NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

NCoV_2023-01-13_02-08-55.xlsx (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
NodeXLExcelAutomator
Uploaded on:
January 13, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3CMqo9L
@luckytran
@julienm__
@swords_mr
@cdcgov
@bricolix
@victorlicata1
@rwmalonemd
@donnademaria1
@mindfeast622
@_2019_ncov

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

Description:
Description
The graph represents a network of 5,562 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 10:12 UTC.

The tweets in the network were tweeted over the 1096-day, 8-hour, 50-minute period from Sunday, 12 January 2020 at 16:09 UTC to Friday, 13 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 : 5562
Unique Edges : 4671
Edges With Duplicates : 13951
Total Edges : 18622
Number of Edge Types : 9
Retweet : 3615
MentionsInRetweet : 5264
Replies to : 1630
MentionsInReplyTo : 7301
Tweet : 445
Mentions : 137
Quote : 43
MentionsInQuote : 23
MentionsInQuoteReply : 164
Self-Loops : 822
Reciprocated Vertex Pair Ratio : 0.0320472274931478
Reciprocated Edge Ratio : 0.0621041879468846
Connected Components : 437
Single-Vertex Connected Components : 122
Maximum Vertices in a Connected Component : 3759
Maximum Edges in a Connected Component : 14242
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.316196
Graph Density : 0.000316518291039183
Modularity : 0.459538
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,562 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 10:12 UTC.

The tweets in the network were tweeted over the 1096-day, 8-hour, 50-minute period from Sunday, 12 January 2020 at 16:09 UTC to Friday, 13 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:
[187] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[177] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[107] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[83] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[62] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[61] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[52] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[50] https://www.nejm.org/doi/full/10.1056/NEJMoa2211029
[50] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/vaccine-safety-children-teens.html
[45] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html

Top URLs in Tweet in G1:
[17] 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://nextstrain.org/ncov/gisaid/global/all-time?l=scatter&scatterY=S1_mutations
[2] https://twitter.com/madistod/status/1593373012631425028/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/your-health/free-masks.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/luckytran/status/1612301590337044482
[1] https://twitter.com/sunnysideyards/status/1612795342470418435

Top URLs in Tweet in G2:
[30] https://www.zerohedge.com/markets/cdc-finally-releases-vaers-safety-monitoring-analyses-covid-vaccines
[2] https://twitter.com/482O147O78O87/status/1613489582032687108/photo/1
[1] https://newspunch.com/bill-gates-vows-to-pump-mrna-into-food-supply-to-force-jab-the-unvaccinated/
[1] https://twitter.com/JulienM__/status/1601937037501861889/video/1
[1] https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.122.061025
[1] https://twitter.com/Dr34dLion/status/1613622523660275715/photo/1
[1] https://twitter.com/Samuelleumas113/status/1613282761913032704/photo/1
[1] https://twitter.com/Joynad2/status/1613513630300913665/photo/1
[1] https://twitter.com/Joynad2/status/1613513168516517890/photo/1
[1] https://rwmalonemd.substack.com/p/mrna-vaccines-in-livestock-and-companion

Top URLs in Tweet in G3:
[12] https://twitter.com/GaelianPrincess/status/1613259773322862608/photo/1
[8] https://twitter.com/THEFLOWER008/status/1612936685507022849?t=i6tTTepcBrh9fdz9SFx8Pw&s=19
[3] https://twitter.com/CsapeForce/status/1601891984297582593/photo/1
[3] https://twitter.com/Louan07/status/1612411274679259136/photo/1
[2] https://twitter.com/_2019_nCoV/status/1612524297800540181/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[2] https://twitter.com/andrew_rudick/status/1613251724374069248/photo/1
[2] https://odysee.com/@Reinformations:7/La-Mafia-Khazar-Rothschild:bf?src=embed&t
[2] https://www.zerohedge.com/markets/cdc-finally-releases-vaers-safety-monitoring-analyses-covid-vaccines
[2] https://twitter.com/p_duval/status/1612710087105327105/photo/1

Top URLs in Tweet in G4:
[105] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety.html
[4] 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.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/hospitalizations-forecasts.html
[1] https://cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[1] https://twitter.com/SMCHD_gov/status/1613536287381766144/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html

Top URLs in Tweet in G5:
[113] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[3] https://twitter.com/swords_mr/status/1613338219428433921/photo/1
[2] https://www.zerohedge.com/markets/cdc-finally-releases-vaers-safety-monitoring-analyses-covid-vaccines
[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
[2] https://twitter.com/whstancil/status/1612580053530943489/photo/1
[2] https://www.theatlantic.com/health/archive/2023/01/damar-hamlin-cardiac-arrest-covid-anti-vaccine-heart-theories/672644/
[2] https://nextstrain.org/ncov/gisaid/global/6m
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html
[1] https://twitter.com/P_McCulloughMD/status/1612638370160672771

Top URLs in Tweet in G6:
[2] https://twitter.com/thevivafrei/status/1613012335118917632/photo/1
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[1] https://twitter.com/thevivafrei/status/1613012335118917632
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/epi/covid-19-vaccine-uptake-ontario-epi-summary.pdf
[1] https://twitter.com/Golden_Pup/status/1613351000819257346/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[1] https://twitter.com/songpinganq/status/1612152549209165824
[1] https://www.sciencedirect.com/science/article/pii/S1052305721003414
[1] https://nextstrain.publichealthontario.ca/ncov
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/epi/covid-19-sars-cov2-whole-genome-sequencing-epi-summary.pdf?rev=d79bab926ac64b57862d6a6158a3d525&sc_lang=fr

Top URLs in Tweet in G7:
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.htmlz
[1] https://www.transportation.gov/NRSS/SafetyProblem
[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/vaccines/different-vaccines/overview-COVID-19-vaccines.html
[1] https://twitter.com/ShawnHereth/status/1612546229560565766/photo/1
[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:
[44] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[13] https://www.pref.chiba.lg.jp/kenfuku/kenkoufukushi/register-positive.html
[13] https://www.pref.chiba.lg.jp/kenfuku/kenkoufukushi/register-positive-jushinsya.html
[4] https://twitter.com/birdlover02122/status/1613184917135052800/photo/1
[3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[3] https://twitter.com/ooaminavi/status/1612773890438361090/photo/1
[2] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[2] https://twitter.com/ooaminavi/status/1613320749594595330/photo/1
[2] https://twitter.com/ooaminavi/status/1612772740314042368/photo/1
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/230112level-ikou.html

Top URLs in Tweet in G9:
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://c11.kr/196gt
[7] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/230112level-ikou.html
[6] https://ncv.kdca.go.kr/ncov
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[4] https://twitter.com/blurmyu/status/1612746778444693504/photo/1
[4] https://twitter.com/blurmyu/status/1613506899621867523/photo/1

Top URLs in Tweet in G10:
[175] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[52] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[5] 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
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1613432906365685762/photo/1
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220805_teireikaiken.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1557675107144777729/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1612701581950214144/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1611990161180745728/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[995] cdc.gov
[563] twitter.com
[189] ibaraki.jp
[156] lg.jp
[51] nejm.org
[48] recombinomics.co
[46] nih.gov
[40] go.jp
[40] publichealthontario.ca
[38] zerohedge.com

Top Domains in Tweet in G1:
[29] cdc.gov
[14] twitter.com
[2] nextstrain.org

Top Domains in Tweet in G2:
[30] zerohedge.com
[25] twitter.com
[2] odysee.com
[1] newspunch.com
[1] ahajournals.org
[1] substack.com
[1] issues.fr

Top Domains in Tweet in G3:
[102] twitter.com
[6] cdc.gov
[4] youtube.com
[2] pgibertie.com
[2] odysee.com
[2] zerohedge.com
[1] tvanouvelles.ca
[1] blick.ch
[1] eviemagazine.com
[1] nih.gov

Top Domains in Tweet in G4:
[145] cdc.gov
[20] twitter.com
[1] vaccines.gov
[1] newswise.com
[1] substack.com
[1] youtube.com
[1] jns-journal.com
[1] shha.re
[1] zerohedge.com

Top Domains in Tweet in G5:
[129] cdc.gov
[28] twitter.com
[3] substack.com
[3] theatlantic.com
[2] zerohedge.com
[2] nextstrain.org
[1] dailyclout.io
[1] worldometers.info
[1] nih.gov
[1] nytimes.com

Top Domains in Tweet in G6:
[12] twitter.com
[10] publichealthontario.ca
[2] cdc.gov
[1] sciencedirect.com
[1] nih.gov
[1] archive.ph
[1] thestar.com

Top Domains in Tweet in G7:
[13] cdc.gov
[2] twitter.com
[1] transportation.gov
[1] nhs.uk
[1] who.int
[1] europa.eu

Top Domains in Tweet in G8:
[80] lg.jp
[17] twitter.com
[3] tokyo.jp

Top Domains in Tweet in G9:
[104] cdc.gov
[67] twitter.com
[48] recombinomics.co
[18] go.kr
[16] lg.jp
[8] c11.kr
[6] ibaraki.jp
[6] gob.es
[4] sip21c.org
[4] co.jp

Top Domains in Tweet in G10:
[183] ibaraki.jp
[53] lg.jp
[10] twitter.com
[4] catapoke.com
[1] go.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1196] longcovid
[176] 新型コロナウイルス感染症情報
[140] covid_19
[71] covid19
[51] damarhamlin
[49] commotiocordis
[49] vaccineinjury
[10] 練馬区
[9] 코로나19
[9] 예방접종



Top Hashtags in Tweet in G1:
[1130] longcovid
[1] wearamask
[1] bringbackmasks

Top Hashtags in Tweet in G2:
[1] chemtrails
[1] arrestbillgates
[1] mauricette
[1] effetsindesirables
[1] effetssecondairesvaccins
[1] effetssecondairesvaccins19
[1] stopbillgates
[1] nuremberg
[1] nouvelordremondial

Top Hashtags in Tweet in G3:
[3] covid_19
[2] france
[2] ivermectine
[1] obama
[1] biden
[1] zelensky
[1] blackbloc
[1] wef
[1] davos
[1] donetsk

Top Hashtags in Tweet in G4:
[27] covid19
[4] vaxfact
[2] covid19vaccine
[2] longcovid
[2] astrazeneca
[1] boostyourprotection
[1] travel
[1] cdc
[1] internationaltravel
[1] fightflu

Top Hashtags in Tweet in G5:
[51] damarhamlin
[49] commotiocordis
[49] vaccineinjury
[2] myocarditis
[2] collapsingathletes
[1] courageousdiscourse
[1] vaccinedeath
[1] 韓國
[1] 新冠病毒
[1] 嚴格措施

Top Hashtags in Tweet in G8:
[10] 練馬区
[3] 千葉県庁

Top Hashtags in Tweet in G9:
[8] covid19
[4] 안전안내
[4] 의정부시청
[4] 안전안내문자
[4] 재난문자
[3] beashotcaller
[3] covid19treatments
[3] covid19medications
[3] health4todos
[2] blackhealth

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

Top Words
Top Words in Tweet in Entire Graph:
[1497] cdc
[1223] website
[1196] #longcovid
[1170] prevent
[1166] luckytran
[1165] take
[1161] vaccin
[1157] individuals
[1157] julienm__
[1149] actions

Top Words in Tweet in G1:
[1149] luckytran
[1147] cdc
[1145] website
[1130] #longcovid
[1129] lists
[1129] prevent
[1129] unbelievable
[1129] individuals
[1129] include
[1129] take

Top Words in Tweet in G2:
[1125] julienm__
[756] non
[755] gates
[751] bill
[749] vaccinés
[747] promet
[746] alimentaire
[746] l'arnm
[746] forcer
[745] pomper

Top Words in Tweet in G3:
[255] _2019_ncov
[48] c'est
[40] jlmelenchon
[40] crashdebug_fr
[39] sitting_bull_d
[38] didiermaisto
[36] zemmoureric
[36] j_bardella
[36] emmanuelmacron
[35] non

Top Words in Tweet in G4:
[265] cdcgov
[152] covid
[147] 19
[106] go
[105] cases
[105] acknowledged
[105] 80
[105] undetected
[104] flsurgeongen
[99] show

Top Words in Tweet in G5:
[259] one
[146] possible
[95] myocarditis
[85] commotio
[84] cordis
[83] vaccinated
[80] more
[72] eliminated
[71] proof
[71] without

Top Words in Tweet in G6:
[160] vaccine
[159] 19
[159] covid
[107] available
[107] uptake
[106] low
[106] delightfully
[106] sits
[106] old
[106] july

Top Words in Tweet in G7:
[9] aspalaasnasntyr
[9] wendyorent
[9] jtmayes3
[9] idunsdaughter
[9] barryjohnreid21
[9] maureenstroud
[9] tomsirolimus
[9] reacharoundu
[9] provaxtexan
[9] monstercoyliar

Top Words in Tweet in G8:
[137] chibaken_kouhou
[56] 新規感染者数の増加に伴い
[56] 感染レベルの引上げについて
[56] 救急搬送困難事案が増加するなど保健医療への負荷が高まっていることを踏まえ
[56] 本日から感染の状況や医療ひっ迫の状況等を評価するレベル分類について
[55] レベル3の医療負荷増大期に移行する
[44] 県ホームページの更新は翌日になります
[44] の新型コロナウイルス感染症の情報
[44] 詳細データについてはこちらからご覧ください
[44] 新規感染者数

Top Words in Tweet in G9:
[155] covid
[96] 19
[67] ncov
[63] 2019
[49] inc
[49] cases
[48] recombinomics
[46] increase
[44] deaths
[35] updated

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

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1183] cdc,website
[1147] website,lists
[1146] individuals,take
[1146] prevent,#longcovid
[1146] take,prevent
[1146] unbelievable,cdc
[1146] #longcovid,include
[1146] lists,actions
[1146] actions,individuals
[1145] include,vaccin

Top Word Pairs in Tweet in G1:
[1145] cdc,website
[1129] lists,actions
[1129] actions,individuals
[1129] prevent,#longcovid
[1129] #longcovid,include
[1129] take,prevent
[1129] individuals,take
[1129] unbelievable,cdc
[1129] website,lists
[1128] include,vaccin

Top Word Pairs in Tweet in G2:
[747] non,vaccinés
[747] bill,gates
[745] gates,promet
[745] pomper,l'arnm
[745] l'arnm,l'approvisionnement
[745] alimentaire,forcer
[745] forcer,non
[745] l'approvisionnement,alimentaire
[745] promet,pomper
[744] julienm__,bill

Top Word Pairs in Tweet in G3:
[38] jlmelenchon,didiermaisto
[36] didiermaisto,zemmoureric
[36] zemmoureric,j_bardella
[31] j_bardella,emmanuelmacron
[30] emmanuelmacron,royalsegolene
[25] bill,gates
[22] sitting_bull_d,crashdebug_fr
[21] statchriscotton,yaelbraunpivet
[21] idrissaberkane,upr_asselineau
[21] mathieu_gallet,mazzocchinjrme1

Top Word Pairs in Tweet in G4:
[132] covid,19
[105] go,undetected
[105] cdcgov,acknowledged
[105] 19,cases
[105] acknowledged,80
[105] cases,go
[105] 80,covid
[104] flsurgeongen,cdcgov
[97] testing,requirement
[97] macau,required

Top Word Pairs in Tweet in G5:
[84] commotio,cordis
[75] vaccinated,myocarditis
[68] cordis,one
[68] myocarditis,one
[67] number,occurrence
[67] large,number
[67] occurrence,vaccinated
[66] eliminated,without
[66] arbitrarily,eliminated
[66] without,proof

Top Word Pairs in Tweet in G6:
[158] covid,19
[153] 19,vaccine
[107] vaccine,uptake
[106] widely,available
[106] year,old
[106] july,covid
[106] being,widely
[106] sits,delightfully
[106] uptake,year
[106] delightfully,low

Top Word Pairs in Tweet in G7:
[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 G8:
[56] 新規感染者数の増加に伴い,救急搬送困難事案が増加するなど保健医療への負荷が高まっていることを踏まえ
[56] 感染レベルの引上げについて,新規感染者数の増加に伴い
[56] 救急搬送困難事案が増加するなど保健医療への負荷が高まっていることを踏まえ,本日から感染の状況や医療ひっ迫の状況等を評価するレベル分類について
[55] 本日から感染の状況や医療ひっ迫の状況等を評価するレベル分類について,レベル3の医療負荷増大期に移行する
[55] chibaken_kouhou,感染レベルの引上げについて
[44] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日になります
[44] の新型コロナウイルス感染症の情報,新規感染者数
[40] 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
[40] 換気,必要な場面でのマスク着用など
[40] 症状がある場合は出勤や外出を控える,換気

Top Word Pairs in Tweet in G9:
[86] covid,19
[58] 2019,ncov
[48] recombinomics,inc
[48] ncov,recombinomics
[46] cases,increase
[45] covid,cases
[27] website,updated
[27] updated,visit
[25] english,website
[10] 19,vaccines

Top Word Pairs in Tweet in G10:
[176] 詳細,co
[174] qnzux8c1z3,検査前で症状がある方
[174] co,qnzux8c1z3
[170] ibaraki_kouhou,#新型コロナウイルス感染症情報
[120] 21名,本日の死亡者
[120] うち重症者,21名
[109] 検査前で症状がある方,検査
[63] 現在の入院者数,623名
[63] 623名,うち重症者
[63] #新型コロナウイルス感染症情報,1月12日

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@julienm__
@debateonfacts
@swords_mr
@sitting_bull_d
@takatitaki_t
@pirouette15
@nagualquetzal
@hansgruber_dh
@roper_lab

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

Top Replied-To in G2:
@julienm__
@_2019_ncov
@takatitaki_t
@pirouette15
@ep1com
@muchparmentier
@anthonyzlov
@fart47404663
@samcityworld
@chanelleeliza

Top Replied-To in G3:
@_2019_ncov
@sitting_bull_d
@gerardfiloche
@snd1805
@55bellechasse
@qi_181
@partageinfos
@didiercoquard2
@louan07
@julienm__

Top Replied-To in G4:
@marionawfal
@cdcgov
@rutherfordrocks
@thewhn
@_derekpaul
@gnatsssssss
@pepperbites
@trumpgirl_67
@stkirsch
@drericding

Top Replied-To in G5:
@swords_mr
@hansgruber_dh
@roper_lab
@backtolife_2023
@rachellefriedm2
@ultrawave5
@kimmer4444
@whstancil
@drumkit13j
@_dustinwright_

Top Replied-To in G6:
@vickersty
@golden_pup
@dylanleigh03
@xwhiskeywillx
@bruce_arthur

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

Top Mentioned
Top Mentioned in Entire Graph:
@luckytran
@julienm__
@_2019_ncov
@verity_france
@planetes360
@tatiann69922625
@pierrejovanovic
@fart47404663
@michelstarr001
@cdcgov

Top Mentioned in G1:
@luckytran
@mehdirhasan
@avi_bueno
@sunnysideyards
@mandatemasksus
@myrabatchelder
@papaworm
@madistod
@dgbassani
@cynnaael

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

Top Mentioned in G3:
@_2019_ncov
@jlmelenchon
@crashdebug_fr
@didiermaisto
@emmanuelmacron
@zemmoureric
@j_bardella
@royalsegolene
@sitting_bull_d
@julienm__

Top Mentioned in G4:
@cdcgov
@flsurgeongen
@lazaruslong13
@drericding
@stkirsch
@jakescottmd
@thewhn
@snhdinfo
@davidcwillisusa
@meltedmindz

Top Mentioned in G5:
@coywire
@blackknight10k
@diamondandsilk
@p_mcculloughmd
@catturd2
@nfl
@ctvedmonton
@rs_tweets123
@tuckercarlson
@ingrahamangle

Top Mentioned in G6:
@golden_pup
@rupasubramanya
@publichealthon
@nnk1776
@thevivafrei
@barnes_law
@rekietalaw
@bruce_arthur
@torontostar
@jessicarobb_

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

Top Mentioned in G8:
@chibaken_kouhou
@kumagai_chiba
@kenko_de_nerima
@triangle24

Top Mentioned in G9:
@johnspacedow
@clubfmphilly

Top Mentioned in G10:
@ibaraki_kouhou
@hiroshima_pref
@chibaken_kouhou
@toukai4312

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@rk70534
@matiere
@akane_kawahata
@m2bliquis
@littlebytesnews
@lizditz
@sandradunn1955
@lyndae222
@kinasato_cap001

Top Tweeters in G1:
@rk70534
@lizditz
@sar_oso
@deepvard
@jmramos1701d
@morgfair
@roripierpont1
@frackhazreveal
@cmargaronis
@njdoc

Top Tweeters in G2:
@m2bliquis
@lopezdominique2
@barberis888
@william85837998
@johndartois
@josmirek
@evelyneyant94
@baixsegura_es
@jackimbe
@kitty_maggy

Top Tweeters in G3:
@bfmtv
@yvespdb
@brunedrot
@afpfr
@gerardfiloche
@cnews
@chriss17031
@babibelle33
@bourgeoiseliane
@tabletc4

Top Tweeters in G4:
@theresamax
@adekleine
@tyberzannxxxx
@nozakitakehide
@kellyrek
@pray_4truth
@monitor_ph
@doubleeagle25
@mkjkimk
@muddyinpb

Top Tweeters in G5:
@tomthunkitsmind
@smc429
@doritmi
@flolake
@msnbc
@nfl
@theatlantic
@nativespecies
@sltrib
@isaiahlcarter

Top Tweeters in G6:
@lyndae222
@torontostar
@bruce_arthur
@bcgift
@gym2lift
@barnes_law
@nick29433777
@darrenbellreads
@southendsimpson
@contriteship89

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

Top Tweeters in G8:
@kakitama
@inaxcenter
@ohtsune2nd
@yukemuri_exp
@bluesky_parking
@yana_3001
@hama2tom
@hiroki1970
@yabuyabu987
@miwa_1107

Top Tweeters in G9:
@matiere
@personalfitnes3
@tikutaku
@somari_9999
@8000yo
@nevermore_007
@aureliobelandom
@agargmd
@bettycjung
@nelofartach

Top Tweeters in G10:
@shintochigi1
@icterume63
@mutoh_z
@gosicmgne_legen
@tsuka_kazunee
@turututukotokot
@sgr_kn
@shimanami_exp
@contaxndigital
@madabou


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.