NCoV, Twitter, 2/18/2023 11:23:38 AM, 289753


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NCoV_2023-02-18_03-12-01.xlsx
NCoV_2023-02-18_03-12-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 18, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3IAQ6kM
@_2019_ncov
@cdcgov
@ffleurbleue
@who
@jgalt485
@ministeriosalud
@laporres
@raoult_didier
@vigilantfox
@elonmusk

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

Description:
Description
The graph represents a network of 4,889 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1130-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Saturday, 18 February 2023 at 00:59 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 : 4889
Unique Edges : 3852
Edges With Duplicates : 13822
Total Edges : 17674
Number of Edge Types : 9
Tweet : 742
Replies to : 2074
MentionsInReplyTo : 6800
MentionsInQuoteReply : 290
Retweet : 2971
MentionsInRetweet : 4438
Mentions : 215
Quote : 61
MentionsInQuote : 83
Self-Loops : 1301
Reciprocated Vertex Pair Ratio : 0.0518803184188855
Reciprocated Edge Ratio : 0.098643006263048
Connected Components : 579
Single-Vertex Connected Components : 189
Maximum Vertices in a Connected Component : 2316
Maximum Edges in a Connected Component : 10726
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.024498
Graph Density : 0.000320703914964587
Modularity : 0.404229
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,889 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1130-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Saturday, 18 February 2023 at 00:59 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:
[456] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[131] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[108] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[72] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[67] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[60] https://twitter.com/Neguse_de_gogo/status/1624209940272549889/photo/1
[57] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[54] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1
[53] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[43] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11794-sars-cov-2-25.html

Top URLs in Tweet in G1:
[8] https://twitter.com/lesbebenous12/status/1623659736850726912/photo/1
[4] https://twitter.com/bigdav25597197/status/1625794466354237441/video/1
[3] https://twitter.com/afes_666/status/1625778916001554432/photo/1
[3] https://twitter.com/FanDeMarlene/status/1624681666550587392/photo/1
[3] https://twitter.com/lesbebenous12/status/1623659569225277440/photo/1
[3] https://twitter.com/GalgosdelSol/status/1625166537064648704/photo/1
[2] https://twitter.com/CalmiNois/status/1624801061708988417/photo/1
[2] https://twitter.com/MaeJaklin/status/1623616075651850240/photo/1
[2] https://twitter.com/FanDeMarlene/status/1624681666550587392?t=vKS3kMbpN0S3nf2CrkgAZw&s=19
[2] https://twitter.com/charlie_yarseen/status/1584099765783961600/photo/1

Top URLs in Tweet in G2:
[20] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[4] https://twitter.com/CDCMMWR/status/1557811619815739393/photo/1
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G3:
[26] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1
[17] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[4] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1
[4] https://twitter.com/contagemcorona1/status/1626526806982504451/photo/1
[4] https://twitter.com/_ppmv/status/1626539817382158339/photo/1
[3] https://twitter.com/CPita3/status/1460826271563329537/photo/1
[2] https://twitter.com/HoustonHealth/status/1625876412166025217/photo/1
[2] https://twitter.com/HoustonHealth/status/1625872968386596865/photo/1

Top URLs in Tweet in G4:
[1] https://ncov.kdca.go.kr/

Top URLs in Tweet in G5:
[9] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/past-reports/04102020.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?r=q71r3&utm_medium=ios&utm_campaign=post
[1] https://twitter.com/hansel21_/status/1624916856984199173/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611676/
[1] https://www.ahajournals.org/doi/full/10.1161/CIRCULATIONAHA.119.044948
[1] https://www.youtube.com/watch?v=NZhzWzoPB3M&feature=youtu.be

[1] https://twitter.com/BodkinThimble/status/1626604274108047360?s=20
[1] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html

Top URLs in Tweet in G6:
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[7] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[6] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11794-sars-cov-2-25.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[4] https://twitter.com/blurmyu/status/1624385871742111744/photo/1

Top URLs in Tweet in G7:
[12] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1626582238661074945/photo/1
[1] https://twitter.com/ministeriosalud/status/1623683587135483905/photo/1
[1] https://twitter.com/ministeriosalud/status/1624045018309701634/photo/1
[1] https://twitter.com/ministeriosalud/status/1616797772916850688/photo/1
[1] https://twitter.com/ministeriosalud/status/1624408080954888194/photo/1
[1] https://twitter.com/ministeriosalud/status/1624770765559107584/photo/1
[1] https://twitter.com/ministeriosalud/status/1625495104906760201/photo/1
[1] https://twitter.com/ministeriosalud/status/1625857497767763972/photo/1
[1] https://twitter.com/ministeriosalud/status/1625155990646837248/photo/1

Top URLs in Tweet in G8:
[58] https://twitter.com/Neguse_de_gogo/status/1624209940272549889/photo/1
[31] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11794-sars-cov-2-25.html
[29] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[26] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[26] https://www.nejm.org/doi/full/10.1056/NEJMoa2211029
[24] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230210.pdf
[9] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[1] https://twitter.com/Conchifrit992/status/1625467356666384386

Top URLs in Tweet in G9:
[122] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[108] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[9] https://www.catapoke.com/viewer/?open=62b3f
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] https://www.niid.go.jp/niid/ja/2019-ncov/11793-covid19-ab116th.html
[6] https://twitter.com/ikaryakuchan/status/1624906670538362881/photo/1
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/masuku-kangaekata.html
[1] https://twitter.com/chibaken_kouhou/status/1626509879719661568/photo/1
[1] https://twitter.com/hiroshima_pref/status/1623596311126904832/photo/1
[1] https://twitter.com/hiroshima_pref/status/1624324863128375296/photo/1

Top URLs in Tweet in G10:
[441] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[9] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/230215_stage1.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1626475323192901632/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1623941202151374848/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1624303166778138624/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1624659651563499521/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1625025727505780736/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1625398804773208064/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[953] twitter.com
[833] cdc.gov
[480] ibaraki.jp
[332] lg.jp
[150] go.jp
[141] who.int
[110] recombinomics.co
[109] gob.es
[48] go.kr
[37] tokyo.jp

Top Domains in Tweet in G1:
[159] twitter.com
[12] threadreaderapp.com
[6] t.me
[3] cdc.gov
[3] youtube.com
[3] thegatewaypundit.com
[3] profession-gendarme.com
[2] leslignesbougent.org
[2] zerohedge.com
[2] pgibertie.com

Top Domains in Tweet in G2:
[109] cdc.gov
[63] twitter.com
[2] lg.jp
[1] healthdata.gov
[1] translate.goog
[1] nejm.org
[1] nih.gov
[1] chop.edu
[1] reuters.com
[1] thelancet.com

Top Domains in Tweet in G3:
[52] who.int
[48] twitter.com
[16] cdc.gov
[3] bvsalud.org
[1] ctvnews.ca
[1] tandfonline.com
[1] publichealthontario.ca
[1] github.com
[1] sky.com

Top Domains in Tweet in G4:
[1] go.kr

Top Domains in Tweet in G5:
[29] cdc.gov
[19] twitter.com
[5] substack.com
[4] archive.org
[1] nih.gov
[1] ahajournals.org
[1] youtube.com
[1] ourworldindata.org
[1] pasteur.fr

Top Domains in Tweet in G6:
[123] cdc.gov
[110] recombinomics.co
[104] twitter.com
[25] lg.jp
[19] go.jp
[19] who.int
[17] ibaraki.jp
[17] gob.es
[13] co.jp
[9] docguide.com

Top Domains in Tweet in G7:
[12] minsal.cl
[11] twitter.com

Top Domains in Tweet in G8:
[59] twitter.com
[35] cdc.gov
[31] go.jp
[29] lg.jp
[26] nejm.org
[24] gob.es

Top Domains in Tweet in G9:
[231] lg.jp
[17] twitter.com
[9] catapoke.com
[8] ibaraki.jp
[6] go.jp
[1] cdc.gov

Top Domains in Tweet in G10:
[454] ibaraki.jp
[10] twitter.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
[413] covid19
[332] covid_19
[314] longcovid
[34] covid
[30] coronavirus
[28] longcovidkids
[26] 코로나19
[26] 예방접종
[26] 기초접종



Top Hashtags in Tweet in G1:
[13] giletsjaunes
[7] retraites
[7] urgent
[6] champselysees
[6] samedi11fevrier
[6] france
[5] prisonnierspolitiques
[5] grégorypasqueille
[4] covid_19
[4] manif11fevrier

Top Hashtags in Tweet in G2:
[192] covid19
[4] blackhealth
[4] beashotcaller
[3] publichealth
[3] covid
[2] gettheshot
[2] coronavirus
[2] longcovid
[1] stopthespread
[1] sarscov2

Top Hashtags in Tweet in G3:
[288] longcovid
[142] covid19
[26] longcovidkids
[13] postcovid
[7] sarscov2
[4] vaxfact
[3] houston
[3] research
[3] covid
[2] mecfs

Top Hashtags in Tweet in G5:
[2] courageousdiscourse

Top Hashtags in Tweet in G6:
[27] covid19
[8] cdc
[7] covid
[5] coronavirus
[4] yomevacunoseguro
[4] vaccine
[4] 疫情防控
[3] vacunación
[3] longcovid
[3] vaccines

Top Hashtags in Tweet in G7:
[328] covid_19
[1] covid19
[1] longcovid

Top Hashtags in Tweet in G9:
[9] 広島県
[9] 新型コロナ
[8] 新型コロナウイルス感染症情報

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

Top Words
Top Words in Tweet in Entire Graph:
[1172] covid
[844] 19
[840] _2019_ncov
[669] co
[658] casos
[449] qnzux8c1z3
[449] 本日の新規陽性者数
[449] 現在の入院者数
[449] 本日の死亡者
[449] #新型コロナウイルス感染症情報

Top Words in Tweet in G1:
[708] _2019_ncov
[104] ce
[103] yvespdb
[87] jgalt485
[83] c'est
[76] crashdebug_fr
[75] sitting_bull_d
[74] sergiodde
[65] plus
[63] didiercoquard2

Top Words in Tweet in G2:
[292] cdcgov
[233] covid
[192] #covid19
[165] 19
[143] updated
[141] more
[121] sick
[121] very
[114] booster
[91] older

Top Words in Tweet in G3:
[335] children
[288] #longcovid
[254] definition
[228] case
[208] adolescents
[206] condition
[195] clinical
[149] covid
[143] 19
[142] #covid19

Top Words in Tweet in G4:
[414] 사망자는
[414] 코로나19로
[207] 11명이라고
[207] 된다고
[207] 인한
[207] 해요
[207] 지난
[207] 사망
[207] 2020년에
[207] 사람은

Top Words in Tweet in G5:
[30] covid
[20] cdc
[19] i_am_johncullen
[18] deaths
[17] influenza
[16] 19
[16] pneumonia
[13] 2020
[12] youtube
[12] mcfunny

Top Words in Tweet in G6:
[247] covid
[147] ncov
[137] 2019
[124] 19
[114] cases
[111] deaths
[110] increase
[110] inc
[110] recombinomics
[73] 1人

Top Words in Tweet in G7:
[654] casos
[328] #covid_19
[327] fallecidos
[327] registrados
[327] diario
[327] activos
[327] nuevos
[327] informe
[325] febrero
[317] ministeriosalud

Top Words in Tweet in G8:
[31] 国立感染症研究所
[31] の変異株について
[31] 新型コロナウイルス
[31] 感染
[31] 伝播性の増加や抗原性の変化が懸念される
[31] cov
[31] 第25報
[31] 2023年2月10日
[31] sars
[30] earl_covid19_tw

Top Words in Tweet in G9:
[152] chibaken_kouhou
[125] co
[122] 県ホームページの更新は翌日
[122] の新型コロナウイルス感染症の情報
[122] 土日祝日を除く
[122] 詳細データについてはこちらからご覧ください
[122] になります
[110] 新規感染者数
[109] 本日
[108] 19

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

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[737] covid,19
[449] 詳細,co
[449] co,qnzux8c1z3
[439] ibaraki_kouhou,#新型コロナウイルス感染症情報
[398] qnzux8c1z3,検査前で症状がある方
[327] informe,diario
[327] casos,activos
[327] diario,#covid_19
[327] casos,nuevos
[327] fallecidos,registrados

Top Word Pairs in Tweet in G1:
[56] didiercoquard2,partageinfos
[56] partageinfos,csapeforce
[56] csapeforce,belmehelzine
[55] gerardfiloche,didiercoquard2
[54] belmehelzine,crashdebug_fr
[46] alainsebil,gerardfiloche
[41] crashdebug_fr,sitting_bull_d
[38] mmtchi,tatiann69922625
[33] didiermaisto,zemmoureric
[33] jlmelenchon,didiermaisto

Top Word Pairs in Tweet in G2:
[160] covid,19
[117] very,sick
[113] more,very
[113] sick,#covid19
[103] updated,covid
[99] 19,booster
[98] #covid19,updated
[67] weakened,immune
[60] immune,system
[60] system,more

Top Word Pairs in Tweet in G3:
[227] case,definition
[208] children,adolescents
[193] clinical,case
[148] #longcovid,children
[137] covid,19
[108] releases,clinical
[108] #covid19,condition
[108] definition,#covid19
[108] condition,#longcovid
[98] 19,condition

Top Word Pairs in Tweet in G4:
[207] 달,사이
[207] 사람은,11명이라고
[207] 33,758명이고
[207] 오늘,코로나19로
[207] 인한,사망
[207] 계시나요,오늘
[207] 758명이고,2020년에
[207] 코로나19로,사망한
[207] 11명이라고,해요
[207] 사망한,사람은

Top Word Pairs in Tweet in G5:
[9] johnincarlisle,youtube
[8] joe09396262,fatalfibers
[8] ryanbeed,laymansscience
[8] real_seeking,mattyboysmit1
[8] all_knowing_bio,ryanbeed
[8] mcfunny,dann58638436
[8] nathanaelyoung,springbok1066
[8] hansel21_,ssz1967
[8] springbok1066,0800_ksmy_ass
[8] ssz1967,evejackson2011

Top Word Pairs in Tweet in G6:
[132] 2019,ncov
[112] covid,19
[110] cases,increase
[110] recombinomics,inc
[110] ncov,recombinomics
[108] covid,cases
[19] sars,cov
[17] english,website
[17] website,updated
[17] updated,visit

Top Word Pairs in Tweet in G7:
[327] casos,activos
[327] fallecidos,registrados
[327] diario,#covid_19
[327] informe,diario
[327] casos,nuevos
[316] ministeriosalud,informe
[199] registrados,64
[128] registrados,63
[88] activos,fallecidos
[69] activos,13

Top Word Pairs in Tweet in G8:
[31] 新型コロナウイルス,sars
[31] 感染,伝播性の増加や抗原性の変化が懸念される
[31] sars,cov
[31] cov,の変異株について
[31] 2023年2月10日,国立感染症研究所
[31] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス
[31] 第25報,2023年2月10日
[31] の変異株について,第25報
[30] earl_covid19_tw,感染
[29] 小児の入院と重症者はでるわけで,小児はかかっても大丈夫じゃね

Top Word Pairs in Tweet in G9:
[122] 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
[122] 県ホームページの更新は翌日,土日祝日を除く
[122] 土日祝日を除く,になります
[110] の新型コロナウイルス感染症の情報,新規感染者数
[108] 本日の感染者はコチラ,co
[108] covid,19
[108] multiple,languages
[108] languages,covid
[108] information,multiple
[108] の広島県内の感染状況,本日の感染者はコチラ

Top Word Pairs in Tweet in G10:
[441] 詳細,co
[441] co,qnzux8c1z3
[431] ibaraki_kouhou,#新型コロナウイルス感染症情報
[391] qnzux8c1z3,検査前で症状がある方
[257] 検査前で症状がある方,検査で陽性
[159] 2名,詳細
[159] 本日の死亡者,2名
[155] 0名,詳細
[155] 本日の死亡者,0名
[128] うち重症者,14名

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@jgalt485
@yvespdb
@illicopresto23
@douglas14331893
@philkarasick
@verity_france
@awayfromthekeys
@cit_dechue
@guigui83457472

Top Replied-To in G1:
@_2019_ncov
@jgalt485
@yvespdb
@outis_sandgrain
@carambaraaa
@verity_france
@lesommierrgis
@marloubordo
@daniela44490417
@le__general_0ff

Top Replied-To in G2:
@kevinnbass
@cdcgov
@janainadobrasil
@flsurgeongen
@bobs_johnsonhtx
@_2019_ncov
@thatgirl_in_nyc
@todayshow
@johncarneyde
@doc_gero

Top Replied-To in G3:
@who
@dakota_150
@yaneerbaryam
@erictopol
@peteuk7

Top Replied-To in G5:
@i_am_johncullen
@vigilantfox
@ptcjoneses
@ewoodhouse7
@dalet35692736
@claushetting
@jason_willz1
@rt7683
@officialtonyl
@kittykat99

Top Replied-To in G7:
@victorj33766425
@ministeriosalud

Top Replied-To in G8:
@triangle24

Top Replied-To in G9:
@ikaryakuchan

Top Mentioned
Top Mentioned in Entire Graph:
@ibaraki_kouhou
@who
@ministeriosalud
@_2019_ncov
@cdcgov
@ghvillain1
@chibaken_kouhou
@hiroshima_pref
@yvespdb
@sergiodde

Top Mentioned in G1:
@_2019_ncov
@yvespdb
@sergiodde
@crashdebug_fr
@sitting_bull_d
@jgalt485
@partageinfos
@didiercoquard2
@csapeforce
@gerardfiloche

Top Mentioned in G2:
@cdcgov
@vaccinologie
@us_fda
@flsurgeongen
@cdcdirector
@alexander_tin
@dianaberrent
@nbcnews
@foxnews
@pfizer

Top Mentioned in G3:
@who
@mvankerkhove
@carol_perelman
@longcovidkids
@cdcgov
@laurie_garrett
@rolandoug
@houstonhealth
@asociacionpem
@longcovidch

Top Mentioned in G4:
@ghvillain1

Top Mentioned in G5:
@youtube
@mcfunny
@i_am_johncullen
@thisisnothappen
@johannaszabo1
@ryanbeed
@badhatter353
@johnincarlisle
@p_mcculloughmd
@rw_christian

Top Mentioned in G6:
@aureliobelandom
@zyrofoxtrot
@mama_melaleuca
@bosanskakaf

Top Mentioned in G7:
@ministeriosalud
@mevacuno
@ximenaguilera
@ccuadradon
@chefabiola
@gobiernodechile
@who

Top Mentioned in G8:
@earl_covid19_tw
@neguse_de_gogo
@calcijp
@conchifrit992
@sixailes
@triangle24

Top Mentioned in G9:
@chibaken_kouhou
@hiroshima_pref
@demauyo_tadaimo
@ibaraki_kouhou
@ikaryakuchan

Top Mentioned in G10:
@ibaraki_kouhou
@tsukubais

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@teamyoutube
@jurylady5
@matiere
@superalitita
@rodolfoxoliz
@eggry
@littlebytesnews
@lizditz

Top Tweeters in G1:
@threadreaderapp
@yvespdb
@unrollhelper
@delalande72
@william85837998
@kitty_maggy
@gerardfiloche
@nhabouzite
@saveflix2
@jakopasto1

Top Tweeters in G2:
@reuters
@business
@adekleine
@micjojd
@cmargaronis
@tyberzannxxxx
@itswanda
@njdoc
@longfellowjean
@btsarmy_legit

Top Tweeters in G3:
@lilygabet
@silvrib
@1feralkat
@joejaggi
@geoffypjohnston
@alittlebitroyal
@saffiya_khan1
@craigmatsuda
@jchilton666
@keithmfitz

Top Tweeters in G4:
@eggry
@marshmallgom
@anne_xo1
@wkdtmdgml21
@q_bannh
@heeya3507
@kimbiqu
@panta_rhei825
@rmfhaltzkf
@09x11x09

Top Tweeters in G5:
@lizditz
@doritmi
@monstercoyliar
@mark_melbin
@takethatct
@mcfunny
@benzosarebad
@angryfleas
@frankdelia7
@soncharm

Top Tweeters in G6:
@matiere
@personalfitnes3
@mary_swilling
@didaclopez
@lllpuplll
@louiedadawg
@setonoutikai
@utu_panic
@aureliobelandom
@ricehaha

Top Tweeters in G7:
@rodolfoxoliz
@ro_moyano_26
@trigorosa
@janecarvajal
@dragontauro
@mattyll
@branemark1
@rsalvop
@varancib
@laporres

Top Tweeters in G8:
@m0ni0
@kinasato_cap001
@mikan_alien
@otakutokkai
@tms063
@nmikanw
@super_haka
@azukiglg
@808cyatumi
@suuzanantonko

Top Tweeters in G9:
@teaparty0000
@4823_tanaka
@atsushi48shm410
@iriyamazu_b
@turututukotokot
@sro7ztbvxqhbuo0
@choki0623
@miwa_1107
@shinngen50
@rhythm_mars

Top Tweeters in G10:
@shintochigi1
@takakura1982
@moriai8
@mutoh_z
@tsuka_kazunee
@sgr_kn
@dummyxtweet
@beer_prius
@contaxndigital
@yamano__88


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