NCoV, Twitter, 3/14/2023 6:03:35 PM, 291176


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NCoV_2023-03-14_05-45-01.xlsx
NCoV_2023-03-14_05-45-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 14, 2023
Short Description:
NCoV via NodeXL https://bit.ly/409F5Ng
@_2019_ncov
@cdcgov
@nypost
@aubreyel1
@stevebigpond
@who
@bell00david
@doritmi
@nickhudsonct
@villanuevapm

Top hashtags:
#新型コロナウイルス感染症情報
#covid_19
#covid19
#alexandre
#covid
#coronavirus
#練馬区
#코로나19
#예방접종
#기초접종

Description:
Description
The graph represents a network of 4,532 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 12:50 UTC.

The tweets in the network were tweeted over the 1156-day, 11-hour, 0-minute period from Sunday, 12 January 2020 at 12:57 UTC to Monday, 13 March 2023 at 23:57 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 : 4532
Unique Edges : 4862
Edges With Duplicates : 15474
Total Edges : 20336
Number of Edge Types : 9
MentionsInReplyTo : 7935
MentionsInQuoteReply : 657
Replies to : 2784
Retweet : 2426
MentionsInRetweet : 5099
Mentions : 220
Quote : 133
Tweet : 599
MentionsInQuote : 483
Self-Loops : 1101
Reciprocated Vertex Pair Ratio : 0.0448621842924692
Reciprocated Edge Ratio : 0.0858719646799117
Connected Components : 435
Single-Vertex Connected Components : 148
Maximum Vertices in a Connected Component : 2573
Maximum Edges in a Connected Component : 14940
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.788242
Graph Density : 0.000441208869447562
Modularity : 0.380073
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,532 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 12:50 UTC.

The tweets in the network were tweeted over the 1156-day, 11-hour, 0-minute period from Sunday, 12 January 2020 at 12:57 UTC to Monday, 13 March 2023 at 23:57 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:
[343] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[332] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[101] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[95] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[86] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[28] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[27] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[23] https://ncov.kdca.go.kr/
[22] https://www3.nhk.or.jp/news/html/20230308/amp/k10014001231000.html
[22] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html

Top URLs in Tweet in G1:
[17] https://twitter.com/Louan07/status/1634844626778718210/video/1
[15] https://twitter.com/sispeo77/status/1633565619369959424/photo/1
[11] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[8] https://twitter.com/ChomEnterprise/status/1634968727518314497/photo/1
[7] https://twitter.com/marcelalann/status/1634268776488226827/photo/1
[5] https://twitter.com/caimsteff1/status/1633469091397656578
[4] https://twitter.com/scribot_ai/status/1634986149625118721/video/1
[4] https://twitter.com/m38cds/status/1634840782615248901/photo/1
[4] https://twitter.com/barbouillech/status/1625859344104574976/photo/1
[4] https://twitter.com/NaraShi13876794/status/1537914796019855361/photo/1

Top URLs in Tweet in G2:
[4] https://twitter.com/Jena71425143/status/1633791041118564354/photo/1
[2] https://www.youtube.com/watch?v=oA5yFD2hhYA&feature=youtu.be

[2] https://twitter.com/UPR_Asselineau/status/1633055588841127936/photo/1
[2] https://twitter.com/PR93095542/status/1581679610882068481/photo/1
[2] https://twitter.com/Merkaba72/status/1633414724598497280?s=20
[2] https://twitter.com/Merkaba72/status/1633410341148164096?s=20
[2] https://twitter.com/CetiCov19/status/1633248636229304320/photo/1
[2] https://twitter.com/claude_le_moal/status/1634570125201358849/photo/1
[1] https://twitter.com/_2019_nCoV/status/1634470350036647936
[1] https://twitter.com/55Bellechasse/status/1633226914809651201/photo/1

Top URLs in Tweet in G3:
[12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/spheres.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[2] https://twitter.com/CCTHD4/status/1635303592818008064/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://twitter.com/CDCgov/status/1604937231931670528/video/1

Top URLs in Tweet in G4:
[10] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf?sfvrsn=20a99c10_4
[10] https://www.science.org/doi/10.1126/science.abm4454
[2] https://virological.org/t/ncov-2019-spike-protein-receptor-binding-domain-shares-high-amino-acid-identity-with-a-coronavirus-recovered-from-a-pangolin-viral-metagenomic-dataset/362
[2] https://twitter.com/foofu/status/1633917689361055745/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/about-covid-19/antibodies.html
[1] https://www.forbes.com/sites/brucelee/2021/09/05/36-of-those-who-had-covid-19-didnt-develop-antibodies-study-says/?sh=6ae72a5c5f60
[1] https://wwwnc.cdc.gov/eid/article/27/9/21-1042_article
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[1] https://twitter.com/kithercbaby/status/1634613545500545024/photo/1
[1] https://pubmed.ncbi.nlm.nih.gov/32350462/

Top URLs in Tweet in G5:
[336] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[93] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[84] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[9] https://twitter.com/hiroshima_pref/status/1633018395603120128/photo/1
[7] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[6] https://www.catapoke.com/viewer/?open=62b3f
[4] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[2] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/masuku-kangaekata.html
[2] https://twitter.com/kashiwacasc/status/1633762343900553216/photo/1
[1] https://twitter.com/chibaken_kouhou/status/1635113267025809408/photo/1

Top URLs in Tweet in G6:
[328] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[97] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[22] https://www3.nhk.or.jp/news/html/20230308/amp/k10014001231000.html
[22] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[13] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html
[11] https://twitter.com/funwari_fuwari/status/1633324053531611142
[5] https://www.city.imabari.ehime.jp/2019-nCoV/wakuchin/child/R04aki.html
[5] https://twitter.com/konmei30/status/1635229544369225728/photo/1
[5] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html#cms09A35
[4] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html

Top URLs in Tweet in G7:
[9] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/11845-covid19-ab118th.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[4] https://twitter.com/RichmondCity_HD/status/1634268971540140041/photo/1
[4] https://twitter.com/RichmondCity_HD/status/1634269719216771080/photo/1

Top URLs in Tweet in G8:
[9] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1634196702763556865/photo/1
[1] https://twitter.com/ministeriosalud/status/1633105556381614080/photo/1
[1] https://twitter.com/ministeriosalud/status/1633470113042006018/photo/1
[1] https://twitter.com/ministeriosalud/status/1633831155048017924/photo/1
[1] https://twitter.com/ministeriosalud/status/1634554770529632256/photo/1
[1] https://twitter.com/ministeriosalud/status/1632824300246904839/photo/1
[1] https://twitter.com/ministeriosalud/status/1634917158454165507/photo/1
[1] https://twitter.com/ministeriosalud/status/1628757730113585152/photo/1
[1] https://twitter.com/ministeriosalud/status/1635325538305974274/photo/1

Top URLs in Tweet in G9:
[3] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[3] https://twitter.com/mjtimber2/status/1633416497338150912/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://albertahealthservices.ca/assets/info/ppih/if-ppih-ncov-2019-staff-faq.pdf
[2] https://albertahealthservices.ca/assets/info/ppih/if-ppih-covid-19-rapid-review-predictors-of-intubation.pdf
[2] https://nextstrain.org/ncov/gisaid/global/6m
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[1] https://www.mdpi.com/2076-393X/11/2/358
[1] https://twitter.com/Storiesofinjury/status/1633995390704840704/photo/1

Top URLs in Tweet in G10:
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html#:~:text=People%20who%20are%20vaccinated%20with,on%20their%20COVID%2D19%20vaccines
[1] https://www.cdc.gov/coronavirus/2019-ncov/downloads/global-covid-19/Interim-Operational-Considerations-Implementing-Shielding-in-Humanitarian-Settings.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html#:~:text=19%20Vaccines%20Work-,COVID%2D19%20vaccines%20help%20our%20bodies%20develop%20immunity%20to%20the,different%20ways%20to%20offer%20protection
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html#:~:text=All%20currently%20approved%20or%20authorized,and%20the%20people%20around%20them

Top Domains
Top Domains in Tweet in Entire Graph:
[1406] twitter.com
[554] cdc.gov
[359] ibaraki.jp
[216] lg.jp
[69] recombinomics.co
[56] tokyo.jp
[50] who.int
[41] youtube.com
[38] go.jp
[35] gob.es

Top Domains in Tweet in G1:
[368] twitter.com
[17] youtube.com
[11] newspunch.com
[9] threadreaderapp.com
[5] pgibertie.com
[4] touscontribuables.org
[3] bfmtv.com
[3] assemblee-nationale.fr
[3] translate.goog
[2] francetvinfo.fr

Top Domains in Tweet in G2:
[97] twitter.com
[7] youtube.com
[5] crashdebug.fr
[3] threadreaderapp.com
[2] t.me
[2] bonsens.info
[1] substack.com
[1] gov.it
[1] iatranshumanisme.com
[1] reseauinternational.net

Top Domains in Tweet in G3:
[46] cdc.gov
[32] twitter.com
[1] youtube.com
[1] wired.com
[1] reuters.com
[1] nih.gov
[1] who.int

Top Domains in Tweet in G4:
[32] twitter.com
[10] cdc.gov
[10] who.int
[10] science.org
[2] virological.org
[1] forbes.com
[1] nih.gov
[1] bbc.com
[1] apnews.com
[1] substack.com

Top Domains in Tweet in G5:
[345] ibaraki.jp
[179] lg.jp
[32] twitter.com
[6] catapoke.com
[2] cdc.gov

Top Domains in Tweet in G6:
[364] twitter.com
[97] cdc.gov
[45] tokyo.jp
[24] or.jp
[16] lg.jp
[5] ehime.jp
[4] go.jp
[1] ibaraki.jp

Top Domains in Tweet in G7:
[120] twitter.com
[86] cdc.gov
[69] recombinomics.co
[16] go.jp
[13] ibaraki.jp
[13] lg.jp
[8] co.jp
[7] nytimes.com
[5] docguide.com
[5] nih.gov

Top Domains in Tweet in G8:
[9] minsal.cl
[9] twitter.com

Top Domains in Tweet in G9:
[11] cdc.gov
[10] twitter.com
[6] albertahealthservices.ca
[2] nih.gov
[2] nextstrain.org
[1] mdpi.com
[1] google.com
[1] gov.au
[1] who.int
[1] ibb.co

Top Domains in Tweet in G10:
[4] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[335] 新型コロナウイルス感染症情報
[301] covid_19
[219] covid19
[36] alexandre
[26] covid
[23] coronavirus
[22] 練馬区
[18] 코로나19
[18] 예방접종
[18] 기초접종



Top Hashtags in Tweet in G1:
[33] alexandre
[4] pfizer
[3] gardasil
[3] otan
[3] covid_19
[3] kiev
[3] donbass
[3] blackblocs
[3] soignants
[3] reformedesretraites

Top Hashtags in Tweet in G2:
[13] pasnotreeurope
[3] boycottpalaisdetokyo
[2] alexandre
[1] zelenskiwarcriminal
[1] pfizer
[1] henrion
[1] alexandra
[1] retailleau
[1] reformedesretraites
[1] blocagedelafrance

Top Hashtags in Tweet in G3:
[172] covid19
[9] dyk
[9] covid
[4] longcovid
[2] deltavariant
[1] impfung

Top Hashtags in Tweet in G4:
[3] pangolin
[2] ncov_2019
[1] unlikely
[1] windowsxpantivirus
[1] stuxnet
[1] covid19
[1] plasmidgate
[1] recombinant
[1] cov
[1] rbd

Top Hashtags in Tweet in G5:
[334] 新型コロナウイルス感染症情報
[17] 新型コロナ
[15] 広島県
[2] 茨城県

Top Hashtags in Tweet in G6:
[22] 練馬区
[10] 千葉県庁
[5] ワクチン予約情報
[1] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G7:
[25] covid19
[7] cdc
[7] covid
[4] longcovid
[3] 疫情防控
[3] 流感
[3] vaccines
[3] valneva
[3] vla2001
[3] coronavirus

Top Hashtags in Tweet in G8:
[290] covid_19

Top Hashtags in Tweet in G9:
[6] midazolammatt
[1] assistedsuicide
[1] mentalillness

Top Words
Top Words in Tweet in Entire Graph:
[2236] _2019_ncov
[765] covid
[583] casos
[525] co
[426] 19
[339] ncov
[335] qnzux8c1z3
[335] 本日の新規陽性者数
[335] 現在の入院者数
[335] 本日の死亡者

Top Words in Tweet in G1:
[1874] _2019_ncov
[283] c'est
[255] ce
[204] ils
[191] plus
[176] sont
[169] ça
[168] mais
[149] par
[132] tout

Top Words in Tweet in G2:
[287] _2019_ncov
[226] 55bellechasse
[190] yvespdb
[142] basphilippe
[141] alainhoupert
[138] sitting_bull_d
[136] jeanyvescapo
[127] jgalt485
[126] piochel4
[125] rrrrgerard

Top Words in Tweet in G3:
[276] cdcgov
[229] covid
[172] #covid19
[151] long
[122] people
[106] include
[104] common
[103] symptoms
[102] weeks
[101] fatigue

Top Words in Tweet in G4:
[30] dec
[27] 12
[20] jan
[20] 26
[19] notified
[18] coronavirus
[18] timeline
[18] genome
[17] days
[14] 2021

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

Top Words in Tweet in G6:
[82] ということだと個人的には理解しています
[82] きちんとすべき時にはして
[82] 対策の原則は正しく理解して認め
[82] 個人の生活の中では柔軟に対応しましょう
[81] bar1star
[52] 練馬区
[44] 検査
[43] funwari_fuwari
[38] 土
[36] サンライフ練馬

Top Words in Tweet in G7:
[168] covid
[131] ncov
[118] 2019
[88] 19
[73] cases
[70] 1人
[69] recombinomics
[69] increase
[69] inc
[66] deaths

Top Words in Tweet in G8:
[580] casos
[290] fallecidos
[290] activos
[290] nuevos
[290] registrados
[290] 64
[290] #covid_19
[290] informe
[290] diario
[288] marzo

Top Words in Tweet in G9:
[18] covid
[10] vigilantfox
[8] drugs
[8] alberta
[7] cdc
[6] 19
[6] #midazolammatt
[6] dksdata
[5] robinmonotti
[5] talk

Top Words in Tweet in G10:
[7] dirk_fasshauer
[7] workersutopia
[4] hubie0
[4] bluesragdoll
[4] mav_rick_morty8
[4] patricktheb
[4] jh747474
[4] chortling_man
[4] haircutspock
[4] raven4212

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[335] 詳細,co
[335] co,qnzux8c1z3
[327] ibaraki_kouhou,#新型コロナウイルス感染症情報
[290] informe,diario
[290] casos,activos
[290] registrados,64
[290] diario,#covid_19
[290] casos,nuevos
[290] fallecidos,registrados
[287] qnzux8c1z3,検査前で症状がある方

Top Word Pairs in Tweet in G1:
[51] _2019_ncov,jrmesari1
[51] jrmesari1,tronchebiais
[47] _2019_ncov,c'est
[44] _2019_ncov,tronchebiais
[43] maccledou,_2019_ncov
[40] ils,sont
[39] _2019_ncov,qofficiel
[37] centuriesoflies,_2019_ncov
[36] yvespdb,_2019_ncov
[33] exorciste,ses

Top Word Pairs in Tweet in G2:
[138] basphilippe,yvespdb
[133] alainhoupert,jeanyvescapo
[126] 55bellechasse,basphilippe
[124] rrrrgerard,55bellechasse
[121] yvespdb,alainhoupert
[114] jeanyvescapo,tvlcampagnol
[101] tvlcampagnol,verity_france
[98] verity_france,jgalt485
[67] sitting_bull_d,rrrrgerard
[63] 55bellechasse,_2019_ncov

Top Word Pairs in Tweet in G3:
[150] long,covid
[101] fast,heartbeat
[101] breath,fast
[101] brain,fog
[101] shortness,breath
[101] common,symptoms
[101] include,fatigue
[101] heartbeat,brain
[101] fog,several
[101] several,weeks

Top Word Pairs in Tweet in G4:
[11] notified,dec
[11] dec,31
[11] 31,mystery
[11] china,notified
[11] mystery,pneumonia
[10] dec,26
[10] genome,december
[10] 12,days
[10] confirmed,coronavirus
[10] 12,shared

Top Word Pairs in Tweet in G5:
[334] 詳細,co
[334] co,qnzux8c1z3
[326] ibaraki_kouhou,#新型コロナウイルス感染症情報
[286] qnzux8c1z3,検査前で症状がある方
[208] うち重症者,1名
[208] 1名,本日の死亡者
[205] 0名,詳細
[205] 本日の死亡者,0名
[151] 検査前で症状がある方,検査で陽性と判
[105] 検査前で症状がある方,検査で陽性と判明

Top Word Pairs in Tweet in G6:
[82] 対策の原則は正しく理解して認め,きちんとすべき時にはして
[82] 個人の生活の中では柔軟に対応しましょう,ということだと個人的には理解しています
[82] きちんとすべき時にはして,個人の生活の中では柔軟に対応しましょう
[81] bar1star,対策の原則は正しく理解して認め
[36] 小児,11歳
[36] 11,土
[23] 本日のコロナワクチン接種会場,本日
[22] 5類,変更後の感染対策に
[22] 変更後の感染対策に,5つの基本
[22] 検査,治療は有料へ

Top Word Pairs in Tweet in G7:
[111] 2019,ncov
[80] covid,19
[70] covid,cases
[69] recombinomics,inc
[69] cases,increase
[69] ncov,recombinomics
[15] learn,more
[13] coronavirus,2019
[12] deaths,13
[10] sars,cov

Top Word Pairs in Tweet in G8:
[290] casos,nuevos
[290] casos,activos
[290] fallecidos,registrados
[290] informe,diario
[290] diario,#covid_19
[290] registrados,64
[281] ministeriosalud,informe
[134] #covid_19,marzo
[86] 12,fallecidos
[86] activos,12

Top Word Pairs in Tweet in G9:
[8] covid,drugs
[8] alberta,covid
[5] ended,uk
[5] uk,alberta
[5] #midazolammatt,remember
[5] covid,19
[5] robinmonotti,cochranelibrary
[5] remember,ended
[5] talk,#midazolammatt
[4] michaelpbreton,crispr_cas69

Top Word Pairs in Tweet in G10:
[4] muath_5ii,chortling_man
[4] ultraglamma,chillmaxbro
[4] erikhagstrom1,agwraig
[4] mucusmucous,onkelfester
[4] mav_syd,haircutspock
[4] 1pckt,canna420uk
[4] darwintojesus,melanie33720945
[4] archluminous,bluesragdoll
[4] ihonestlydont19,edgezeto
[4] briannazarenus,ihonestlydont19

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@maccledou
@centuriesoflies
@eatcatalf
@5glinky
@55bellechasse
@jrmesari1
@sitting_bull_d
@louan07
@christ24intern1

Top Replied-To in G1:
@_2019_ncov
@maccledou
@centuriesoflies
@eatcatalf
@5glinky
@jrmesari1
@louan07
@nova153
@zippojeje
@lrestistant73

Top Replied-To in G2:
@_2019_ncov
@sitting_bull_d
@christ24intern1
@piochel4
@55bellechasse
@rrrrgerard
@ericairlines1
@partageinfos
@crashdebug_fr
@basphilippe

Top Replied-To in G3:
@danaparish
@kevinha63905012
@paulbetbest
@dokhollidays
@anonykatz2210
@myrabatchelder
@shiralurie
@kenneth33071904
@littleblueinwv
@travoltage1

Top Replied-To in G4:
@kithercbaby
@tierrahenson
@0800_ksmy_ass
@flodebarre
@villanuevapm
@biophysicsfl
@dr_handler
@romulus81212679
@gglinskii
@tonyhinton2016

Top Replied-To in G6:
@kyoutonoinaka
@mikito_777
@n_rem_sleep
@xx_sandbox_xx

Top Replied-To in G9:
@janmariatalar
@storiesofinjury
@anorthantsfan
@mjtimber2
@p_mcculloughmd
@cleshean
@dlerikson1
@_livelovesimply
@raulmiralles4
@blckbrdxx

Top Replied-To in G10:
@pistonsluvr
@giddy_bunny
@bigteethyouhave
@willsworldview
@michael43081938
@adorablepodcast
@deanomartino1

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@ibaraki_kouhou
@ministeriosalud
@cdcgov
@55bellechasse
@yvespdb
@jeanyvescapo
@alainhoupert
@basphilippe
@jgalt485

Top Mentioned in G1:
@_2019_ncov
@tronchebiais
@jrmesari1
@yvespdb
@55bellechasse
@louan07
@jaimehorta17
@qofficiel
@zyrs10
@centuriesoflies

Top Mentioned in G2:
@55bellechasse
@_2019_ncov
@yvespdb
@alainhoupert
@basphilippe
@jeanyvescapo
@sitting_bull_d
@jgalt485
@rrrrgerard
@piochel4

Top Mentioned in G3:
@cdcgov
@minorityhealth
@bag_ofsp_ufsp
@vdhgov
@us_fda
@burkhardtphilip
@luckytran
@hhsgov
@valeriejay16
@flsurgeongen

Top Mentioned in G4:
@pawley_robert
@kathmarval
@burgerlab12
@mcfunny
@batresearch
@takethatct
@michaelworobey
@rw_christian
@richykirsh

Top Mentioned in G5:
@ibaraki_kouhou
@chibaken_kouhou
@hiroshima_pref
@kashiwacasc
@keyaki1117
@bar1star

Top Mentioned in G6:
@bar1star
@funwari_fuwari
@hiroshi_tsuji
@kenko_de_nerima
@atsushimiyahara
@konmei30
@mikito_777
@ooaminavi
@5ovduyydfufl2ex
@way2justice2

Top Mentioned in G7:
@fourthdose

Top Mentioned in G8:
@ministeriosalud

Top Mentioned in G9:
@vigilantfox
@dksdata
@robinmonotti
@cochranelibrary
@dineshdsouza
@rwmalonemd
@djokernole
@shevi_sloane
@dowdedward
@almalienlivesm1

Top Mentioned in G10:
@dirk_fasshauer
@workersutopia
@raven4212
@pray2pesci
@felix_cat7
@megafant1
@lemmabarkaloo
@darkcowboygod
@andrewrchapman

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@matiere
@toneunga3
@st01_madox
@personalfitnes3
@inquirerdotnet
@sonialavera
@kokusizu2
@limportant_fr

Top Tweeters in G1:
@threadreaderapp
@sonialavera
@botliberalisme
@guardian
@minilicorne69
@bfmtv
@lenine13
@mazenod10
@ladevita12
@danubaud

Top Tweeters in G2:
@altai_armande
@mariabadin18
@bo_chart
@yvespdb
@william85837998
@pilotte_daniel
@gerardfiloche
@jakopasto1
@peneloppe192
@veritebeaute

Top Tweeters in G3:
@katcapps
@adekleine
@lorettabower3
@tyberzannxxxx
@rleas
@wtf_imtooold
@thinkkimthink
@celestebyrne3
@brendaweese
@prpeep

Top Tweeters in G4:
@adevotedyogi
@abcnews
@doritmi
@freethinkfacts
@monstercoyliar
@takethatct
@mcfunny
@breezergalway
@angryfleas
@wjack76995

Top Tweeters in G5:
@toneunga3
@shintochigi1
@atsushi48shm410
@fairyaoi
@tiiduka
@mutoh_z
@lapis777
@takanasiayame
@tsuka_kazunee
@cv_tatsunosuke

Top Tweeters in G6:
@st01_madox
@kokusizu2
@caras_1989
@hakofuguf
@otakutokkai
@mark__lp
@fastech360x
@nancy_moon_1789
@nurupo889
@pantyosu

Top Tweeters in G7:
@matiere
@personalfitnes3
@drunkunclep
@didaclopez
@huffpostpol
@irlandia
@dianestraley
@bettycjung
@yu2kama
@sherrychiyohime

Top Tweeters in G8:
@siquieresmelees
@janecarvajal
@turkiantof
@laporres
@ellaresponde
@gonzaloxrojas
@mgarcia318
@negravillana
@pablolabarcac
@carlos67360447

Top Tweeters in G9:
@sandoly
@joe_warmington
@xoplanetmother
@backtolife_2023
@michaelpbreton
@dineshdsouza
@sophiadahl1
@rupasubramanya
@gbnews
@dowdedward

Top Tweeters in G10:
@thereseosulliv2
@vickie627
@vincegottalotta
@42gnome
@zypisfy
@lemmabarkaloo
@deplorablenew
@cern_lxxl
@fwe1991
@deanomartino1


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