NCoV, Twitter, 3/7/2023 1:59:08 PM, 290532
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NCoV_2023-03-07_05-45-01.xlsx
NCoV_2023-03-07_05-45-01.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
March 07, 2023
Short Description:
NCoV via NodeXL PERMANENTLY_REMOVED
@_2019_ncov
@cdcgov
@elonmusk
@lipsoflight
@potus
@realdonaldtrump
@sitting_bull_d
@julienm__
@leelasik
@vigilantfox

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

Description:
Description
The graph represents a network of 5,235 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 13:50 UTC.

The tweets in the network were tweeted over the 3573-day, 8-hour, 19-minute period from Friday, 24 May 2013 at 16:33 UTC to Tuesday, 07 March 2023 at 00:53 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 : 5235
Unique Edges : 4181
Edges With Duplicates : 12901
Total Edges : 17082
Number of Edge Types : 9
Retweet : 3314
MentionsInRetweet : 4779
MentionsInReplyTo : 5611
Replies to : 1786
MentionsInQuoteReply : 353
Quote : 54
Tweet : 711
Mentions : 218
MentionsInQuote : 256
Self-Loops : 1177
Reciprocated Vertex Pair Ratio : 0.0509578544061303
Reciprocated Edge Ratio : 0.0969741159314619
Connected Components : 600
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 2787
Maximum Edges in a Connected Component : 10153
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.676453
Graph Density : 0.000300328576762254
Modularity : 0.447758
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,235 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 13:50 UTC.

The tweets in the network were tweeted over the 3573-day, 8-hour, 19-minute period from Friday, 24 May 2013 at 16:33 UTC to Tuesday, 07 March 2023 at 00:53 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:
[454] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[272] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[138] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[129] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[126] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[75] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[68] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[36] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[34] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[33] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html

Top URLs in Tweet in G1:
[15] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[7] https://www.theepochtimes.com/congress-prepares-to-investigate-covid-19-vaccines_5073380.html?utm_source=morningbriefnoe&src_src=morningbriefnoe&utm_campaign=mb-2023-02-23&src_cmp=mb-2023-02-23&utm_medium=email&est=m54%2FFb7dqQV6Fj%2BwcW7rVe%2FFL9fXpqfs6XOP2g2t76w7mI8MtPDLWE%2FspNkCGqkCn0TCqXjD5KH%2F
[5] https://twitter.com/bigdav25597197/status/1629756428998127617/video/1
[4] https://twitter.com/_2019_nCoV/status/1629570733801193475/photo/1
[4] https://twitter.com/GaelianPrincess/status/1629588351773732865/photo/1
[3] https://newspunch.com/moderna-us-government-received-400-million-in-mrna-royalty-payments/
[3] https://twitter.com/AmeFCNImFCN/status/1629647981187137540/photo/1
[2] https://twitter.com/AmeFCNImFCN/status/1629647822747234305/photo/1
[2] https://twitter.com/Thierry71962611/status/1632861014768205824/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html?fbclid=IwAR30q59M1D0i4qY9XZpG7AIpE8ktvkfMOKxVqWFsXeIGknHQFHyDbf7XUi0#print

Top URLs in Tweet in G2:
[6] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html#when-you-can-get-booster
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[2] http://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html
[1] https://twitter.com/CDCgov/status/1632773120170901504/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq-children.html
[1] https://twitter.com/CDCgov/status/1471174472963178498/photo/1
[1] https://twitter.com/CDCgov/status/1630236390033088513/photo/1

Top URLs in Tweet in G3:
[257] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[9] https://newspunch.com/moderna-us-government-received-400-million-in-mrna-royalty-payments/
[1] https://twitter.com/JulienM__/status/1601937037501861889/video/1
[1] https://newspunch.com/bill-gates-arrest-warrant-issued-in-philippines-for-premeditated-murder-linked-to-vaccine-roll-out/
[1] https://www.thegatewaypundit.com/2023/02/fda-reveals-rare-possibly-fatal-neurological-disorder-is-a-potential-risk-with-new-pfizer-vaccine/
[1] https://pharmafiles.substack.com/p/did-the-shit-just-hit-the-fan-in
[1] https://www.theepochtimes.com/congress-prepares-to-investigate-covid-19-vaccines_5073380.html?utm_source=morningbriefnoe&src_src=morningbriefnoe&utm_campaign=mb-2023-02-23&src_cmp=mb-2023-02-23&utm_medium=email&est=m54%2FFb7dqQV6Fj%2BwcW7rVe%2FFL9fXpqfs6XOP2g2t76w7mI8MtPDLWE%2FspNkCGqkCn0TCqXjD5KH%2F
[1] https://twitter.com/Louan07/status/1586817780204158987/video/1
[1] https://twitter.com/Louan07/status/1631970064940277760/photo/1
[1] https://twitter.com/bigdav25597197/status/1629756428998127617/video/1

Top URLs in Tweet in G4:
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[2] https://twitter.com/thehodlpatriot/status/1631277326989156352/photo/1
[2] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[2] https://web.archive.org/web/20200521113035/https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[1] https://dailyclout.io/now-published-in-the-peer-reviewed-scientific-literature-the-mrna-vaccines-are-neither-safe-nor-effective-but-outright-dangerous/
[1] https://twitter.com/i/web/status/1632409213166026752

Top URLs in Tweet in G5:
[13] https://www.cdc.gov/coronavirus/2019-ncov/php/hd-breakthrough.html
[1] https://twitter.com/SHomburg/status/1630249965086810115/photo/1
[1] https://twitter.com/SHomburg/status/1630248827772088320/photo/1
[1] https://twitter.com/SHomburg/status/1630244473040175105/photo/1
[1] https://de.statista.com/statistik/daten/studie/1100818/umfrage/todesfaelle-aufgrund-des-coronavirus-2019-ncov-nach-laendern/
[1] Https://www.cdc.gov/coronavirus/2019-ncov/php/hd-breakthrough.html
[1] https://twitter.com/dhbfjsdn/status/1631010587336491008/photo/1
[1] https://twitter.com/dhbfjsdn/status/1631008287964495872/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[1] https://www.medizin.uni-halle.de/news/umprogrammierung-von-immunzellen-bei-long-covid

Top URLs in Tweet in G6:
[10] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[6] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html?utm_source=CDC+-+Vaccination+Effectiveness+
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/testing/self-testing.html?utm_source=TWITTER
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html?CDC_AA_refVal=https://www.cdc.gov/coronavirus/index.html

Top URLs in Tweet in G7:
[3] https://www.pnas.org/doi/10.1073/pnas.2002589117
[3] https://www.biorxiv.org/content/10.1101/2020.03.02.972935v1
[3] https://www.mja.com.au/system/files/2020-03/caly%20et%20al%20mja20.00186_preprint.pdf
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[1] https://twitter.com/Doctor_Eric_B/status/1630278670005723139/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html
[1] https://pubmed.ncbi.nlm.nih.gov:443/35833668/
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G8:
[19] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_661_COVID-19.pdf
[12] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230224.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/pbiVacunacion.htm
[3] https://www.vacunacovid.gob.es/
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230210.pdf
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230217.pdf
[2] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_660_COVID-19.pdf
[2] https://twitter.com/sanidadgob/status/1631637729770446850/photo/1

Top URLs in Tweet in G9:
[114] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[17] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[10] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/0313mask.html
[3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/status.html
[3] https://www.city.katsushika.lg.jp/kenkou/1000050/1027748/1027875/1026599.html
[2] https://twitter.com/funwari_fuwari/status/1631229665313710080/photo/1
[2] https://www.city.koto.lg.jp/291101/sessyujoukyou.html
[2] https://www.city.shinagawa.tokyo.jp/PC/kuseizyoho/kuseizyoho-koho/kuseizyoho-koho-sonota/vaccine_meter.html
[2] https://www.city.ota.tokyo.jp/cyuumokujoho/infection/covid19_wakuchin/sessyu_joukyou/sessyuzyoukyou.html
[2] https://www.city.setagaya.lg.jp/mokuji/fukushi/003/005/006/013/003/d00191789.html

Top URLs in Tweet in G10:
[449] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[126] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[120] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[10] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[10] https://www.catapoke.com/viewer/?open=62b3f
[4] https://twitter.com/ooaminavi/status/1631089908067729409/photo/1
[3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[2] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/vaccine_nv_1.html
[2] https://twitter.com/ooaminavi/status/1632871260672884737/photo/1
[2] https://twitter.com/ooaminavi/status/1630345865281040385/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[968] cdc.gov
[873] twitter.com
[474] ibaraki.jp
[318] lg.jp
[285] newspunch.com
[74] recombinomics.co
[59] tokyo.jp
[57] gob.es
[56] who.int
[41] substack.com

Top Domains in Tweet in G1:
[118] twitter.com
[18] newspunch.com
[10] threadreaderapp.com
[7] theepochtimes.com
[5] youtube.com
[5] pgibertie.com
[4] cdc.gov
[3] t.me
[1] thegatewaypundit.com
[1] globalresearch.ca

Top Domains in Tweet in G2:
[44] cdc.gov
[25] twitter.com
[1] nextstrain.org
[1] go.jp
[1] bvsalud.org

Top Domains in Tweet in G3:
[267] newspunch.com
[4] twitter.com
[1] thegatewaypundit.com
[1] substack.com
[1] theepochtimes.com
[1] cdc.gov

Top Domains in Tweet in G4:
[26] cdc.gov
[16] twitter.com
[2] archive.org
[1] dailyclout.io
[1] sciencedirect.com
[1] nature.com
[1] substack.com
[1] reuters.com
[1] squarespace.com
[1] thelancet.com

Top Domains in Tweet in G5:
[16] cdc.gov
[6] twitter.com
[1] statista.com
[1] uni-halle.de
[1] nhs.uk
[1] thelancet.com

Top Domains in Tweet in G6:
[147] twitter.com
[127] cdc.gov
[74] recombinomics.co
[15] nytimes.com
[14] ibaraki.jp
[13] lg.jp
[11] go.jp
[8] amazon.it
[8] substack.com
[8] scholarsportal.info

Top Domains in Tweet in G7:
[15] cdc.gov
[4] twitter.com
[3] pnas.org
[3] biorxiv.org
[3] com.au
[1] nih.gov

Top Domains in Tweet in G8:
[49] gob.es
[32] twitter.com
[13] minsal.cl
[3] cdc.gov
[2] publichealthontario.ca

Top Domains in Tweet in G9:
[116] cdc.gov
[45] tokyo.jp
[10] lg.jp
[4] twitter.com
[1] bmj.com
[1] marshmallow-qa.com

Top Domains in Tweet in G10:
[460] ibaraki.jp
[255] lg.jp
[32] twitter.com
[10] catapoke.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[449] 新型コロナウイルス感染症情報
[322] covid_19
[291] covid19
[53] hepatiteautoimune
[30] coronavirus
[23] 코로나19
[23] 예방접종
[23] 기초접종
[21] covid
[17] vacunacovid19



Top Hashtags in Tweet in G1:
[2] macronletraitre
[2] déconstruction
[2] mafiosi
[2] boycott
[2] newagenda2023
[2] powertothepeople
[2] wef
[1] macrondegage
[1] macronlahonte
[1] woke

Top Hashtags in Tweet in G2:
[202] covid19
[2] vaccine
[1] covid19vaccines
[1] makeaplannc
[1] booster
[1] blackhistorymonth

Top Hashtags in Tweet in G4:
[1] longcovid
[1] mecfs
[1] pots
[1] smallfiber

Top Hashtags in Tweet in G6:
[20] covid19
[8] covid
[8] cdc
[6] sarscov2
[6] longcovid
[5] test
[5] sars8
[5] 2019_ncov
[5] sarscov19
[5] stopthespread

Top Hashtags in Tweet in G7:
[1] covid
[1] vaccine

Top Hashtags in Tweet in G8:
[321] covid_19
[17] vacunacovid19
[16] covid1
[15] covid19
[10] coronavirus
[8] yomevacunoseguro
[6] vacunación
[6] asturias
[4] covid
[4] asturies

Top Hashtags in Tweet in G9:
[17] 練馬区
[3] 新型コロナウイルス感染症に対する練馬区方針
[1] 新型コロナウイルス感染症
[1] マスク
[1] マシュマロを投げ合おう

Top Hashtags in Tweet in G10:
[449] 新型コロナウイルス感染症情報
[10] 広島県
[10] 新型コロナ
[6] 千葉県庁

Top Words
Top Words in Tweet in Entire Graph:
[1447] covid
[717] 19
[689] co
[640] casos
[548] cdc
[509] _2019_ncov
[449] qnzux8c1z3
[449] 本日の新規陽性者数
[449] 検査前で症状がある方
[449] 現在の入院者数

Top Words in Tweet in G1:
[474] _2019_ncov
[159] tatiann69922625
[108] yvespdb
[101] jgalt485
[90] ont
[81] bien
[81] 55bellechasse
[80] higuerolucien
[79] don_quichoute
[70] ce

Top Words in Tweet in G2:
[356] cdcgov
[299] covid
[202] #covid19
[172] long
[139] aged
[105] conditions
[99] booster
[99] symptoms
[97] include
[97] cdc

Top Words in Tweet in G3:
[268] julienm__
[258] vaccins
[257] injections
[257] d'arnm
[257] sont
[257] l'allemagne
[257] déclare
[257] plus
[257] meurtriers
[257] l'histoire

Top Words in Tweet in G4:
[239] covid
[141] long
[85] vigilantfox
[84] 19
[84] vaccines
[83] death
[80] sharkzfanz
[79] think
[78] known
[78] yes

Top Words in Tweet in G5:
[218] shomburg
[201] impfeffizienz
[200] trick
[200] mehr
[199] erklärt
[199] immer
[199] benutzt
[199] warum
[199] rki_de
[199] angesprochenen

Top Words in Tweet in G6:
[227] covid
[141] ncov
[140] 19
[108] 2019
[94] 1人
[80] cases
[76] deaths
[74] increase
[74] inc
[74] recombinomics

Top Words in Tweet in G7:
[12] isolation
[12] mcfunny
[11] vaccines
[11] document
[10] read
[10] see
[9] before
[9] actually
[9] updated
[9] last

Top Words in Tweet in G8:
[640] casos
[328] informe
[321] #covid_19
[320] activos
[320] nuevos
[320] 64
[320] diario
[310] ministeriosalud
[282] fallecidos
[282] registrados

Top Words in Tweet in G9:
[114] コロナワクチン接種は男女ともに不妊に影響しない
[114] 妊娠中のコロナワクチン接種は安全で有効
[114] cdcの妊婦におけるコロナワクチン接種に関するページ
[113] mph_for_doctors
[45] 勤労福祉会館
[36] 本日
[36] は
[36] 予約なしでも接種できます
[36] 本日のコロナワクチン接種会場
[34] 詳しくは

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

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[639] covid,19
[449] qnzux8c1z3,検査前で症状がある方
[449] 詳細,co
[449] co,qnzux8c1z3
[439] ibaraki_kouhou,#新型コロナウイルス感染症情報
[347] 検査前で症状がある方,検査で陽性と判
[337] long,covid
[320] informe,diario
[320] casos,activos
[320] diario,#covid_19

Top Word Pairs in Tweet in G1:
[56] fda,cdc
[55] avc,nhs
[55] nhs,ont
[55] consults,avc
[55] cdc,affirment
[55] bien,fda
[55] affirment,qu'il
[55] déploiement,bien
[55] depuis,déploiement
[55] ont,25

Top Word Pairs in Tweet in G2:
[171] long,covid
[104] covid,conditions
[95] brain,fog
[95] common,symptoms
[95] shortness,breath
[95] include,fatigue
[95] fog,several
[95] symptoms,long
[95] heartbeat,brain
[95] fatigue,shortness

Top Word Pairs in Tweet in G3:
[257] plus,meurtriers
[257] injections,d'arnm
[257] d'arnm,sont
[257] déclare,injections
[257] sont,vaccins
[257] l'allemagne,déclare
[257] vaccins,plus
[257] meurtriers,l'histoire
[256] julienm__,l'allemagne
[35] tout,monde

Top Word Pairs in Tweet in G4:
[141] long,covid
[83] covid,19
[80] 19,vaccines
[77] vaccines,cause
[77] breakdown,known
[77] cause,death
[77] less,think
[77] think,breakdown
[77] yes,less
[77] death,yes

Top Word Pairs in Tweet in G5:
[199] warum,trotz
[199] angesprochenen,trick
[199] immer,mehr
[199] trotz,sagenhafter
[199] benutzt,rki_de
[199] impfeffizienz,immer
[199] rki_de,erklärt
[199] sagenhafter,impfeffizienz
[199] tweet,angesprochenen
[199] trick,benutzt

Top Word Pairs in Tweet in G6:
[120] covid,19
[106] 2019,ncov
[74] cases,increase
[74] recombinomics,inc
[74] ncov,recombinomics
[73] covid,cases
[21] sars,cov
[20] coronavirus,2019
[19] learn,more
[15] 19,vaccines

Top Word Pairs in Tweet in G7:
[9] updated,july
[9] before,vaccines
[9] july,2020
[9] read,document
[9] 2020,before
[9] see,last
[9] last,updated
[9] actually,read
[9] document,see
[8] doctor_eric_b,actually

Top Word Pairs in Tweet in G8:
[320] casos,activos
[320] diario,#covid_19
[320] informe,diario
[320] casos,nuevos
[308] ministeriosalud,informe
[282] registrados,64
[282] fallecidos,registrados
[212] #covid_19,marzo
[137] activos,fallecidos
[46] nuevos,392

Top Word Pairs in Tweet in G9:
[114] cdcの妊婦におけるコロナワクチン接種に関するページ,妊娠中のコロナワクチン接種は安全で有効
[114] 妊娠中のコロナワクチン接種は安全で有効,コロナワクチン接種は男女ともに不妊に影響しない
[113] mph_for_doctors,cdcの妊婦におけるコロナワクチン接種に関するページ
[36] 本日のコロナワクチン接種会場,本日
[34] 予約なしでも接種できます,詳しくは
[26] kenko_de_nerima,本日のコロナワクチン接種会場
[25] 大泉学園駅南口,徒歩3分
[25] 6か月,4歳
[25] 乳幼児,6か月
[25] 練馬区の乳幼児の集団接種,予約が取りやすくなっています

Top Word Pairs in Tweet in G10:
[449] 詳細,co
[449] qnzux8c1z3,検査前で症状がある方
[449] co,qnzux8c1z3
[439] ibaraki_kouhou,#新型コロナウイルス感染症情報
[347] 検査前で症状がある方,検査で陽性と判
[305] 2名,本日の死亡者
[305] うち重症者,2名
[199] 本日の死亡者,0名
[199] 0名,詳細
[193] 本日の死亡者,1名

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@jgalt485
@blue_ncov
@yvespdb
@drelidavid
@julienm__
@colonghorn
@leftychris2
@roper_lab
@ludovicodiot

Top Replied-To in G1:
@_2019_ncov
@jgalt485
@yvespdb
@julienm__
@ludovicodiot
@marilynnemeur
@don_quichoute
@tatiann69922625
@verity_france
@le__general_0ff

Top Replied-To in G2:
@stacegotmyname
@cdcgov
@wangcandice
@fredtopel
@warreneducators
@timothypsmith7
@overtonborehole
@jevnederek
@jhgage1
@walling_b

Top Replied-To in G3:
@_2019_ncov
@charliedaniel06
@binocularing

Top Replied-To in G4:
@vigilantfox
@booyakashan1
@jamiesale
@quintic
@wiegraffollez
@ineffablecando1
@i_am_johncullen
@rt7683
@lynnashton12
@jojonewf

Top Replied-To in G5:
@shomburg
@caliphberlin
@makotonomichio
@steger_johann
@peter_hummel
@anja_runge
@sylk1966

Top Replied-To in G6:

Top Replied-To in G7:
@handmadekathy
@tyronepenning
@troonemotime
@scottherrell
@monstercoyliar
@rantoulrobert
@seek1ansuggs
@giveabjgotojail
@doom37455413
@pouldeau61

Top Replied-To in G8:
@rosamartel10
@hercubgar
@jconchac
@ministeriosalud

Top Mentioned
Top Mentioned in Entire Graph:
@ibaraki_kouhou
@cdcgov
@ministeriosalud
@julienm__
@_2019_ncov
@shomburg
@rki_de
@tatiann69922625
@chibaken_kouhou
@mph_for_doctors

Top Mentioned in G1:
@_2019_ncov
@tatiann69922625
@yvespdb
@55bellechasse
@higuerolucien
@don_quichoute
@jgalt485
@philippemurer
@sergiodde
@verity_france

Top Mentioned in G2:
@cdcgov
@iaqadvocates
@flsurgeongen
@hhs_ash
@us_fda
@meetjess
@vdhgov
@sri_srikrishna
@ncdhhs
@jjason_dj_fm_am

Top Mentioned in G3:
@julienm__
@jaimehorta17
@louan07
@ernestociesco
@tatiann69922625
@_2019_ncov
@planetes360
@gabinjean3
@lapinkres

Top Mentioned in G4:
@vigilantfox
@sharkzfanz
@dowdedward
@iwillfactcheck_
@nnk1776
@realstewpeters
@jamiesale
@james_taylor83
@drpaulmarik1
@sethdav38190861

Top Mentioned in G5:
@shomburg
@rki_de
@m_grill
@ndr
@caliphberlin
@fietedp
@cla87503461
@thomas_binder
@therealkathryn
@draseemmalhotra

Top Mentioned in G6:
@panda_honey23
@hanssars8
@aureliobelandom
@miguelh56857253
@refust
@tihtri

Top Mentioned in G7:
@mcfunny
@doctor_eric_b
@doritmi
@skepticalmutant
@logosaetos
@monstercoyliar
@kathmarval
@provaxtexan
@i_am_joli_anne
@andrewlazarus4

Top Mentioned in G8:
@ministeriosalud
@sanidadgob
@cdcespanol
@astursalud
@pifermu
@mevacuno
@rodolfocarter

Top Mentioned in G9:
@mph_for_doctors
@kenko_de_nerima
@funwari_fuwari
@nerima_tokyo
@a5p7wzrnuhkmuun
@rokusyourenn
@konmei30

Top Mentioned in G10:
@ibaraki_kouhou
@chibaken_kouhou
@hiroshima_pref
@funwari_fuwari
@ooaminavi

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@jurylady5
@matiere
@sippomagari
@lizditz
@personalfitnes3
@sonialavera
@kokusizu2
@shintochigi1

Top Tweeters in G1:
@threadreaderapp
@altai_armande
@bfmtv
@yvespdb
@brunedrot
@diabolo741
@talullabellefle
@william85837998
@lemondefr
@pilotte_daniel

Top Tweeters in G2:
@theresamax
@adekleine
@billieo2
@manchuriandevil
@tyberzannxxxx
@jodotcom
@barbiewithatude
@wtf_imtooold
@btsarmy_legit
@thinkkimthink

Top Tweeters in G3:
@franckylarafale
@pvalsfr
@nouveau_papy
@grobisr
@veniseviolette
@abou_portant07
@frederiquerinc1
@mydaphne
@saraart4
@gateta30

Top Tweeters in G4:
@drhrose
@todomejorqenada
@alwaysthemama
@margaretaugrad
@kpod1952
@flatwalk
@somedaygirl
@rynoratboydiane
@evelyn31721
@vastwritewing

Top Tweeters in G5:
@vertig0nix
@berlinaffaires
@witzigwalter
@kamaref
@schwester_gk
@milkrun
@elisabethtobler
@bohmesibyll
@spaeterrebell
@olejanson

Top Tweeters in G6:
@matiere
@personalfitnes3
@npsusa
@tian_a1
@nilab
@didaclopez
@aureliobelandom
@irlandia
@gate_15_analyst
@andreasboos

Top Tweeters in G7:
@lizditz
@doritmi
@_mamadeb
@monstercoyliar
@mcfunny
@angryfleas
@frankdelia7
@naomirwolf
@nockit1
@wendyorent

Top Tweeters in G8:
@janecarvajal
@dragontauro
@937908mcm
@turkiantof
@manolo67554861
@laporres
@gonzaloxrojas
@mgarcia318
@negravillana
@denniselazul

Top Tweeters in G9:
@kokusizu2
@otakutokkai
@gooochin
@paku
@nerimabot2
@mark__lp
@d2n5q4gciztsa2e
@nancy_moon_1789
@onituka
@isodin_sf5

Top Tweeters in G10:
@shintochigi1
@takayan309
@atsushi48shm410
@moriai8
@tsuka_kazunee
@turututukotokot
@tanimoshinden
@afla_war
@nonmomi
@sgr_kn


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