NCoV, Twitter, 1/11/2023 9:55:22 AM, 287723


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NCoV_2023-01-11_01-44-02.xlsx
NCoV_2023-01-11_01-44-02.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 11, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3CECXnM
@luckytran
@_2019_ncov
@who
@cdriclio
@swords_mr
@tm_quencher
@cdcgov
@tsatie
@jljcolorado
@mcornbeef

Top hashtags:
#longcovid
#新型コロナウイルス感染症情報
#covid_19
#covid19
#damarhamlin
#commotiocordis
#vaccineinjury
#cdc
#covid
#코로나19

Description:
Description
The graph represents a network of 5,675 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 09:47 UTC.

The tweets in the network were tweeted over the 1092-day, 13-hour, 39-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Wednesday, 11 January 2023 at 00:57 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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 : 5675
Unique Edges : 3026
Edges With Duplicates : 12188
Total Edges : 15214
Number of Edge Types : 9
Retweet : 3544
MentionsInRetweet : 4237
MentionsInReplyTo : 4561
Replies to : 1744
Tweet : 450
Mentions : 150
MentionsInQuoteReply : 438
Quote : 59
MentionsInQuote : 31
Self-Loops : 862
Reciprocated Vertex Pair Ratio : 0.0388933440256616
Reciprocated Edge Ratio : 0.0748745658047086
Connected Components : 455
Single-Vertex Connected Components : 142
Maximum Vertices in a Connected Component : 3811
Maximum Edges in a Connected Component : 10780
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.819931
Graph Density : 0.000241397890369395
Modularity : 0.469772
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,675 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 09:47 UTC.

The tweets in the network were tweeted over the 1092-day, 13-hour, 39-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Wednesday, 11 January 2023 at 00:57 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[254] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[147] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[87] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[67] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[67] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[58] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[50] https://www.nejm.org/doi/full/10.1056/NEJMoa2211029
[45] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[35] https://www.zerohedge.com/markets/cdc-finally-releases-vaers-safety-monitoring-analyses-covid-vaccines
[35] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html

Top URLs in Tweet in G1:
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://twitter.com/CDCgov/status/1608875618497867776
[1] https://covid.cdc.gov/covid-data-tracker/#county-view?list_select_state=all_states&list_select_county=all_counties&data-type=Risk&null=Risk
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html#:~:text=Preventing%20Long%20COVID
[1] https://twitter.com/luckytran/status/1612301590337044482/photo/1
[1] https://twitter.com/Avi_Bueno/status/1612308551413760001/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/downloads/332440-A_FS_COVID_Plan_FINAL.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G2:
[33] https://www.zerohedge.com/markets/cdc-finally-releases-vaers-safety-monitoring-analyses-covid-vaccines
[8] https://twitter.com/krilin56/status/1612278552065617920/photo/1
[4] https://twitter.com/Fart47404663/status/1611820077921492993?t=Pay2zc3Yv38ea2LwQKx06Q&s=19
[4] https://twitter.com/THEVENONPierri1/status/1611873595210305536/photo/1
[3] https://twitter.com/PlumeBleue12/status/1612068140825071616/photo/1
[3] https://twitter.com/Louan07/status/1612411274679259136/photo/1
[2] https://twitter.com/_2019_nCoV/status/1612524297800540181/photo/1
[2] https://twitter.com/_2019_nCoV/status/1611651826591453184/photo/1
[2] https://pgibertie.com/2021/06/01/une-action-en-justice-a-ete-lancee-par-lassociation-du-barreau-indien-contre-la-scientifique-en-chef-de-loms-pour-diffusion-de-fausses-informations-sur-livermectine-ayant-conduit-a-des-pertes-de/
[2] https://twitter.com/PanDanTag/status/1592691959189340161

Top URLs in Tweet in G3:
[33] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[23] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[15] https://twitter.com/MamaToronto/status/1611944813732978688/photo/1
[11] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[5] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf
[4] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf?sc_lang=en
[4] https://twitter.com/VSicaKasabach/status/1612728982218178560/photo/1
[4] https://twitter.com/WolfmannotJack/status/1611409699081191425/photo/1
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[3] https://www.publichealthontario.ca/en/data-and-analysis/infectious-disease/covid-19-data-surveillance/covid-19-data-tool?tab=overview

Top URLs in Tweet in G4:
[87] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[4] https://twitter.com/freedom4alluk/status/1612319254975741952/photo/1
[3] https://twitter.com/UnderGodTMB/status/1611975309276110848/photo/1
[3] https://twitter.com/UnderGodTMB/status/1611966496930160641/photo/1
[3] https://twitter.com/themoneyhunney/status/1612115141071458306/photo/1
[2] https://www.worldometers.info/coronavirus/country/us/
[2] https://covid.cdc.gov/covid-data-tracker/#demographics
[2] https://www.theatlantic.com/health/archive/2023/01/damar-hamlin-cardiac-arrest-covid-anti-vaccine-heart-theories/672644/
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html?s_cid=11759:cdc%20covid%20guidelines:sem.ga:p:RG:GM:gen:PTN:FY22

Top URLs in Tweet in G5:
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[6] https://c11.kr/196gt
[6] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://twitter.com/blurmyu/status/1612746778444693504/photo/1
[4] https://twitter.com/blurmyu/status/1611677863484477441/photo/1

Top URLs in Tweet in G6:
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://twitter.com/carydavid722/status/1608153496221814785
[1] https://www.transportation.gov/NRSS/SafetyProblem
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/underlyingconditions.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[1] https://www.acog.org/womens-health/faqs/coronavirus-covid-19-pregnancy-and-breastfeeding
[1] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/pregnancy-breastfeeding.html#:~:text=Current%20evidence%20suggests%20that%20breast,become%20pregnant%20in%20the%20future
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.htmlz
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html

Top URLs in Tweet in G7:
[50] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[50] https://www.nejm.org/doi/full/10.1056/NEJMoa2211029
[9] https://minato.sip21c.org/2019-nCoV-im3r.html#MICRONESIANOUTBREAK
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/221201_teireikaiken.html
[1] https://twitter.com/HMDatabase/status/1612518397647937554
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyoukakuho-phase041220.html
[1] https://www3.nhk.or.jp/news/special/coronavirus/data-all/
[1] https://twitter.com/mashamasha76656/status/1612219052939972608
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-symptomatic.html

Top URLs in Tweet in G8:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html?fbclid=IwAR1dW_D8vyxzdqOKYPiZRrb6qk2W1-qG5LDnOFD9icPwcVZGICQueL5Hbu8
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[2] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[1] https://twitter.com/VigilantFox/status/1611572569919950850?s=20&t=6hjiiFcU29-vO8OU6HpoWA
[1] https://twitter.com/NowTheEndBegins/status/1612118527267295233?s=20&t=fSuetGvhHYURviLKoRlv3w

Top URLs in Tweet in G9:
[4] https://twitter.com/jornalvitimas/status/1612393140492636160/photo/1
[2] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1593538
[2] https://twitter.com/jornalvitimas/status/1612394089055502337/photo/1
[2] https://twitter.com/jornalvitimas/status/1612099680434888708/photo/1
[2] https://twitter.com/jornalvitimas/status/1612100083767742466/photo/1
[1] https://realidadeemfoco.com.br/trabalhador-surta-agride-pessoas-e-morre-apos-mal-subito-em-jose-de-freitas/

Top URLs in Tweet in G10:
[246] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[8] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1612701581950214144/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1610894040995860485/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1611622753576292352/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1612358729663676416/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1611258842922496000/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1611990161180745728/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1610168959868731392/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1610541876880498689/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[781] cdc.gov
[680] twitter.com
[273] ibaraki.jp
[191] lg.jp
[69] go.jp
[54] nejm.org
[45] nih.gov
[35] go.kr
[35] zerohedge.com
[35] publichealthontario.ca

Top Domains in Tweet in G1:
[12] cdc.gov
[5] twitter.com

Top Domains in Tweet in G2:
[147] twitter.com
[33] zerohedge.com
[9] youtube.com
[5] odysee.com
[4] pgibertie.com
[2] lemonde.fr
[2] threadreaderapp.com
[2] turbo.fr
[2] j.ai
[1] newmarkettoday.ca

Top Domains in Tweet in G3:
[92] cdc.gov
[55] twitter.com
[18] publichealthontario.ca
[3] who.int
[3] ada.com
[3] myocarditisfoundation.org
[3] europa.eu
[2] nih.gov
[2] medrxiv.org
[2] researchsquare.com

Top Domains in Tweet in G4:
[107] cdc.gov
[32] twitter.com
[3] substack.com
[2] worldometers.info
[2] theatlantic.com
[2] nextstrain.org
[1] givesendgo.com
[1] sorryantivaxxer.com
[1] nih.gov
[1] sciencedirect.com

Top Domains in Tweet in G5:
[93] cdc.gov
[83] twitter.com
[27] recombinomics.co
[15] go.kr
[13] ibaraki.jp
[11] go.jp
[9] co.jp
[9] amazon.it
[7] lg.jp
[6] c11.kr

Top Domains in Tweet in G6:
[13] cdc.gov
[2] twitter.com
[1] transportation.gov
[1] acog.org

Top Domains in Tweet in G7:
[50] cdc.gov
[50] nejm.org
[9] sip21c.org
[6] go.jp
[5] twitter.com
[2] lg.jp
[2] ibaraki.jp
[1] or.jp

Top Domains in Tweet in G8:
[43] cdc.gov
[10] twitter.com
[2] publichealthontario.ca
[1] substack.com
[1] cbsnews.com
[1] usnews.com
[1] archive.ph
[1] thelancet.com

Top Domains in Tweet in G9:
[10] twitter.com
[2] bvsalud.org
[1] com.br

Top Domains in Tweet in G10:
[254] ibaraki.jp
[8] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1846] longcovid
[249] 新型コロナウイルス感染症情報
[140] covid_19
[62] covid19
[52] damarhamlin
[49] commotiocordis
[49] vaccineinjury
[17] cdc
[12] covid
[11] 코로나19



Top Hashtags in Tweet in G1:
[1784] longcovid

Top Hashtags in Tweet in G2:
[8] covid_19
[2] wef
[2] edf
[2] ia
[2] mathiaswargon
[2] spike
[2] effetssecondairesvaccins19
[2] stoptheshotsnow
[2] stoptheshots
[2] globonews

Top Hashtags in Tweet in G3:
[30] longcovid
[25] covid19
[6] xbb15
[3] covidisairborne
[2] wearamask
[2] bringbackmasks
[2] travel
[2] cdc
[2] internationaltravel
[2] linkedin

Top Hashtags in Tweet in G4:
[52] damarhamlin
[49] commotiocordis
[49] vaccineinjury
[4] antivaxxers
[3] myocarditis
[2] mrna
[2] longcovid
[2] collapsingathletes
[1] vaccinedeath
[1] courageousdiscourse

Top Hashtags in Tweet in G5:
[9] covid19
[5] hotgen
[3] 의정부시청
[3] 안전안내문자
[3] 재난문자
[3] test
[3] rapido
[3] antigenico
[3] health4todos
[3] neverfallmedia

Top Hashtags in Tweet in G7:
[1] hmd

Top Hashtags in Tweet in G8:
[7] covid19
[3] twitterfiles
[1] repeal1986act

Top Hashtags in Tweet in G10:
[246] 新型コロナウイルス感染症情報

Top Words
Top Words in Tweet in Entire Graph:
[2183] cdc
[1881] website
[1869] luckytran
[1858] vaccin
[1858] prevent
[1855] take
[1846] #longcovid
[1844] individuals
[1843] unbelievable
[1842] include

Top Words in Tweet in G1:
[1811] luckytran
[1791] cdc
[1784] #longcovid
[1783] take
[1782] individuals
[1782] unbelievable
[1782] actions
[1782] lists
[1782] website
[1782] include

Top Words in Tweet in G2:
[691] _2019_ncov
[86] c'est
[85] ce
[65] plus
[59] covid
[56] sont
[52] ils
[47] ça
[44] par
[41] sécurité

Top Words in Tweet in G3:
[217] cdcgov
[109] covid
[102] 19
[101] show
[100] china
[99] hong
[99] kong
[99] macau
[99] flying
[96] testing

Top Words in Tweet in G4:
[245] one
[121] possible
[80] myocarditis
[73] more
[70] cordis
[70] commotio
[68] vaccinated
[64] number
[63] both
[62] proof

Top Words in Tweet in G5:
[116] covid
[86] 19
[70] ncov
[62] 2019
[32] cases
[29] increase
[29] 2023
[29] deaths
[28] inc
[27] recombinomics

Top Words in Tweet in G6:
[10] drkellyvictory
[9] aspalaasnasntyr
[9] barryjohnreid21
[9] maureenstroud
[9] kevinault
[7] wendyorent
[7] jtmayes3
[7] idunsdaughter
[7] tomsirolimus
[7] reacharoundu

Top Words in Tweet in G7:
[50] 一般人が論文読まないと思って嘘ばかりついてるけど
[50] covid予防におけるマスクの有効性を示すデータは続々と出てるんだよな
[50] 反マスクちゃん
[49] calcijp
[33] 症状がある場合は出勤や外出を控える
[33] 必要な場面でのマスク着用など
[33] 県オンライン診療センターも活用頂き
[33] 発熱時のフローを再度添付しますので
[33] 換気
[33] ワクチン接種に加え

Top Words in Tweet in G8:
[40] covid
[29] elonmusk
[25] vaccine
[18] people
[15] cdc
[14] us_fda
[13] vaccination
[13] alexberenson
[13] hodgetwins
[12] 19

Top Words in Tweet in G9:
[123] doses
[122] alguns
[121] outras
[121] científicas
[121] oms
[121] relacionando
[121] cientistas
[121] revistas
[121] estudos
[121] ideação

Top Words in Tweet in G10:
[254] co
[246] 詳細
[246] 現在の入院者数
[246] 本日の死亡者
[246] 検査前で症状がある方
[246] 本日の新規陽性者数
[246] うち重症者
[246] #新型コロナウイルス感染症情報
[245] qnzux8c1z3
[238] ibaraki_kouhou

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1862] cdc,website
[1840] website,lists
[1839] individuals,take
[1839] prevent,#longcovid
[1839] take,prevent
[1839] unbelievable,cdc
[1839] #longcovid,include
[1839] lists,actions
[1839] actions,individuals
[1838] include,vaccin

Top Word Pairs in Tweet in G1:
[1782] take,prevent
[1782] website,lists
[1782] unbelievable,cdc
[1782] cdc,website
[1782] #longcovid,include
[1782] individuals,take
[1782] prevent,#longcovid
[1782] actions,individuals
[1782] lists,actions
[1781] luckytran,unbelievable

Top Word Pairs in Tweet in G2:
[34] vaccins,covid
[33] vaers,vaccins
[33] sécurité,vaers
[33] enfin,analyses
[33] surveillance,sécurité
[33] analyses,surveillance
[33] publie,enfin
[33] cdc,publie
[32] covid,tati
[32] julienm__,cdc

Top Word Pairs in Tweet in G3:
[99] china,hong
[99] kong,macau
[99] hong,kong
[93] testing,requirement
[93] macau,required
[93] yrs,older
[93] flying,china
[93] requirement,yrs
[93] older,flying
[93] required,show

Top Word Pairs in Tweet in G4:
[70] commotio,cordis
[63] cordis,one
[63] vaccinated,myocarditis
[62] number,occurrence
[62] large,number
[62] occurrence,vaccinated
[62] myocarditis,one
[62] arbitrarily,eliminated
[61] one,large
[60] both,possible

Top Word Pairs in Tweet in G5:
[74] covid,19
[57] 2019,ncov
[27] cases,increase
[27] covid,cases
[27] recombinomics,inc
[27] ncov,recombinomics
[13] sars,cov
[11] 19,vaccines
[10] 2023,01
[9] rapido,antigenico

Top Word Pairs in Tweet in G6:
[5] sasquatch4eva,rickeyh64219156
[5] skepticalmutant,pawley_robert
[5] zeetubesii,wendyorent
[5] theroyalrant,idunsdaughter
[5] rickeyh64219156,ianb_67
[5] idunsdaughter,doom37455413
[5] pawley_robert,acmeatomicace
[5] jaytee116james,kevinoler
[5] sariellaforever,dense_evi
[5] monstercoyliar,reacharoundu

Top Word Pairs in Tweet in G7:
[50] 一般人が論文読まないと思って嘘ばかりついてるけど,covid予防におけるマスクの有効性を示すデータは続々と出てるんだよな
[50] 反マスクちゃん,一般人が論文読まないと思って嘘ばかりついてるけど
[49] calcijp,反マスクちゃん
[33] 必要な場面でのマスク着用など,改めて基本的な感染対策にご留意ください
[33] ワクチン接種に加え,症状がある場合は出勤や外出を控える
[33] 発熱時のフローを再度添付しますので,県オンライン診療センターも活用頂き
[33] 症状がある場合は出勤や外出を控える,換気
[33] 改めて基本的な感染対策にご留意ください,発熱時のフローを再度添付しますので
[33] 換気,必要な場面でのマスク着用など
[32] kumagai_chiba,ワクチン接種に加え

Top Word Pairs in Tweet in G8:
[13] alexberenson,us_fda
[13] us_fda,elonmusk
[11] covid,19
[8] covid,vaccines
[7] sudden,death
[7] arrest,sudden
[7] association,between
[7] vaccination,cardiac
[7] death,athletes
[7] #covid19,vaccine

Top Word Pairs in Tweet in G9:
[121] doses,alguns
[121] estudos,relacionando
[121] oms,outras
[121] científicas,publicaram
[121] suicida,às
[121] alguns,cientistas
[121] outras,revistas
[121] publicaram,estudos
[121] às,doses
[121] ideação,suicida

Top Word Pairs in Tweet in G10:
[246] 詳細,co
[245] qnzux8c1z3,検査前で症状がある方
[245] co,qnzux8c1z3
[238] ibaraki_kouhou,#新型コロナウイルス感染症情報
[127] 検査前で症状がある方,検査で
[111] 検査前で症状がある方,検査で陽
[72] 本日の死亡者,11名
[72] 18名,本日の死亡者
[72] 11名,詳細
[72] #新型コロナウイルス感染症情報,1月8日

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@debateonfacts
@swords_mr
@cyrillegermain
@nagualquetzal
@roper_lab
@luckytran
@immortellexiii
@ultrawave5
@hollywood1114

Top Replied-To in G1:
@luckytran
@kprather88

Top Replied-To in G2:
@_2019_ncov
@cyrillegermain
@immortellexiii
@bfmtv
@kyle_copain
@didiercoquard2
@caudehenrion
@p_duval
@gerardfiloche
@unjoaillier

Top Replied-To in G3:
@mandatemasksus
@drericding
@johnsgunn
@thewhn
@andrewewing11
@marchalombre_
@jasonsm94750412
@donoharm0414
@myrabatchelder
@monitorfake

Top Replied-To in G4:
@swords_mr
@rachellefriedm2
@backtolife_2023
@kimmer4444
@redlights4ff
@drumkit13j
@catturd2
@mehdirhasan
@ode2donaldtrump
@ashmanson

Top Replied-To in G6:
@carydavid722
@ryanbeed
@sheepshav
@varauteochcykla
@paramaniac9
@drkellyvictory
@ladoodles
@christo37877949
@oscarskeptic
@golfergirl2018

Top Replied-To in G7:
@kazutan83792182
@deblanc0291
@nonmomi
@kitazatosatuki

Top Replied-To in G8:
@roper_lab
@ultrawave5
@themikemorton
@sgtnewsnetwork
@chrisba57027595
@robgoodall6
@wrong_way_down
@alex_filio
@wydeplorable
@doctor_eric_b

Top Mentioned
Top Mentioned in Entire Graph:
@luckytran
@ibaraki_kouhou
@cdcgov
@_2019_ncov
@ministeriosalud
@jornalvitimas
@hiroshima_pref
@tm_quencher
@chibaken_kouhou
@calcijp

Top Mentioned in G1:
@luckytran
@mehdirhasan
@avi_bueno
@freespeech_0
@papaworm

Top Mentioned in G2:
@_2019_ncov
@julienm__
@crashdebug_fr
@sitting_bull_d
@verity_france
@alainsebil
@narashi13876794
@statchriscotton
@le__general_0ff

Top Mentioned in G3:
@cdcgov
@mandatemasksus
@flsurgeongen
@luckytran
@lazaruslong13
@tryangregory
@weselymd
@sunnysideyards
@drericding
@mamatoronto

Top Mentioned in G4:
@p_mcculloughmd
@diamondandsilk
@blackknight10k
@ctvedmonton
@nfl
@nowtheendbegins
@dailyloud
@mwritergirl
@ph_comms
@rwmalonemd

Top Mentioned in G5:
@clubfmphilly
@20052000_tan
@jerrytess
@shangrila333

Top Mentioned in G6:
@aspalaasnasntyr
@maureenstroud
@barryjohnreid21
@drkellyvictory
@idunsdaughter
@pouldeau61
@scottstocker4
@tonybaduy
@skepticalmutant
@consequentialbr

Top Mentioned in G7:
@calcijp
@kumagai_chiba
@kitazatosatuki
@minatonakazawa
@earl_covid19_tw

Top Mentioned in G8:
@elonmusk
@us_fda
@alexberenson
@hodgetwins
@foxnews
@usaphc
@cbsnews
@abc
@draseemmalhotra
@itsjefftiedrich

Top Mentioned in G9:
@jornalvitimas

Top Mentioned in G10:
@ibaraki_kouhou

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@threadreaderapp
@simanekomama
@rk70534
@matiere
@akane_kawahata
@machi_usagi
@sippomagari
@lizditz
@kinasato_cap001

Top Tweeters in G1:
@rk70534
@lizditz
@katcapps
@wildwalkerwoman
@deepvard
@jmramos1701d
@morgfair
@cnbsnana
@astraea_styx
@squirrel1110

Top Tweeters in G2:
@threadreaderapp
@bfmtv
@yvespdb
@brunedrot
@sarah41659531
@william85837998
@lemondefr
@nanemad
@gerardfiloche
@cnews

Top Tweeters in G3:
@matiere
@theresamax
@adekleine
@tyberzannxxxx
@darylgibson
@markplackett1
@debp197
@pray_4truth
@joejaggi
@melissasweetdr

Top Tweeters in G4:
@tomthunkitsmind
@stachanna
@smc429
@weejockmaley
@flolake
@msnbc
@nfl
@barnes_law
@phil_lewis_
@theatlantic

Top Tweeters in G5:
@personalfitnes3
@noel_hasui
@8000yo
@nevermore_007
@sinelo1968
@godzillaslays65
@gate_15_analyst
@andreastoolbox
@clubfmphilly
@askboomer1949

Top Tweeters in G6:
@doritmi
@monstercoyliar
@mcfunny
@angryfleas
@scjohnston
@nockit1
@wendyorent
@pawley_robert
@andrewlazarus4
@carlsmythe

Top Tweeters in G7:
@akane_kawahata
@kinasato_cap001
@hakofuguf
@otakutokkai
@neko_mimisky
@rx78_01
@haltaq
@area83ontweet
@kurohoshi_p
@kaz_ts

Top Tweeters in G8:
@foxnews
@buckleyswartz
@abc
@joncoopertweets
@cbsnews
@nbcnews
@mmpadellan
@muellershewrote
@kylegriffin1
@liligogo19

Top Tweeters in G9:
@new_delia
@conservadora191
@bartolsep
@11setembro
@dmvp20
@sheilal43605454
@dradeborasousa
@milenga
@cleciofofo
@bolson_c

Top Tweeters in G10:
@shintochigi1
@mutoh_z
@tsuka_kazunee
@sgr_kn
@dummyxtweet
@beer_prius
@contaxndigital
@yamano__88
@susltetu
@eyesiksmom1


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