NCoV, Twitter, 7/9/2022 5:32:43 PM, 279261


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NCoV_2022-07-09_03-12-01.xlsx
NCoV_2022-07-09_03-12-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 09, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3nSp39u
@_2019_ncov
@jesslovesmjk
@cdcgov
@dragonfishy
@eastiswest93
@audio_embed
@bretweinstein
@billius27
@sapo_revolution
@soupisf

Top hashtags:
#covid19
#新型コロナウイルス感染症情報
#covid_19
#longcovid
#braundemission
#cdc
#코로나19
#포스트오미크론

Description:
Description
The graph represents a network of 6,250 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 July 2022 at 10:22 UTC.

The requested start date was Saturday, 09 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 5-day, 19-hour, 34-minute period from Friday, 01 July 2022 at 16:49 UTC to Thursday, 07 July 2022 at 12:24 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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 : 6250
Unique Edges : 6646
Edges With Duplicates : 13225
Total Edges : 19871
Number of Edge Types : 5
Replies to : 3002
Mentions : 5323
Tweet : 901
Retweet : 3730
MentionsInRetweet : 6915
Self-Loops : 959
Reciprocated Vertex Pair Ratio : 0.040844244674614
Reciprocated Edge Ratio : 0.0784829140067593
Connected Components : 653
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 3518
Maximum Edges in a Connected Component : 14737
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.120943
Graph Density : 0.000272734837574012
Modularity : 0.432278
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,250 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 July 2022 at 10:22 UTC.

The requested start date was Saturday, 09 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 5-day, 19-hour, 34-minute period from Friday, 01 July 2022 at 16:49 UTC to Thursday, 07 July 2022 at 12:24 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[439] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[96] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[73] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[58] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11257-covid19-18.html
[42] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[37] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[34] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[33] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[30] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html

Top URLs in Tweet in G1:
[7] https://twitter.com/MireilleWebber/status/1544436703082987522?s=20&t=ask5aX2KHwZf7dOJNpUOcA
[6] https://twitter.com/nunyallbusiness/status/1544460176224395264?s=20&t=ask5aX2KHwZf7dOJNpUOcA
[5] https://twitter.com/pathy_selma/status/1541939079520178179?s=20&t=0ZknIw6f1l5tuaiihifMHA
[2] https://twitter.com/AndersonAfDMdEP/status/1540332917972275200?s=20&t=joxhSlGfJ_VWtgXqUfphNA
[2] https://atlantico.fr/article/decryptage/les-chinois-sont-en-pleine-panique-bancaire-et-personne-ne-s-en-preoccupe-dans-le-reste-du-monde-banques-retraits-argent-economie-crise-economique-michel-ruimy
[2] http://xn--gnraliste-b4ab.fr
[2] https://crowdbunker.com/v/3DZQFgZ21P
[2] https://www.youtube.com/watch?v=xhwnYsr845A

[2] https://www.anguillesousroche.com/changement-climatique/flashback-en-2009-on-les-appelle-le-good-club-et-ils-veulent-sauver-le-monde/
[2] https://twitter.com/ScottBa26023822/status/1544713012279267330?t=doqoIY67oSrxvLfUoySH8w&s=19

Top URLs in Tweet in G2:
[6] https://doctors4covidethics.org/wp-content/uploads/2022/07/750-Studies-About-the-Dangers-of-the-COVID-19-Injections.pdf
[3] https://www.youtube.com/watch?v=NU71Z_-cUjw&feature=youtu.be

[2] https://twitter.com/Julie_Amadis/status/1221442628706762753?ref_src=twsrc%5Etfw
[1] https://twitter.com/jgalt485/status/1543184382994817024
[1] https://twitter.com/TheMarieOakes/status/1542190883243802627
[1] https://jessicar.substack.com/p/molecular-mimicry-of-sars-ncov-2
[1] https://jessicar-substack-com.translate.goog/p/molecular-mimicry-of-sars-ncov-2?_x_tr_sl=en&_x_tr_tl=fr&_x_tr_hl=fr&_x_tr_pto=wapp
[1] https://twitter.com/ErikLoridan/status/1543234318918631426
[1] https://twitter.com/MartinZ_uncut/status/1544583600506515456
[1] https://twitter.com/Zenon71647295/status/1515209026296029186

Top URLs in Tweet in G3:
[14] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[11] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/travelers/map-and-travel-notices.html
[4] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/testing/diagnostic-testing.html#cdc-chat-bot-open
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/vaccines-children-teens.html

Top URLs in Tweet in G4:
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[8] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11257-covid19-18.html
[8] http://ncov.mohw.go.kr
[7] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html?s_cid=11747:cdc%20fully%20vaccinated%20definition:sem.ga:p:RG:GM:gen:PTN:FY22#recommendations
[7] https://ncv.kdca.go.kr/ncov/
[6] https://c11.kr/joao
[6] https://www.sozialministerium.at/Informationen-zum-Coronavirus/Neuartiges-Coronavirus-(2019-nCov).html
[5] https://jessicar.substack.com/p/molecular-mimicry-of-sars-ncov-2

Top URLs in Tweet in G5:
[5] https://jessicar.substack.com/p/molecular-mimicry-of-sars-ncov-2
[3] https://www.ema.europa.eu/en/documents/product-information/comirnaty-epar-product-information_en.pdf
[3] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/es/covidwho-1045926
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.sacurrent.com/news/commentary-death-is-more-of-a-threat-to-liberty-than-masks-or-vaccines-27003775
[1] https://www.biorxiv.org/content/10.1101/2020.01.30.927871v1
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260495/
[1] https://m.weibo.cn/status/4777110034453455
[1] https://www.publichealthontario.ca/-/media/documents/ncov/vaccines/2020/12/covid-19-guidance-aesis.pdf?la=en
[1] https://brownstone.org/articles/are-the-covid-mrna-vaccines-safe/

Top URLs in Tweet in G6:
[6] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top URLs in Tweet in G7:
[428] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[21] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[20] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11257-covid19-18.html
[5] https://twitter.com/IBK44/status/1544976499974975488/photo/1
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html

Top URLs in Tweet in G8:
[4] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html
[3] https://www.youtube.com/watch?v=ycf6bAMKgjg&feature=youtu.be

[3] https://jamanetwork.com/journals/jama/fullarticle/2763852
[3] https://www.youtube.com/watch?v=x6cTDGqcUpA

[3] https://www.wsj.com/articles/double-face-masks-n95-protect-yourself-against-new-covid-19-variants-with-these-mask-upgrades-11612473349
[3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169241/#__ffn_sectitle
[3] https://pnas.org/doi/full/10.1073/pnas.2014564118
[3] https://www.publichealthontario.ca/-/media/documents/ncov/covid-wwksf/2021/08/wwksf-wearing-masks-children.pdf?sc_lang=en
[3] https://www.kxan.com/news/coronavirus/do-face-masks-work-here-are-49-scientific-studies-that-explain-why-they-do/
[2] https://www.cdc.gov/coronavirus/2019-ncov/your-health/free-masks.html

Top URLs in Tweet in G9:
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/Pfizer-BioNTech.html
[2] https://web.archive.org/web/20210305000831/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vsafepregnancyregistry.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://jessicar.substack.com/p/molecular-mimicry-of-sars-ncov-2?utm_medium=email
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/COVID-WWKSF/2022/03/wwksf-mask-mandates-population-level-outcomes.pdf?sc_lang=en

Top URLs in Tweet in G10:
[91] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[71] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[33] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[26] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[8] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/documents/20220704phase.pdf
[8] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[7] https://www.catapoke.com/viewer/?open=62b3f
[5] https://www.pref.chiba.lg.jp/shippei/press/2022/ncov0601-0630.html
[4] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/index.html

Top Domains
Top Domains in Tweet in Entire Graph:
[779] cdc.gov
[487] ibaraki.jp
[276] lg.jp
[162] twitter.com
[100] go.jp
[90] gob.es
[78] recombinomics.co
[67] publichealthontario.ca
[54] go.kr
[34] substack.com

Top Domains in Tweet in G1:
[88] twitter.com
[14] youtube.com
[3] wordpress.com
[2] berliner-zeitung.de
[2] substack.com
[2] co.uk
[2] atlantico.fr
[2] xn--gnraliste-b4ab.fr
[2] francesoir.fr
[2] odysee.com

Top Domains in Tweet in G2:
[12] twitter.com
[6] youtube.com
[6] doctors4covidethics.org
[3] wikipedia.org
[2] rebellyon.info
[1] substack.com
[1] translate.goog
[1] lesakerfrancophone.fr
[1] agoravox.fr
[1] the-sun.com

Top Domains in Tweet in G3:
[120] cdc.gov
[5] twitter.com
[2] substack.com
[1] t.co
[1] vaccines.gov
[1] ny.gov

Top Domains in Tweet in G4:
[115] cdc.gov
[78] recombinomics.co
[22] go.jp
[22] go.kr
[11] lg.jp
[11] substack.com
[11] ibaraki.jp
[10] bvsalud.org
[9] twitter.com
[9] amazon.it

Top Domains in Tweet in G5:
[10] substack.com
[3] europa.eu
[3] bvsalud.org
[2] cdc.gov
[1] sacurrent.com
[1] biorxiv.org
[1] nih.gov
[1] weibo.cn
[1] publichealthontario.ca
[1] brownstone.org

Top Domains in Tweet in G6:
[6] minsal.cl

Top Domains in Tweet in G7:
[453] ibaraki.jp
[20] go.jp
[5] twitter.com

Top Domains in Tweet in G8:
[8] cdc.gov
[7] publichealthontario.ca
[7] youtube.com
[6] nih.gov
[3] twitter.com
[3] jamanetwork.com
[3] wsj.com
[3] pnas.org
[3] kxan.com
[2] cp24.com

Top Domains in Tweet in G9:
[3] cdc.gov
[2] archive.org
[2] publichealthontario.ca
[1] substack.com

Top Domains in Tweet in G10:
[248] lg.jp
[9] ibaraki.jp
[7] catapoke.com
[2] chiba.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[517] covid19
[429] 新型コロナウイルス感染症情報
[331] covid_19
[70] longcovid
[34] braundemission
[24] cdc
[23] 코로나19
[23] 포스트오미크론
[23] coronavirus
[20] covid



Top Hashtags in Tweet in G1:
[12] covid_19
[7] lrem
[7] bfm
[7] zemmourtoujours
[7] reconquête
[5] soutiensauxagriculteurs
[4] postinjections
[4] rothschild
[4] soutienauxagriculteurs
[4] fakenews

Top Hashtags in Tweet in G2:
[30] braundemission
[3] 26janvier2020
[3] julieamadis
[3] strategieduchoc
[3] macron
[2] ncov
[2] wuhancoronavirus
[2] révolution
[2] humanocratie
[2] 1pour25

Top Hashtags in Tweet in G3:
[422] covid19
[5] covid
[4] travel
[3] parents
[2] longcovid
[2] padres
[2] vaccines
[1] factfriday
[1] wecandothis
[1] healthtiptuesday

Top Hashtags in Tweet in G4:
[30] covid19
[8] korea
[8] 공공데이터
[8] medicaldata
[8] publicdata
[7] 안전안내문자
[7] 재난문자
[6] coronavirus
[6] ezramiller
[6] 의정부시청

Top Hashtags in Tweet in G5:
[1] dionichi
[1] onion
[1] nazis

Top Hashtags in Tweet in G6:
[291] covid_19

Top Hashtags in Tweet in G7:
[420] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G8:
[4] longcovid
[3] covid19
[1] onhealth
[1] ba5
[1] covidisnotover

Top Hashtags in Tweet in G10:
[12] 千葉県庁
[9] 新型コロナウイルス感染症情報
[8] 佐倉
[7] 広島県
[7] 新型コロナ
[7] sakuracity
[2] 松戸

Top Words
Top Words in Tweet in Entire Graph:
[2663] _2019_ncov
[1214] covid
[749] 19
[624] casos
[566] co
[517] #covid19
[480] bfmtv
[433] 詳細は
[431] 本日の新規陽性者数
[431] 現在の入院者数

Top Words in Tweet in G1:
[1972] _2019_ncov
[408] bfmtv
[325] c'est
[313] ce
[269] ils
[201] ah
[194] plus
[185] ça
[184] mais
[161] sont

Top Words in Tweet in G2:
[362] _2019_ncov
[220] jgalt485
[204] yvespdb
[136] jeanyvescapo
[108] poulin2012
[107] medic4allhuman
[101] don_quichoute
[96] andrebercoff
[91] philippemurer
[85] zenon71647295

Top Words in Tweet in G3:
[422] #covid19
[379] cdcgov
[302] covid
[244] older
[242] 19
[237] months
[222] help
[200] vaccines
[199] children
[172] available

Top Words in Tweet in G4:
[182] covid
[131] ncov
[113] 19
[107] 2019
[91] cases
[85] deaths
[78] increase
[78] recombinomics
[78] inc
[36] cdc

Top Words in Tweet in G5:
[166] jesslovesmjk
[164] data
[163] very
[162] evidence
[161] things
[160] piling
[160] making
[160] sad
[160] each
[160] stand

Top Words in Tweet in G6:
[582] casos
[291] informe
[291] diario
[291] #covid_19
[291] nuevos
[291] activos
[291] fallecidos
[291] registrados
[291] 58
[286] julio

Top Words in Tweet in G7:
[420] #新型コロナウイルス感染症情報
[420] 本日の新規陽性者数
[420] 現在の入院者数
[420] うち重症者数
[420] 0名
[420] 本日の退院
[420] 退所等者数
[420] 詳細は
[420] co
[420] qnzux8c1z3

Top Words in Tweet in G8:
[149] ontario
[121] billius27
[91] rule
[89] cdc
[85] back
[85] others
[85] went
[85] day
[85] important
[85] study

Top Words in Tweet in G9:
[3] fvckyourfear
[3] djchicus
[3] andrewlazarus4
[3] reacharoundu
[3] jimeeliberty
[3] lifeafterwef
[3] jonathanhannah
[3] dominos20076133
[3] itisjustmebabe
[3] vaccine

Top Words in Tweet in G10:
[118] の新型コロナウイルス感染症の情報
[118] 新規感染者数
[118] 詳細データについてはこちらからご覧ください
[118] 県ホームページの更新は翌日
[118] 土日祝日を除く
[118] になります
[113] chibaken_kouhou
[87] co
[73] 19
[71] の広島県内の感染状況

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[644] covid,19
[431] うち重症者数,0名
[431] 0名,本日の退院
[431] 本日の退院,退所等者数
[431] 詳細は,co
[429] co,qnzux8c1z3
[422] ibaraki_kouhou,#新型コロナウイルス感染症情報
[307] informe,diario
[307] casos,nuevos
[307] casos,activos

Top Word Pairs in Tweet in G1:
[187] _2019_ncov,bfmtv
[107] ah,ah
[62] yvespdb,bfmtv
[56] ils,ont
[46] insiderdonbass,westernunion
[43] dubreuilhmarcel,charlesconsigny
[41] _2019_ncov,pierrejovanovic
[37] jacquel11956817,dubreuilhmarcel
[36] _2019_ncov,insiderdonbass
[36] lehladak,yvespdb

Top Word Pairs in Tweet in G2:
[126] yvespdb,jeanyvescapo
[80] jgalt485,yvespdb
[47] philippemurer,don_quichoute
[41] allanicfabian,alleyesontruth
[39] jeanyvescapo,allanicfabian
[36] ses,lacets
[35] faire,ses
[34] alleyesontruth,allandodds2755
[33] poulin2012,alainhoupert
[32] jeanyvescapo,borowskimike

Top Word Pairs in Tweet in G3:
[241] covid,19
[225] months,older
[182] #covid19,vaccines
[171] vaccines,available
[131] children,ages
[123] ages,months
[121] cdcgov,parents
[116] help,make
[115] parents,#covid19
[115] available,children

Top Word Pairs in Tweet in G4:
[100] 2019,ncov
[78] covid,19
[78] cases,increase
[78] ncov,recombinomics
[78] recombinomics,inc
[75] covid,cases
[20] sars,cov
[16] learn,more
[16] ncov,19
[15] 2022,07

Top Word Pairs in Tweet in G5:
[160] data,evidence
[160] evidence,piling
[160] piling,making
[160] making,very
[160] very,sad
[160] sad,things
[160] things,each
[160] each,stand
[159] jesslovesmjk,data
[159] stand,fro

Top Word Pairs in Tweet in G6:
[291] informe,diario
[291] diario,#covid_19
[291] casos,nuevos
[291] casos,activos
[291] fallecidos,registrados
[291] registrados,58
[286] #covid_19,julio
[285] ministeriosalud,informe
[150] nuevos,42
[98] julio,10

Top Word Pairs in Tweet in G7:
[420] うち重症者数,0名
[420] 0名,本日の退院
[420] 本日の退院,退所等者数
[420] 詳細は,co
[420] co,qnzux8c1z3
[413] ibaraki_kouhou,#新型コロナウイルス感染症情報
[210] qnzux8c1z3,新型コロナウイルス感
[144] 本日の死亡者数,1名
[144] 1名,詳細は
[80] #新型コロナウイルス感染症情報,7月3日

Top Word Pairs in Tweet in G8:
[85] back,cdc
[85] cdc,ontario
[85] ontario,others
[85] others,went
[85] went,day
[85] day,rule
[85] rule,important
[85] important,study
[85] study,japan
[85] japan,clearly

Top Word Pairs in Tweet in G9:
[3] djchicus,andrewlazarus4
[3] reacharoundu,jimeeliberty
[3] jimeeliberty,lifeafterwef
[3] lifeafterwef,jonathanhannah
[3] jonathanhannah,dominos20076133
[2] dominos20076133,fillmorewhite
[2] albertrodz5,skepticalmutant
[2] skepticalmutant,mpc_xetts
[2] mpc_xetts,foolanderworld
[2] foolanderworld,chimera414

Top Word Pairs in Tweet in G10:
[118] の新型コロナウイルス感染症の情報,新規感染者数
[118] 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
[118] 県ホームページの更新は翌日,土日祝日を除く
[118] 土日祝日を除く,になります
[71] information,multiple
[71] multiple,languages
[71] languages,covid
[71] covid,19
[64] 本日,の広島県内の感染状況
[64] の広島県内の感染状況,本日の感染者はコチラ

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@jgalt485
@jvd54_ml
@bfmtv
@fandemarlene
@princerodgersn
@hopperchef
@bluebellleda
@pierrezappa
@ashaeraah

Top Replied-To in G1:
@_2019_ncov
@bfmtv
@jvd54_ml
@princerodgersn
@fandemarlene
@jgalt485
@hopperchef
@bluebellleda
@pierrezappa
@ashaeraah

Top Replied-To in G2:
@_2019_ncov
@jgalt485
@don_quichoute
@yvespdb
@bougezp
@allanicfabian
@annie41315609
@yannickcharle14
@francoisboulo
@verity_france

Top Replied-To in G3:
@cdcgov
@cdcdirector
@alexandra_duus
@metro_id_
@momendeavors
@edumsjdan42
@cynthiacjp
@donkeyboy67
@drshanerrr
@njbbari3

Top Replied-To in G5:
@jesslovesmjk
@drclairetaylor
@ivdareios
@_karen_321
@theerunningdude
@musicquestmike

Top Replied-To in G8:
@ceebeeradio
@smilingrain122
@bregmanps
@malolisica
@philfreie
@teacherarthurg
@sri_srikrishna
@iguy_f
@simon69811617
@mickingong

Top Replied-To in G9:
@gwen_moody10
@fvckyourfear
@djchicus
@drucksintern
@ppglane
@andrew7rd
@forsolace
@davidmweissman

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@bfmtv
@ibaraki_kouhou
@cdcgov
@yvespdb
@ministeriosalud
@jgalt485
@jesslovesmjk
@jeanyvescapo
@medic4allhuman

Top Mentioned in G1:
@_2019_ncov
@bfmtv
@yvespdb
@pierrejovanovic
@lehladak
@insiderdonbass
@westernunion
@dubreuilhmarcel
@maya_sakurambo
@charlesconsigny

Top Mentioned in G2:
@_2019_ncov
@jgalt485
@yvespdb
@jeanyvescapo
@poulin2012
@medic4allhuman
@andrebercoff
@don_quichoute
@philippemurer
@zenon71647295

Top Mentioned in G3:
@cdcgov
@cdcespanol
@cdcdirector
@usedgov
@usagov
@us_fda
@sunitareed
@pahealthdept
@globalphobserv
@njdeptofhealth

Top Mentioned in G4:
@drml350phd
@mama_melaleuca
@beltandroad1
@primary_immune
@kpmidatlantic
@council_melrose
@whopoland

Top Mentioned in G5:
@jesslovesmjk
@keithev84928885
@dragonfishy
@gerrybridgett
@bretweinstein
@jaineysez
@fynn_fan
@_2019_ncov
@brianne14437909
@dronico

Top Mentioned in G6:
@ministeriosalud

Top Mentioned in G7:
@ibaraki_kouhou
@earl_covid19_tw
@tsukubais
@ibk44
@kitaibarakicity

Top Mentioned in G8:
@billius27
@sri_srikrishna
@harryilesmann
@mandatemasksny
@cactusimbayern
@laurieallee
@abraarkaran
@cdcgov
@philofficer29
@lennaleprena

Top Mentioned in G9:
@andrewlazarus4
@reacharoundu
@jimeeliberty
@lifeafterwef
@jonathanhannah
@dominos20076133
@itisjustmebabe
@twitter
@carlsmythe
@djchicus

Top Mentioned in G10:
@chibaken_kouhou
@hiroshima_pref
@dondeli
@ibaraki_kouhou
@bousai_sakura
@c45425
@matsudo_city

Top Tweeters
Top Tweeters in Entire Graph:
@jornalistavitor
@ecodaren
@kanekos69
@lennaleprena
@matiere
@roblwilson
@hokcenayeokcena
@delta
@sddphoto
@mharvey816

Top Tweeters in G1:
@botliberalisme
@reuters
@madrynha2012
@thalassa2008
@radiolondres6
@bfmtv
@yvespdb
@nicolarsouil
@lasagesse78190
@20minutes

Top Tweeters in G2:
@edira2
@mazenod10
@brunedrot
@delalande72
@levyloiseau
@unrollhelper
@william85837998
@jeanclaudepeyra
@jackimbe
@myriamjerome

Top Tweeters in G3:
@mharvey816
@russelltim151
@adekleine
@tyberzannxxxx
@eilonwy24
@njdoc
@bad_woof
@barbiewithatude
@austinlouis5
@vaw511

Top Tweeters in G4:
@matiere
@personalfitnes3
@m157q_news_rss
@didaclopez
@kohnagao
@madomakusu
@chiscoyo
@oymd01
@masatoku
@vctor92305336

Top Tweeters in G5:
@elalam_vnz
@clobala2
@alek_aloha
@spacefromgreece
@paularitchie3
@007dijon
@clrfldcdaughtry
@rockets9394
@alcocan
@ronald3

Top Tweeters in G6:
@fabiparraguezm
@grupowurtlitzer
@dragontauro
@infozeus
@branemark1
@hurtadozaidaa
@gonzaloxrojas
@mgarcia318
@chidalgo
@tavo_ucatolica

Top Tweeters in G7:
@gooochin
@amzkhb
@tsuka_kazunee
@shirayukihime_p
@crazyagogo1024
@sgr_kn
@dummyxtweet
@koota_43
@kazubachev
@nonmomi

Top Tweeters in G8:
@lennaleprena
@marthalynneowe1
@inforenique
@dianneathome
@hopealdridge
@moniquedhooghe
@geoffypjohnston
@312shelly3
@joejaggi
@ferrariera

Top Tweeters in G9:
@brettaapplebaum
@davidmweissman
@birdseye1
@marvin_hill123
@stonecoldchik
@sandraclunie
@fillmorewhite
@kath2cats
@mcfunny
@chimera414

Top Tweeters in G10:
@kero_jiji
@ruriasagi
@shada026
@mintgreennaneko
@cfihr22
@noel_hasui
@turututukotokot
@k6310msm
@leonguardiangel
@nanasino47


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