
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_509_COVID-19.pdf
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[4] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/

Top URLs in Tweet in G8:
[82] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[31] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[8] http://adrreports.eu/en/search_subst.html#
[1] https://twitter.com/jcbarret/status/1463975708770897923
[1] https://ja.wikipedia.org/wiki/%E3%82%BD%E3%83%88%E3%83%AD%E3%83%93%E3%83%9E%E3%83%96
[1] https://ja.wikipedia.org/wiki/N%E6%9C%AB%E7%AB%AF
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-021-02275-2
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10228-covid19-38.html
[1] https://kenkyuukai.m3.com/API/PreSocietyLoginState.asp?rurl=http%3A%2F%2Fjspp%2Ekenkyuukai%2Ejp%2Fspecial%2Findex%2Easp%3Fid%3D33578
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top URLs in Tweet in G9:
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[1] https://nextstrain.org/groups/neherlab/ncov/21K
[1] https://zhiyanleback2.blogspot.com/p/5-w-re-beginning-of-this-pandemic-origin.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en

Top URLs in Tweet in G10:
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html
[1] https://trove.nla.gov.au/newspaper/article/165750974
[1] https://health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-case-numbers-and-statistics#cases-admitted-to-hospital
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/index.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fvaccines%2Feffectiveness.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[1] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/is-the-covid19-vaccine-safe

Top Domains
Top Domains in Tweet in Entire Graph:
[933] cdc.gov
[443] go.jp
[313] nextstrain.org
[276] ibaraki.jp
[209] lg.jp
[163] gob.es
[124] covariants.org
[99] twitter.com
[98] gencat.cat
[92] go.kr

Top Domains in Tweet in G1:
[43] twitter.com
[6] youtube.com
[5] who.int
[4] odysee.com
[4] sott.net
[3] fda.gov
[3] mesopinions.com
[3] planetes360.fr
[3] wikipedia.org
[3] lesechos.fr

Top Domains in Tweet in G2:
[49] cdc.gov
[7] go.jp
[3] twitter.com

Top Domains in Tweet in G3:
[33] go.jp
[5] tokyo.jp
[3] twitter.com
[1] medrxiv.org

Top Domains in Tweet in G4:
[37] cdc.gov
[1] gob.es
[1] coronaviruspreventionnetwork.org
[1] mskcc.org

Top Domains in Tweet in G5:
[191] nextstrain.org
[116] covariants.org
[8] go.jp
[5] cdc.gov
[5] gob.es
[4] github.com
[4] news-medical.net
[2] twitter.com
[1] who.int
[1] bedford.io

Top Domains in Tweet in G6:
[68] cdc.gov
[4] nextstrain.org
[3] twitter.com
[2] vaccines.gov
[1] vaccine.gov
[1] internationalsos.com

Top Domains in Tweet in G7:
[84] cdc.gov
[81] go.jp
[45] gencat.cat
[31] nextstrain.org
[26] gob.es
[26] twitter.com
[10] go.kr
[10] ne.jp
[8] who.int
[7] lg.jp

Top Domains in Tweet in G8:
[114] go.jp
[9] adrreports.eu
[2] twitter.com
[2] wikipedia.org
[2] europa.eu
[1] nature.com
[1] m3.com
[1] cdc.gov

Top Domains in Tweet in G9:
[3] cdc.gov
[1] nextstrain.org
[1] blogspot.com
[1] publichealthontario.ca

Top Domains in Tweet in G10:
[8] cdc.gov
[2] gov.au
[1] hopkinsmedicine.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[517] covid19
[271] 新型コロナウイルス
[68] 더안전한_더나은일상
[68] 우리에게다시
[64] greek
[43] covid_19
[37] omicron
[36] coronavirus
[32] covid
[27] 新型コロナ



Top Hashtags in Tweet in G1:
[14] guadeloupe
[10] manifs27novembre
[8] veran
[8] 3emedose
[7] stopfakenewstv
[5] omicron
[5] mafiosi
[5] passsanitaire
[4] oms
[4] antilles

Top Hashtags in Tweet in G3:
[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 G5:
[8] covid19
[7] sarscov2
[6] covid
[5] sars
[5] coronavirus
[5] ncov
[2] b11523
[2] e484k
[2] s494p
[2] spikeprotein

Top Hashtags in Tweet in G6:
[362] covid19
[8] holidays
[3] vaccines
[2] dyk
[2] covid
[2] mentalhealth
[2] uber
[2] lyft
[2] comparto
[2] boosters

Top Hashtags in Tweet in G7:
[21] covid19
[7] coronavirus
[6] covid
[6] sarscov2
[4] mesurescovid19
[4] vaccines
[4] cdc
[4] omicronvariant
[3] certificatcovid
[2] yomevacunoseguro

Top Hashtags in Tweet in G10:
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[1009] gino_2019_ncov
[944] covid
[740] sars
[725] cov
[538] です
[531] ワクチン
[530] オミクロンだろうが何だろうが
[530] コロナにかかる確率を減らす方策は
[530] マスク
[530] 密を避ける

Top Words in Tweet in G1:
[981] gino_2019_ncov
[217] ce
[157] c'est
[138] ils
[116] ça
[111] plus
[98] sont
[94] mais
[85] louan07
[80] non

Top Words in Tweet in G2:
[511] オミクロンだろうが何だろうが
[511] コロナにかかる確率を減らす方策は
[511] ワクチン
[511] マスク
[511] 密を避ける
[511] 換気
[511] 手指衛生
[511] 体調悪い時に人と会わない
[511] 体調悪い人と会わない
[511] です

Top Words in Tweet in G3:
[504] koichi_kawakami
[483] ワクチン接種
[480] オミクロン株に嘆息
[480] スパイク蛋白質に32か所の変異
[480] 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
[480] 経済再開のシナリオを嘲笑うかのよう
[480] 検査
[480] 保護
[480] 経済再開
[480] へ転換を

Top Words in Tweet in G4:
[443] work
[443] lab
[443] labs
[441] juliethoren
[414] timrunshismouth
[414] cov
[414] strain
[413] majority
[413] testing
[413] sars

Top Words in Tweet in G5:
[325] nextstrain
[183] 21k
[170] trvrb
[160] mutations
[158] s1
[154] omicron
[151] south
[140] build
[140] designated
[140] lineage

Top Words in Tweet in G6:
[362] #covid19
[360] cdcgov
[211] years
[201] vaccine
[170] ages
[170] older
[160] vaccines
[144] everyone
[129] eligible
[119] covid

Top Words in Tweet in G7:
[116] covid
[87] 19
[60] cov
[57] sars
[49] ncov
[41] 2の変異株b
[40] 11
[39] オミクロン株
[38] 529系統
[36] 2021

Top Words in Tweet in G8:
[150] オミクロン株
[105] sars
[105] cov
[104] 2の変異株b
[102] 529系統
[71] sukunabikona7
[71] 国立感染研よりオミクロン株について第2報
[71] 各国の症例についての経緯や
[71] 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
[52] について

Top Words in Tweet in G9:
[379] million
[191] natural
[190] covid
[189] 150
[189] 190
[189] survived
[188] kylenabecker
[119] immunity
[116] between
[116] americans

Top Words in Tweet in G10:
[6] kathmarval
[6] mcfunny
[6] wendyorent
[5] carlsmythe
[5] cdc
[4] provaxtexan
[4] ghoppe
[4] mdrisette
[4] skepticalmutant
[4] flu

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[718] sars,cov
[530] 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
[530] コロナにかかる確率を減らす方策は,ワクチン
[530] ワクチン,マスク
[530] マスク,密を避ける
[530] 密を避ける,換気
[530] 換気,手指衛生
[530] 手指衛生,体調悪い時に人と会わない
[530] 体調悪い時に人と会わない,体調悪い人と会わない
[530] 体調悪い人と会わない,です

Top Word Pairs in Tweet in G1:
[34] ado,15
[34] 15,ans
[32] ah,ah
[29] gino_2019_ncov,el_dic_tator
[26] stephjeremiem7,gino_2019_ncov
[24] cette,année
[24] blemontmarc,gino_2019_ncov
[23] poulin2012,olivierveran
[22] sont,décédés
[22] el_dic_tator,secretwar_

Top Word Pairs in Tweet in G2:
[511] 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
[511] コロナにかかる確率を減らす方策は,ワクチン
[511] ワクチン,マスク
[511] マスク,密を避ける
[511] 密を避ける,換気
[511] 換気,手指衛生
[511] 手指衛生,体調悪い時に人と会わない
[511] 体調悪い時に人と会わない,体調悪い人と会わない
[511] 体調悪い人と会わない,です
[511] です,特別な何かがあるわけでもなく

Top Word Pairs in Tweet in G3:
[480] オミクロン株に嘆息,スパイク蛋白質に32か所の変異
[480] 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
[480] 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
[480] ワクチン接種,経済再開のシナリオを嘲笑うかのよう
[480] 経済再開のシナリオを嘲笑うかのよう,検査
[480] 検査,保護
[480] 保護,経済再開
[480] 経済再開,へ転換を
[479] koichi_kawakami,オミクロン株に嘆息
[479] へ転換を,#空港検疫をpcrに戻して

Top Word Pairs in Tweet in G4:
[443] work,lab
[413] timrunshismouth,work
[413] lab,majority
[413] majority,labs
[413] labs,testing
[413] testing,sars
[413] sars,cov
[413] cov,zero
[413] zero,capability
[413] capability,telling

Top Word Pairs in Tweet in G5:
[147] 21k,omicron
[139] south,africa
[137] focal,build
[135] given,mutational
[135] mutational,profile
[135] profile,alongside
[135] alongside,quickly
[135] quickly,increasing
[135] increasing,frequency
[135] frequency,south

Top Word Pairs in Tweet in G6:
[155] years,older
[142] everyone,ages
[126] ages,years
[125] older,eligible
[117] covid,19
[98] #covid19,vaccines
[96] eligible,free
[96] free,#covid19
[96] #covid19,vaccine
[96] vaccine,find

Top Word Pairs in Tweet in G7:
[63] covid,19
[57] sars,cov
[41] cov,2の変異株b
[38] 529系統,オミクロン株
[36] オミクロン株,について
[35] 2の変異株b,529系統
[33] について,第2報
[21] gent,gran
[20] residències,gent
[19] certificat,covid

Top Word Pairs in Tweet in G8:
[105] sars,cov
[104] cov,2の変異株b
[102] 2の変異株b,529系統
[102] 529系統,オミクロン株
[71] 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
[71] 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
[70] sukunabikona7,国立感染研よりオミクロン株について第2報
[52] オミクロン株,について
[52] について,第2報
[51] 過去最も多様性があり,感染

Top Word Pairs in Tweet in G9:
[189] 150,million
[189] million,190
[189] 190,million
[189] covid,survived
[189] survived,natural
[118] natural,immunity
[116] between,150
[116] million,americans
[116] americans,covid
[115] kylenabecker,between

Top Word Pairs in Tweet in G10:
[3] bill20538001,kathmarval
[3] markmcdougall13,nyob7714
[3] nyob7714,browningneelyn
[3] browningneelyn,kayvonpaul
[3] kayvonpaul,alex_on_a14
[3] alex_on_a14,wendyorent
[3] wendyorent,will_holliday1
[3] will_holliday1,nateweymouth
[3] nateweymouth,fineandbrennan
[3] fineandbrennan,johnbee888

Top Replied-To
Top Replied-To in Entire Graph:
@gino_2019_ncov
@louan07
@aureliem0813
@mariececileker1
@robertopara08
@blue_ncov
@crepin_sylvain
@bluesman421
@stephjeremiem7
@blemontmarc

Top Replied-To in G1:
@gino_2019_ncov
@louan07
@aureliem0813
@mariececileker1
@robertopara08
@crepin_sylvain
@bluesman421
@stephjeremiem7
@blemontmarc
@jeansaisrie

Top Replied-To in G3:
@koichi_kawakami
@norinotes
@saitosan1980

Top Replied-To in G4:
@susanstjames3_
@timrunshismouth
@misterbumface
@kyleharmon21
@manuelagratis
@extranotipo
@stevemi88021428

Top Replied-To in G5:
@fitterhappieraj
@equiripple
@supersat
@medrxivpreprint
@coronavirusnewv
@ydeigin
@vipintukur
@nextstrain
@laduplessis
@laura_boykin

Top Replied-To in G6:
@pen_is_mighty
@karlasaller
@pc_guerrero
@robert_spalding
@retailbiotech
@wakeupfromcovid
@steven_mala
@empiretrader82
@govolsin2020

Top Replied-To in G7:
@byuoritter

Top Replied-To in G8:
@jcbarret

Top Replied-To in G9:
@healthnygov
@gdemaneuf
@mkeelanbishop

Top Replied-To in G10:
@provaxtexan
@kath2cats
@digitalsoulman2
@wjack76995
@whocares011813
@stoichastich
@1_tmf_

Top Mentioned
Top Mentioned in Entire Graph:
@bar1star
@koichi_kawakami
@gino_2019_ncov
@juliethoren
@timrunshismouth
@cdcgov
@nextstrain
@ibaraki_kouhou
@kylenabecker
@trvrb

Top Mentioned in G1:
@gino_2019_ncov
@louan07
@el_dic_tator
@jaimehorta17
@fitzlemonade1
@secretwar_
@medic4allhuman
@olivierveran
@le_general_offl
@poulin2012

Top Mentioned in G2:
@bar1star
@tokophotoko
@jaidsenmoni
@sukunabikona7
@ryuseinagatomo1
@vaccinewatch

Top Mentioned in G3:
@koichi_kawakami
@funny3000
@nerima_tokyo
@keiki22
@norinotes
@rokusyourenn

Top Mentioned in G4:
@juliethoren
@timrunshismouth
@susanstjames3_
@lilenawight
@markmulder20
@oletros
@fernandocervera
@florianbenedikt
@elsegundoluz
@georgiagirl211

Top Mentioned in G5:
@nextstrain
@trvrb
@pangonetwork
@firefoxx66
@who
@miakiza20100906
@ydeigin
@newsmedical
@lsmuni
@susscro58355800

Top Mentioned in G6:
@cdcgov
@acstokyo
@secmartywalsh
@azdhs
@cdcespanol
@nist
@don_milton
@alehsalcedo2
@pc_guerrero
@realcandaceo

Top Mentioned in G7:
@drml350phd
@70sbachchan
@harekri16835541
@bartsnhslibrary
@ldsagency
@haitatsuingoro
@theeliasrework
@spanienisverige
@clubfmphilly

Top Mentioned in G8:
@sukunabikona7
@invesdoctor
@motoisuzuki
@ped_allergy
@universalsoftw2
@bar1star
@doctoryoume
@kentaroonizuka
@k9fcr
@tailriskarb

Top Mentioned in G9:
@kylenabecker
@healthnygov
@billybostickson
@zhiyanle
@juliethoren
@timrunshismouth
@firefoxx66

Top Mentioned in G10:
@kathmarval
@mcfunny
@wendyorent
@carlsmythe
@ghoppe
@mdrisette
@skepticalmutant
@andylumm
@alex_on_a14
@andrewlazarus4

Top Tweeters
Top Tweeters in Entire Graph:
@thebookofginko
@missb62
@simanekomama
@hjlv2378
@manchan_sub_acc
@rk70534
@pairsonnalitesu
@matiere
@nyancow
@k1a1zzz

Top Tweeters in G1:
@m2bliquis
@4tchat
@altai_armande
@thalassa2008
@madrynha2012
@chani_bayle
@bfmtv
@nausicalibre
@yvespdb
@rosesouslapluie

Top Tweeters in G2:
@nyancow
@madfall1213
@reichi062
@fusasippona
@face_star
@hakofuguf
@hien_mizukiba
@otakutokkai
@paku
@808cyatumi

Top Tweeters in G3:
@simanekomama
@manchan_sub_acc
@tyajyo
@cao58020
@may_roma
@anon_chiz
@sobtomk
@chiemma44
@nerimabot2
@saki8taku3

Top Tweeters in G4:
@bonbee81
@raeganlady
@pixiedust5135
@reneemccone
@k1ssmygr1ts
@perchance99
@mpg25mary
@colleenrasmuss
@jeffreymadwisc
@asia742

Top Tweeters in G5:
@rk70534
@asher_wolf
@silvrib
@migneko
@elkehollings
@bassaces1
@demiurgotuiter
@alykhansatchu
@ac_k_y
@bn2islander

Top Tweeters in G6:
@k1a1zzz
@john1966olsen
@flipthescript8
@wadakashiho
@alllwftopic
@njdoc
@arcticfox_am_i
@amazingchevvolt
@beccanalia
@jairochl

Top Tweeters in G7:
@pairsonnalitesu
@matiere
@toicitiesnews
@cordwainerscat
@uchida_kawasaki
@bokura
@personalfitnes3
@didaclopez
@magepa
@haolethai

Top Tweeters in G8:
@seabat707
@keinishikawa3
@aki_panda_aki
@eimc3z
@akakiao
@kondohi
@rock8p698p
@love_toucan
@zion_ametista
@mammonepesci

Top Tweeters in G9:
@patriot_girl_tx
@mooncindylu
@alettaha
@plivestrong
@spacema09104056
@woodward_roxie
@debrabuenik
@autumnalbaby
@happyfinko
@tupelohoney2000

Top Tweeters in G10:
@lizditz
@adevotedyogi
@_mamadeb
@tony__heller
@denutrients
@jds44894884
@littlelishka
@monstercoyliar
@just4thecause
@kath2cats