NCoV, Twitter, 1/12/2023 11:37:31 AM, 287821


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NCoV_2023-01-12_03-28-18.xlsx
NCoV_2023-01-12_03-28-18.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 12, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3J00Av1
@luckytran
@cdcgov
@swords_mr
@_2019_ncov
@maubuisson61
@julienm__
@doritmi
@bricolix
@ryanbeed
@rwmalonemd

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

Description:
Description
The graph represents a network of 5,748 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 11:32 UTC.

The tweets in the network were tweeted over the 1093-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Thursday, 12 January 2023 at 01:00 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 : 5748
Unique Edges : 3482
Edges With Duplicates : 11878
Total Edges : 15360
Number of Edge Types : 9
Retweet : 3611
MentionsInRetweet : 4326
Replies to : 1664
MentionsInReplyTo : 4920
Tweet : 438
Mentions : 159
Quote : 52
MentionsInQuoteReply : 162
MentionsInQuote : 28
Self-Loops : 827
Reciprocated Vertex Pair Ratio : 0.0352439483255989
Reciprocated Edge Ratio : 0.0680881996607705
Connected Components : 442
Single-Vertex Connected Components : 142
Maximum Vertices in a Connected Component : 3937
Maximum Edges in a Connected Component : 11140
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.41241
Graph Density : 0.000249865622304651
Modularity : 0.488622
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,748 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 11:32 UTC.

The tweets in the network were tweeted over the 1093-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Thursday, 12 January 2023 at 01:00 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:
[181] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[178] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[94] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[71] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[65] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[58] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[57] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[50] https://www.nejm.org/doi/full/10.1056/NEJMoa2211029
[46] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[37] https://www.zerohedge.com/markets/cdc-finally-releases-vaers-safety-monitoring-analyses-covid-vaccines

Top URLs in Tweet in G1:
[16] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://twitter.com/VSicaKasabach/status/1612728982218178560/photo/1
[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/travelers/proof-of-vaccination.html

Top URLs in Tweet in G2:
[32] https://www.zerohedge.com/markets/cdc-finally-releases-vaers-safety-monitoring-analyses-covid-vaccines
[8] https://twitter.com/THEFLOWER008/status/1612936685507022849?t=i6tTTepcBrh9fdz9SFx8Pw&s=19
[8] https://twitter.com/krilin56/status/1612278552065617920/photo/1
[6] https://twitter.com/GaelianPrincess/status/1613259773322862608/photo/1
[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
[3] https://twitter.com/Fart47404663/status/1611820077921492993?t=Pay2zc3Yv38ea2LwQKx06Q&s=19
[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/_2019_nCoV/status/1612524297800540181/photo/1

Top URLs in Tweet in G3:
[92] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[3] https://www.publichealthontario.ca/en/data-and-analysis/infectious-disease/covid-19-data-surveillance/covid-19-data-tool?tab=overview
[3] https://www.publichealthontario.ca/en/Settings/Retire-Media?mid={1EA1084E-53CD-4C2F-A268-F26C24FF9EF2}
[3] https://ada.com/conditions/myocarditis/
[3] https://www.myocarditisfoundation.org/research-and-grants/faqs/types-of-myocarditis/
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html

Top URLs in Tweet in G4:
[104] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[4] https://twitter.com/freedom4alluk/status/1612319254975741952/photo/1
[4] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?r=q71r3&utm_medium=ios&utm_campaign=post
[3] https://twitter.com/swords_mr/status/1613338219428433921/photo/1
[3] https://twitter.com/themoneyhunney/status/1612115141071458306/photo/1
[2] https://www.theatlantic.com/health/archive/2023/01/damar-hamlin-cardiac-arrest-covid-anti-vaccine-heart-theories/672644/
[2] https://www.worldometers.info/coronavirus/country/us/
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[2] https://www.zerohedge.com/markets/cdc-finally-releases-vaers-safety-monitoring-analyses-covid-vaccines

Top URLs in Tweet in G5:
[177] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[57] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[46] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[4] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[4] https://www.catapoke.com/viewer/?open=62b3f
[4] https://twitter.com/birdlover02122/status/1613184917135052800/photo/1
[3] https://twitter.com/ooaminavi/status/1612773890438361090/photo/1
[2] https://twitter.com/ooaminavi/status/1612772740314042368/photo/1
[2] https://twitter.com/ooaminavi/status/1612351968873447424/photo/1

Top URLs in Tweet in G6:
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://c11.kr/196gt
[6] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[6] https://ncv.kdca.go.kr/ncov
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[4] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[4] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=

Top URLs in Tweet in G7:
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.transportation.gov/NRSS/SafetyProblem
[1] https://twitter.com/carydavid722/status/1608153496221814785
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.htmlz
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myo-outcomes.html
[1] https://www.cdc.gov/vaccines/acip/meetings/downloads/slides-2021-08-30/06-COVID-Rosenblum-508.pdf
[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

Top URLs in Tweet in G8:
[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] http://minato.sip21c.org/2019-nCoV-im3r.html
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-symptomatic.html
[1] https://twitter.com/kumagai_chiba/status/1612937349805273091/photo/1
[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/

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/1612100083767742466/photo/1
[2] https://twitter.com/jornalvitimas/status/1612099680434888708/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:
[5] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1613174016927211526/photo/1
[1] https://twitter.com/ministeriosalud/status/1612087373432750081/photo/1
[1] https://twitter.com/ministeriosalud/status/1612485667157590018/photo/1
[1] https://twitter.com/ministeriosalud/status/1611730101049098241/photo/1
[1] https://www.minsal.cl

Top Domains
Top Domains in Tweet in Entire Graph:
[884] cdc.gov
[620] twitter.com
[192] ibaraki.jp
[131] lg.jp
[53] nejm.org
[49] nih.gov
[44] go.jp
[38] publichealthontario.ca
[37] zerohedge.com
[35] go.kr

Top Domains in Tweet in G1:
[30] cdc.gov
[11] twitter.com

Top Domains in Tweet in G2:
[133] twitter.com
[32] zerohedge.com
[7] youtube.com
[5] odysee.com
[3] pgibertie.com
[3] cdc.gov
[2] turbo.fr
[1] expose-news.com
[1] newbraveworld.org
[1] nationaladdictionnews.com

Top Domains in Tweet in G3:
[128] cdc.gov
[29] twitter.com
[8] publichealthontario.ca
[3] ada.com
[3] myocarditisfoundation.org
[2] zerohedge.com
[2] go.jp
[2] medrxiv.org
[2] researchsquare.com
[2] plos.org

Top Domains in Tweet in G4:
[119] cdc.gov
[29] twitter.com
[7] substack.com
[3] theatlantic.com
[2] worldometers.info
[2] zerohedge.com
[2] nextstrain.org
[1] sciencedirect.com
[1] nytimes.com
[1] everyday.so

Top Domains in Tweet in G5:
[181] ibaraki.jp
[110] lg.jp
[23] twitter.com
[4] catapoke.com

Top Domains in Tweet in G6:
[99] cdc.gov
[78] twitter.com
[27] recombinomics.co
[18] go.kr
[11] ibaraki.jp
[9] amazon.it
[8] lg.jp
[8] c11.kr
[6] go.jp
[6] gob.es

Top Domains in Tweet in G7:
[13] cdc.gov
[2] twitter.com
[1] transportation.gov

Top Domains in Tweet in G8:
[50] cdc.gov
[50] nejm.org
[11] sip21c.org
[6] go.jp
[5] twitter.com
[2] lg.jp
[1] or.jp

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

Top Domains in Tweet in G10:
[6] minsal.cl
[4] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1921] longcovid
[177] 新型コロナウイルス感染症情報
[146] covid_19
[60] covid19
[52] damarhamlin
[49] commotiocordis
[49] vaccineinjury
[9] cdc
[9] 練馬区
[9] 코로나19



Top Hashtags in Tweet in G1:
[1861] longcovid
[1] wearamask
[1] bringbackmasks

Top Hashtags in Tweet in G2:
[10] covid_19
[2] ia
[2] ivermectine
[2] globonews
[1] france
[1] h1n1
[1] donetsk
[1] obama
[1] biden
[1] zelensky

Top Hashtags in Tweet in G3:
[21] covid19
[11] longcovid
[3] vaxfact
[3] xbb15
[2] travel
[2] cdc
[2] internationaltravel
[2] astrazeneca
[2] sarscov2
[1] coronavirus

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

Top Hashtags in Tweet in G5:
[177] 新型コロナウイルス感染症情報
[4] 広島県
[4] 新型コロナ
[4] 千葉県庁

Top Hashtags in Tweet in G6:
[9] covid19
[5] hotgen
[4] 안전안내
[4] 의정부시청
[4] 안전안내문자
[4] 재난문자
[3] covid
[3] covid19treatments
[3] covid19medications
[3] beashotcaller

Top Hashtags in Tweet in G8:
[1] hmd

Top Hashtags in Tweet in G10:
[136] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[2226] cdc
[1945] website
[1926] luckytran
[1921] #longcovid
[1916] prevent
[1913] take
[1909] vaccin
[1904] individuals
[1899] unbelievable
[1898] include

Top Words in Tweet in G1:
[1889] luckytran
[1883] cdc
[1874] website
[1861] #longcovid
[1860] take
[1859] individuals
[1859] unbelievable
[1859] actions
[1859] lists
[1859] include

Top Words in Tweet in G2:
[571] _2019_ncov
[323] julienm__
[219] non
[212] gates
[212] bill
[206] vaccinés
[205] l'arnm
[203] l'approvisionnement
[203] promet
[203] pomper

Top Words in Tweet in G3:
[248] cdcgov
[140] covid
[135] 19
[101] show
[100] china
[99] flying
[99] hong
[99] kong
[99] macau
[97] testing

Top Words in Tweet in G4:
[259] one
[142] possible
[96] myocarditis
[80] vaccinated
[78] cordis
[78] more
[78] commotio
[69] eliminated
[68] proof
[68] number

Top Words in Tweet in G5:
[246] co
[177] 検査前で症状がある方
[177] qnzux8c1z3
[177] 本日の新規陽性者数
[177] #新型コロナウイルス感染症情報
[177] うち重症者
[177] 詳細
[177] 本日の死亡者
[177] 現在の入院者数
[173] ibaraki_kouhou

Top Words in Tweet in G6:
[131] covid
[101] 19
[62] ncov
[52] 2019
[32] cases
[29] 2023
[29] cdc
[28] increase
[28] deaths
[28] inc

Top Words in Tweet in G7:
[10] drkellyvictory
[9] kevinault
[9] doom37455413
[9] jkelleyk
[9] richykirsh
[9] jimeeliberty
[9] reacharoundu
[9] wendyorent
[9] jtmayes3
[9] nuhope2022

Top Words in Tweet in G8:
[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
[41] 症状がある場合は出勤や外出を控える
[41] 必要な場面でのマスク着用など
[41] 県オンライン診療センターも活用頂き
[41] 発熱時のフローを再度添付しますので
[41] 換気
[41] ワクチン接種に加え

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

Top Words in Tweet in G10:
[273] casos
[136] enero
[136] fallecidos
[136] activos
[136] nuevos
[136] registrados
[136] #covid_19
[136] informe
[136] diario
[136] 63

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1926] cdc,website
[1896] website,lists
[1895] individuals,take
[1895] prevent,#longcovid
[1895] take,prevent
[1895] unbelievable,cdc
[1895] #longcovid,include
[1895] lists,actions
[1895] actions,individuals
[1894] include,vaccin

Top Word Pairs in Tweet in G1:
[1874] cdc,website
[1859] lists,actions
[1859] actions,individuals
[1859] prevent,#longcovid
[1859] #longcovid,include
[1859] take,prevent
[1859] individuals,take
[1859] unbelievable,cdc
[1859] website,lists
[1858] include,vaccin

Top Word Pairs in Tweet in G2:
[209] bill,gates
[204] non,vaccinés
[203] forcer,non
[203] promet,pomper
[203] l'arnm,l'approvisionnement
[203] gates,promet
[203] pomper,l'arnm
[203] l'approvisionnement,alimentaire
[203] alimentaire,forcer
[202] julienm__,bill

Top Word Pairs in Tweet in G3:
[108] covid,19
[99] china,hong
[99] kong,macau
[99] hong,kong
[96] testing,requirement
[96] macau,required
[96] yrs,older
[96] flying,china
[96] requirement,yrs
[96] older,flying

Top Word Pairs in Tweet in G4:
[78] commotio,cordis
[73] vaccinated,myocarditis
[67] cordis,one
[66] arbitrarily,eliminated
[66] number,occurrence
[66] myocarditis,one
[66] large,number
[66] occurrence,vaccinated
[64] both,possible
[64] more,both

Top Word Pairs in Tweet in G5:
[177] 詳細,co
[177] qnzux8c1z3,検査前で症状がある方
[177] co,qnzux8c1z3
[173] ibaraki_kouhou,#新型コロナウイルス感染症情報
[104] うち重症者,22名
[104] 22名,本日の死亡者
[71] 検査前で症状がある方,検査で
[57] co,aynlae1ivh
[57] 656名,うち重症者
[57] 660名,うち重症者

Top Word Pairs in Tweet in G6:
[88] covid,19
[47] 2019,ncov
[27] recombinomics,inc
[27] cases,increase
[27] covid,cases
[27] ncov,recombinomics
[14] 19,vaccines
[12] 2023,01
[10] website,updated
[10] updated,visit

Top Word Pairs in Tweet in G7:
[5] richykirsh,lazlowoodbine42
[5] skepticalmutant,pawley_robert
[5] lazlowoodbine42,zeetubesii
[5] giannmi,saluce65
[5] monstercoyliar,reacharoundu
[5] jaxxdragonan,scottstocker4
[5] doom37455413,skepticalmutant
[5] jtmayes3,richykirsh
[5] aspalaasnasntyr,nuhope2022
[5] kevinoler,sasquatch4eva

Top Word Pairs in Tweet in G8:
[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
[41] 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
[41] 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
[41] 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
[41] 症状がある場合は出勤や外出を控える,換気
[41] 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
[41] 換気,必要な場面でのマスク着用など
[40] kumagai_chiba,ワクチン接種に加え

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

Top Word Pairs in Tweet in G10:
[136] diario,#covid_19
[136] registrados,63
[136] informe,diario
[136] casos,activos
[136] fallecidos,registrados
[136] casos,nuevos
[132] ministeriosalud,informe
[94] #covid_19,enero
[49] nuevos,12
[47] activos,27

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

Top Replied-To in G1:
@luckytran
@mandatemasksus
@kprather88
@x3r0gxx
@wherewereweb4

Top Replied-To in G2:
@_2019_ncov
@julienm__
@cyrillegermain
@bfmtv
@kyle_copain
@takatitaki_t
@sarah41659531
@le__general_0ff
@mumuscience
@bardinitivoli

Top Replied-To in G3:
@cdcgov
@_2019_ncov
@johnsgunn
@thewhn
@shaggy_dog22
@monitorfake
@sbalatan
@justcallmelater
@drericding
@kevin_vegas

Top Replied-To in G4:
@swords_mr
@hansgruber_dh
@rachellefriedm2
@backtolife_2023
@whstancil
@redlights4ff
@kimmer4444
@drumkit13j
@jamiesale
@brandonlbradfor

Top Replied-To in G7:
@ryanbeed
@carydavid722
@sheepshav
@christo37877949
@ladoodles
@drkellyvictory
@pouldeau61
@paramaniac9
@orwell2023
@scottstocker4

Top Replied-To in G8:
@kitazatosatuki

Top Replied-To in G10:
@alexanderbrw
@ministeriosalud

Top Mentioned
Top Mentioned in Entire Graph:
@luckytran
@julienm__
@cdcgov
@_2019_ncov
@ibaraki_kouhou
@ministeriosalud
@jornalvitimas
@verity_france
@flsurgeongen
@planetes360

Top Mentioned in G1:
@luckytran
@mehdirhasan
@avi_bueno
@sunnysideyards
@mandatemasksus
@myrabatchelder
@papaworm
@toshiakima

Top Mentioned in G2:
@julienm__
@_2019_ncov
@verity_france
@planetes360
@tatiann69922625
@pierrejovanovic
@fart47404663
@michelstarr001
@nova153
@banounhelene

Top Mentioned in G3:
@cdcgov
@flsurgeongen
@lazaruslong13
@randpaul
@luckytran
@drericding
@heart10looks3
@jakescottmd
@thewhn
@snhdinfo

Top Mentioned in G4:
@p_mcculloughmd
@blackknight10k
@diamondandsilk
@nfl
@ctvedmonton
@coywire
@nowtheendbegins
@imi_ahmed
@mimbsy
@mwritergirl

Top Mentioned in G5:
@ibaraki_kouhou
@hiroshima_pref
@chibaken_kouhou

Top Mentioned in G6:
@clubfmphilly
@20052000_tan
@johnspacedow

Top Mentioned in G7:
@jimeeliberty
@idunsdaughter
@aspalaasnasntyr
@maureenstroud
@pawley_robert
@jkelleyk
@wendyorent
@consequentialbr
@jtmayes3
@skepticalmutant

Top Mentioned in G8:
@calcijp
@kumagai_chiba
@kitazatosatuki
@minatonakazawa
@earl_covid19_tw

Top Mentioned in G9:
@jornalvitimas

Top Mentioned in G10:
@ministeriosalud
@ximenaguilera
@araosfernando
@ccuadradon
@gobiernodechile
@mevacuno

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@threadreaderapp
@rk70534
@matiere
@akane_kawahata
@lizditz
@kinasato_cap001
@personalfitnes3
@shintochigi1
@abscbnnews

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

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

Top Tweeters in G3:
@matiere
@theresamax
@adekleine
@tyberzannxxxx
@kellyrek
@pray_4truth
@joejaggi
@monitor_ph
@doubleeagle25
@mamalocaz

Top Tweeters in G4:
@tomthunkitsmind
@smc429
@doritmi
@flolake
@msnbc
@nfl
@theatlantic
@nativespecies
@sltrib
@isaiahlcarter

Top Tweeters in G5:
@shintochigi1
@icterume63
@mutoh_z
@tsuka_kazunee
@turututukotokot
@bluesky_parking
@yana_3001
@sgr_kn
@dummyxtweet
@miwa_1107

Top Tweeters in G6:
@personalfitnes3
@noel_hasui
@8000yo
@nevermore_007
@godzillaslays65
@aureliobelandom
@agargmd
@gate_15_analyst
@bettycjung
@andreastoolbox

Top Tweeters in G7:
@monstercoyliar
@mcfunny
@angryfleas
@scjohnston
@nockit1
@wendyorent
@pawley_robert
@andrewlazarus4
@carlsmythe
@skepticalmutant

Top Tweeters in G8:
@akane_kawahata
@kinasato_cap001
@hakofuguf
@otakutokkai
@neko_mimisky
@rx78_01
@haltaq
@area83ontweet
@kurohoshi_p
@kaz_ts

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

Top Tweeters in G10:
@fabiparraguezm
@cristinamachuca
@dragontauro
@turkiantof
@gonzaloxrojas
@mgarcia318
@gabisilandia
@31_cfa
@radioduna
@marceloleiva


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