NCoV, Twitter, 12/6/2022 8:58:15 PM, 285674


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NCoV_2022-12-06_05-45-01.xlsx
NCoV_2022-12-06_05-45-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 06, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3uvlt8B
@_2019_ncov
@cdcgov
@joebiden
@admiralawesme29
@paw1015
@cdcdirector
@jeffgilchrist
@louan07
@elonmusk
@nb_covid_info

Top hashtags:
#新型コロナウイルス感染症情報
#covid_19
#covid19
#covid
#longcovid
#코로나19
#예방접종
#postcovid
#postvac
#mecfs

Description:
Description
The graph represents a network of 5,714 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 Tuesday, 06 December 2022 at 13:52 UTC.

The requested start date was Tuesday, 06 December 2022 at 01:01 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 6-day, 0-hour, 38-minute period from Wednesday, 30 November 2022 at 00:21 UTC to Tuesday, 06 December 2022 at 00:59 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 : 5714
Unique Edges : 7350
Edges With Duplicates : 14069
Total Edges : 21419
Number of Edge Types : 5
Replies to : 3593
Mentions : 7342
Retweet : 3343
MentionsInRetweet : 6363
Tweet : 778
Self-Loops : 814
Reciprocated Vertex Pair Ratio : 0.0380350105398222
Reciprocated Edge Ratio : 0.0732827123432809
Connected Components : 515
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 3328
Maximum Edges in a Connected Component : 16508
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 4.61815
Graph Density : 0.000346954158490351
Modularity : 0.404508
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,714 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 Tuesday, 06 December 2022 at 13:52 UTC.

The requested start date was Tuesday, 06 December 2022 at 01:01 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 6-day, 0-hour, 38-minute period from Wednesday, 30 November 2022 at 00:21 UTC to Tuesday, 06 December 2022 at 00:59 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:
[358] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[97] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[84] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[83] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[57] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[25] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[23] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/online-center.html
[23] http://ncov.kdca.go.kr/
[22] https://ncov.kdca.go.kr/
[21] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html

Top URLs in Tweet in G1:
[6] https://twitter.com/_2019_nCoV/status/1597877522695618561?s=20
[4] https://www.youtube.com/watch?v=mJC17IYkaQ8

[4] https://www.youtube.com/watch?v=VzxJQjniAUU&feature=youtu.be

[4] https://www.youtube.com/watch?v=ZNAVdn2n7Ak

[4] https://techcrunch.com/2022/11/30/elon-musk-twitter-eu-dsa-warning/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAKro-bJudl1xaggf7mL_DNqsQdCqcpr5A4Mla9EyS7J4FhGHmvfuxAiq3He5JMWAsdlwFXbVOtNiR7sMDnfMm3eoifoc7qLV8j6MNc2_1i80O8LPavIhieEXeiIQnyxfxCMzSbDQxg6HapfuAUjvegAV3lrCtNpC3jGbl8VkcXfX
[4] https://twitter.com/i/status/1105014635164565505
[2] https://twitter.com/mtaibbi/status/1598822959866683394?s=20
[2] https://twitter.com/verity_france/status/1598052554264428544?s=20
[2] https://www.rolandsimion.org/radiation-definitive-du-dr-marc-girard/
[2] https://pgibertie.com/2022/12/01/la-france-paradis-de-big-pharma-autisme-et-aluminium-ventes-dopioidesintoxication-medicamenteuses-injections-inutiles-et-dangereuses-de-produits-covid/

Top URLs in Tweet in G2:
[4] https://twitter.com/Aliyah01150546/status/1597593782295400448?s=20&t=VxNN9SsfX1SKlRvbjy122Q
[2] https://twitter.com/france_soir/status/1598038396043083776
[2] https://twitter.com/StatChrisCotton/status/1598398931381223440
[2] https://twitter.com/v_joron/status/1598346192915554304
[2] https://twitter.com/6_genre/status/1598363924700733441
[2] https://fr.news.yahoo.com/joe-biden-accorde-gr%C3%A2ce-pr%C3%A9sidentielle-120328862.html
[1] https://twitter.com/VictorDjamba/status/1598163885936476161
[1] https://twitter.com/a_meluzzi/status/1598217058587914240
[1] https://www.dailymail.co.uk/health/article-11498011/Broccoli-raspberries-COVID-experts-warn-learning-virus-live-foods.html
[1] https://www.9news.com.au/national/cancer-news-australian-mum-and-dad-get-diagnosed-on-same-day-adelaide/d6c02872-583d-4847-879c-0f7c77e00323

Top URLs in Tweet in G3:
[2] https://www.lemonde.fr/les-decodeurs/article/2022/12/02/declarations-des-ministres-le-gouvernement-plus-riche-qu-en-2017-compte-19-millionnaires_6152749_4355770.html
[2] https://www.cyberghostvpn.com/en_US/
[2] https://twitter.com/exiliumcorp/status/1597261992984993793?t=M7BWLLZzHq0SzYqI0yQI7w&s=19
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-in-us.html
[1] https://www.lexpress.fr/actualite/societe/sante/coronavirus-2019-ncov-sras-comment-les-chauve-souris-propagent-les-epidemies_2116122.html
[1] https://protonvpn.com/
[1] https://twitter.com/mtwit75/status/1597604847968452608
[1] https://www.youtube.com/watch?v=KpxfkA35eAc&feature=youtu.be

[1] https://twitter.com/DamienRieu/status/1598413187745210368?t=Lq8sDhAOW-GyeUd675jC4g&s=19

Top URLs in Tweet in G4:
[13] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/community/homeless-correctional-settings.html
[3] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/hospitalizations-forecasts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/community-congregate-living-settings.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html#recommendations

Top URLs in Tweet in G5:
[355] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[91] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[45] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[23] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[7] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=
[6] https://www.catapoke.com/viewer/?open=62b3f
[6] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[6] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html

Top URLs in Tweet in G6:
[75] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[12] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/online-center.html
[9] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[8] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/documents/57kai-sijijikou.pdf
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/index.html
[5] https://twitcasting.tv/planetrock2014
[4] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/vaccine_nv_1.html
[4] https://www.pref.chiba.lg.jp/kenfuku/senmonbukai/renrakukaigi.html
[3] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html
[3] http://urx.morimo.info/oWhP?h=urx.space

Top URLs in Tweet in G7:
[7] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/es/covidwho-1351307
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/planning-for-pregnancy.html
[3] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/es/covidwho-1797294
[1] https://espanol.cdc.gov/coronavirus/2019-ncov/index.html?CDC_AA_refVal=https%3A%252F%252Fwww.cdc.gov%252Fcoronavirus%252F2019-ncov%252Fyour-health%252Fgatherings.html
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7128332/#bib0050

Top URLs in Tweet in G8:
[9] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[6] https://ncov.kdca.go.kr/
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/221201_teireikaiken.html
[5] http://pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://c11.kr/joao
[5] https://ncv.kdca.go.kr/ncov/

Top URLs in Tweet in G9:
[15] https://www.publichealthontario.ca/-/media/Documents/nCoV/epi/covid-19-children-school-outbreaks-epi-summary.pdf?rev=e674369cde0d45aa9b925a22a2bcad97&sc_lang=en
[12] https://www.publichealthontario.ca/-/media/Documents/nCoV/epi/covid-19-vaccine-uptake-ontario-epi-summary.pdf?rev=3790214e295b4b8ea3fdd09807c3967a&sc_lang=en
[4] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf
[3] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf?rev=93b21616562a4a2db74f1779ed592a80&sc_lang=en
[2] https://publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?la=en
[1] https://zeroes.ca/@EricCarroll/109425500821565168
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/ipac/2022/04/post-acute-covid-syndrome-pacs.pdf?sc_lang=en
[1] https://twitter.com/Billius27/status/1588638555618045952?s=20&t=qcPQOQAi85rqbe4r34j0Zg
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/epi/2020/06/covid-19-epi-material-deprivation.pdf?rev=4c2fed0b036244b69eec3dd7efc50490&sc_lang=en

Top URLs in Tweet in G10:
[8] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top Domains
Top Domains in Tweet in Entire Graph:
[657] cdc.gov
[396] ibaraki.jp
[253] lg.jp
[192] twitter.com
[100] go.jp
[86] recombinomics.co
[81] publichealthontario.ca
[61] gob.es
[57] go.kr
[40] youtube.com

Top Domains in Tweet in G1:
[116] twitter.com
[23] youtube.com
[4] techcrunch.com
[3] rolandsimion.org
[3] anguillesousroche.com
[2] pgibertie.com
[2] lemonde.fr
[2] wikipedia.org
[2] lesechos.fr
[1] nypost.com

Top Domains in Tweet in G2:
[31] twitter.com
[6] youtube.com
[2] bonsens.info
[2] lefigaro.fr
[2] yahoo.com
[1] co.uk
[1] com.au
[1] canalblog.com
[1] arretsurinfo.ch
[1] blogspot.com

Top Domains in Tweet in G3:
[9] cdc.gov
[7] twitter.com
[2] lemonde.fr
[2] cyberghostvpn.com
[2] who.int
[1] lexpress.fr
[1] protonvpn.com
[1] youtube.com
[1] techcrunch.com
[1] reverso.net

Top Domains in Tweet in G4:
[56] cdc.gov
[3] archive.org
[1] who.int
[1] twitter.com

Top Domains in Tweet in G5:
[363] ibaraki.jp
[99] lg.jp
[46] go.jp
[25] cdc.gov
[7] go.kr
[6] catapoke.com
[1] twitter.com

Top Domains in Tweet in G6:
[117] lg.jp
[10] go.jp
[5] twitcasting.tv
[3] tokyo.jp
[3] morimo.info
[1] twitter.com

Top Domains in Tweet in G7:
[10] bvsalud.org
[4] cdc.gov
[1] nih.gov

Top Domains in Tweet in G8:
[141] cdc.gov
[85] recombinomics.co
[18] ibaraki.jp
[15] lg.jp
[15] go.kr
[13] go.jp
[13] twitter.com
[12] co.jp
[9] bvsalud.org
[9] gob.es

Top Domains in Tweet in G9:
[41] publichealthontario.ca
[4] cdc.gov
[1] zeroes.ca
[1] twitter.com
[1] awmf.org

Top Domains in Tweet in G10:
[8] minsal.cl

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[355] 新型コロナウイルス感染症情報
[312] covid_19
[106] covid19
[93] covid
[35] longcovid
[30] 코로나19
[30] 예방접종
[17] postcovid
[17] postvac
[17] mecfs



Top Hashtags in Tweet in G1:
[15] covid_19
[14] jeneporteraipluslemasque
[9] greatreset
[8] macron
[5] soignants
[4] vpn
[4] breton
[3] h1n1
[3] ftx
[3] girard

Top Hashtags in Tweet in G2:
[6] diedsuddenly
[2] covid19
[2] macron
[2] greatreset
[1] fessenheim
[1] france
[1] edf
[1] hollande
[1] ftx
[1] acidose

Top Hashtags in Tweet in G3:
[3] cestvrai
[2] balenciagagate
[1] lci
[1] vpn
[1] virus
[1] covid
[1] monkeypox
[1] musk
[1] ue
[1] wearedoomed

Top Hashtags in Tweet in G4:
[76] covid
[41] covid19
[5] vaccines
[2] heat
[2] summer
[2] misinformation
[1] nbm22
[1] isolation
[1] quarantine
[1] covidpositive

Top Hashtags in Tweet in G5:
[355] 新型コロナウイルス感染症情報
[6] 広島県
[6] 新型コロナ

Top Hashtags in Tweet in G6:
[13] 千葉県庁
[6] ワクチン
[3] 練馬区
[1] 乳幼児

Top Hashtags in Tweet in G8:
[16] covid19
[11] covid
[7] cdc
[5] 의정부시청
[5] 안전안내문자
[5] 재난문자
[4] 공공데이터
[4] medicaldata
[4] publicdata
[4] 의료공공

Top Hashtags in Tweet in G10:
[296] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[3123] _2019_ncov
[1100] covid
[757] 19
[597] louan07
[594] casos
[553] c'est
[522] co
[514] ce
[450] cette
[370] été

Top Words in Tweet in G1:
[1837] _2019_ncov
[384] c'est
[350] ce
[245] ils
[226] mais
[226] ça
[199] plus
[182] bfmtv
[170] par
[163] oui

Top Words in Tweet in G2:
[633] _2019_ncov
[556] louan07
[285] cette
[275] été
[275] lechypre
[274] youtube
[271] 2021
[271] nettoyé
[270] plateforme
[270] n'hésitez

Top Words in Tweet in G3:
[400] _2019_ncov
[182] elonmusk
[117] morad_tth
[105] danger
[104] corona
[90] financialtimes
[78] c'est
[67] ça
[64] ce
[59] canardmagic

Top Words in Tweet in G4:
[243] cdcgov
[224] covid
[145] alexander_tin
[124] congregate
[120] settings
[117] guidance
[114] 19
[105] swatch
[105] published
[105] changes

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

Top Words in Tweet in G6:
[117] kumagai_chiba
[113] 検査キットの結果が陰性となった重症化リスクが低い方が対象です
[113] おはようございます
[113] 本日9時から千葉県オンライン診療センターを運用します
[113] 新型コロナとインフル同時流行による発熱外来のひっ迫を回避する目的で
[112] 感染状況を見極めながら対象の拡大等
[87] chibaken_kouhou
[69] 詳細データについてはこちらからご覧ください
[69] 県ホームページの更新は翌日になります
[69] の新型コロナウイルス感染症の情報

Top Words in Tweet in G7:
[173] 19
[173] oms
[173] meningitis
[173] covid
[170] datos
[170] bnt162b2
[170] base
[167] aséptica
[167] vacunación
[167] arnm

Top Words in Tweet in G8:
[220] covid
[129] ncov
[121] 19
[103] 2019
[94] cases
[90] deaths
[85] recombinomics
[85] increase
[85] inc
[56] visit

Top Words in Tweet in G9:
[113] covid
[112] 19
[110] ontario
[109] immune
[109] cause
[109] dysregulation
[108] health
[107] pho
[107] public
[106] potential

Top Words in Tweet in G10:
[592] casos
[296] fallecidos
[296] registrados
[296] diario
[296] #covid_19
[296] activos
[296] nuevos
[296] informe
[288] ministeriosalud
[267] 62

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[693] covid,19
[348] ibaraki_kouhou,#新型コロナウイルス感染症情報
[297] informe,diario
[297] diario,#covid_19
[297] 詳細,co
[297] fallecidos,registrados
[296] casos,activos
[296] casos,nuevos
[291] co,qnzux8c1z3
[290] 2021,été

Top Word Pairs in Tweet in G1:
[128] _2019_ncov,bfmtv
[53] ils,ont
[50] _2019_ncov,poulin2012
[48] ah,ah
[47] _2019_ncov,upr_asselineau
[44] _2019_ncov,c'est
[39] ils,sont
[38] 6_genre,_2019_ncov
[38] _2019_ncov,oui
[36] elonmusk,financialtimes

Top Word Pairs in Tweet in G2:
[270] plateforme,youtube
[270] 2021,été
[270] lechypre,datant
[270] intervention,d'emmanuel
[270] youtube,n'hésitez
[270] datant,juin
[270] été,nettoyé
[270] nettoyé,plateforme
[270] juin,2021
[270] d'emmanuel,lechypre

Top Word Pairs in Tweet in G3:
[98] _2019_ncov,elonmusk
[90] elonmusk,financialtimes
[84] _2019_ncov,morad_tth
[52] still,far
[52] danger,corona
[52] resources,corona
[52] panic,still
[52] danger,panic
[52] corona,imo
[52] over,allocate

Top Word Pairs in Tweet in G4:
[123] alexander_tin,cdcgov
[119] congregate,settings
[112] covid,19
[105] swatch,revisions
[105] revisions,covid
[105] cdcgov,published
[105] published,swatch
[105] settings,changes
[105] covid,guidance
[105] guidance,congregate

Top Word Pairs in Tweet in G5:
[348] ibaraki_kouhou,#新型コロナウイルス感染症情報
[296] 詳細,co
[291] co,qnzux8c1z3
[232] qnzux8c1z3,検査前で症状がある方
[225] 検査前で症状がある方,検査で陽
[170] 9名,本日の死亡者
[170] うち重症者,9名
[122] 本日の死亡者,6名
[122] 6名,詳細
[120] 本日の死亡者,5名

Top Word Pairs in Tweet in G6:
[113] 新型コロナとインフル同時流行による発熱外来のひっ迫を回避する目的で,検査キットの結果が陰性となった重症化リスクが低い方が対象です
[113] 本日9時から千葉県オンライン診療センターを運用します,新型コロナとインフル同時流行による発熱外来のひっ迫を回避する目的で
[113] おはようございます,本日9時から千葉県オンライン診療センターを運用します
[112] kumagai_chiba,おはようございます
[112] 検査キットの結果が陰性となった重症化リスクが低い方が対象です,感染状況を見極めながら対象の拡大等
[69] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日になります
[69] の新型コロナウイルス感染症の情報,新規感染者数
[26] 新型コロナ検査キットの自己検査の結果が陰性で,重症化リスクの低い方等が対象となります
[26] インフルエンザ等体調不良者向けの,千葉県オンライン診療センター
[26] 発熱患者のうち,新型コロナ検査キットの自己検査の結果が陰性で

Top Word Pairs in Tweet in G7:
[173] covid,19
[170] datos,oms
[170] base,datos
[167] arnm,bnt162b2
[167] 19,arnm
[167] vacuna,covid
[167] aséptica,vacunación
[167] meningitis,aséptica
[167] bnt162b2,base
[167] vacunación,vacuna

Top Word Pairs in Tweet in G8:
[97] 2019,ncov
[94] covid,19
[85] cases,increase
[85] recombinomics,inc
[85] ncov,recombinomics
[84] covid,cases
[41] website,updated
[41] updated,visit
[37] english,website
[17] ncov,19

Top Word Pairs in Tweet in G9:
[111] covid,19
[109] immune,dysregulation
[109] cause,immune
[107] health,ontario
[107] public,health
[106] 19,infection
[106] infection,cause
[106] dysregulation,potential
[103] summer,warned
[103] warned,covid

Top Word Pairs in Tweet in G10:
[296] diario,#covid_19
[296] informe,diario
[296] casos,activos
[296] fallecidos,registrados
[296] casos,nuevos
[288] ministeriosalud,informe
[241] #covid_19,diciembre
[215] registrados,62
[97] nuevos,12
[93] 820,casos

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@louan07
@mbobmorriss
@julienm__
@canardmagic
@6_genre
@bfmtv
@skynet51517204
@tatiann69922625
@ignatiouk

Top Replied-To in G1:
@_2019_ncov
@6_genre
@bfmtv
@skynet51517204
@ignatiouk
@mbobmorriss
@stalphonse_de_l
@mariesomar
@verocrea23
@tenezduchocolat

Top Replied-To in G2:
@_2019_ncov
@louan07
@julienm__
@tatiann69922625
@55bellechasse
@niusmarco
@sitting_bull_d
@alainsebil
@admanel
@je67jean

Top Replied-To in G3:
@_2019_ncov
@mbobmorriss
@canardmagic
@morad_tth
@mec2later
@guittetandre
@djaonbea_ii
@servaninjp
@aureleretouriii
@elonmusk

Top Replied-To in G4:
@cdcgov
@repthomasmassie
@clarity_mae

Top Replied-To in G5:
@mph_for_doctors
@yukimitsu57

Top Replied-To in G6:
@kumagai_chiba
@elecord

Top Replied-To in G7:
@drchavezdiaz
@javierjjo
@marisagilgzz
@httrejo
@fdiaz2050
@esnat95

Top Replied-To in G9:
@itosettimd_mba
@swickens33
@westcoastbclife
@fitterhappieraj
@tertiaerdelikt
@veit_markus
@psholstein
@cattledog22
@skeptikalrogue
@jenniferbulman

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@louan07
@ibaraki_kouhou
@elonmusk
@ministeriosalud
@cdcgov
@verity_france
@narashi13876794
@zyrs10
@jaimehorta17

Top Mentioned in G1:
@_2019_ncov
@bfmtv
@poulin2012
@elonmusk
@upr_asselineau
@frcsbraun
@emmanuelmacron
@sante_gouv
@twittdeflo
@financialtimes

Top Mentioned in G2:
@_2019_ncov
@louan07
@verity_france
@narashi13876794
@zyrs10
@jaimehorta17
@rasekrasek
@llp_le_vrai
@philippelecat22
@leclerc_mel

Top Mentioned in G3:
@_2019_ncov
@elonmusk
@morad_tth
@financialtimes
@sudradio
@rreichstadt
@upr_asselineau
@conspiration
@benjaminhaddad
@pa_anglade

Top Mentioned in G4:
@cdcgov
@alexander_tin
@cdcespanol
@linseymarr
@tomtsai46
@hhsgov
@auspublichealth
@jeffgilchrist
@nousaerons
@healthyfla

Top Mentioned in G5:
@ibaraki_kouhou
@hiroshima_pref
@trctzigane
@mph_for_doctors
@koheikana
@chibaken_kouhou
@tsukubais
@yukimitsu57
@tm_quencher

Top Mentioned in G6:
@kumagai_chiba
@chibaken_kouhou
@nerima_tokyo
@c45425
@triangle24
@kimitsu_city
@ooaminavi
@inzaishi
@planetrock2014
@akira_dq

Top Mentioned in G7:
@alegra1988
@drchavezdiaz
@lucaslealmontes

Top Mentioned in G8:
@drml350phd
@readyla
@siz_hala
@dr_moonty
@_prometeusz_
@mrspitbull

Top Mentioned in G9:
@jeffgilchrist
@sasswashere
@ccleighton
@lisa_iannattone
@fitterhappieraj
@mamatoronto
@karl_lauterbach
@karinwappmann
@grandebettina
@psholstein

Top Mentioned in G10:
@ministeriosalud

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@ecodaren
@matiere
@sippomagari
@sosorasora3
@lizditz
@ginniasa
@madfall1213
@vonrosenchild
@limportant_fr

Top Tweeters in G1:
@limportant_fr
@sonialavera
@reuters
@bfmtv
@diabolo741
@mi1789
@le_parisien
@sarah41659531
@unrollhelper
@afpfr

Top Tweeters in G2:
@le_figaro
@yvespdb
@delalande72
@rosesouslapluie
@albi2103
@clomimine
@franceinfo
@porcinettelouis
@natpat6477
@defredfred

Top Tweeters in G3:
@talullabellefle
@nypost
@clemence442
@erayeye
@petermcc66
@financialtimes
@botdusexe
@dorunda
@ebenyaakov
@printempsfrance

Top Tweeters in G4:
@vonrosenchild
@adekleine
@eilonwy24
@tyberzannxxxx
@amazingchevvolt
@wavetop
@smlnewswsasia
@planetscape
@hiro_thekid
@monitor_ph

Top Tweeters in G5:
@ecodaren
@madfall1213
@otakutokkai
@paku
@zimei_no_ri
@eimc3z
@5910mikiya
@mindgaterz_2010
@qbk_jitensya
@k_wakita

Top Tweeters in G6:
@sippomagari
@nerimabot2
@reiko124556hige
@aue_oeda
@sayas_diary
@romaspqr
@leonguardiangel
@k6310msm
@minechin
@neruton

Top Tweeters in G7:
@vetehugo
@losemarrp
@virario3
@nikko1947
@mabby64
@montse2004
@marfersua
@mariadelpilarwi
@reloadedlnz2020
@javierfn72

Top Tweeters in G8:
@matiere
@personalfitnes3
@didaclopez
@moonbreeze2
@gate_15_analyst
@donnayoungdc
@zypldot
@kimkarlocastro
@harpo4marx
@rosacaninaclub

Top Tweeters in G9:
@joannecangal
@paulstewartii
@tenji95
@darylgibson
@redboybroken
@jjdebenedictis
@nigheaneilidh
@hopealdridge
@ht4ecosocialism
@joejaggi

Top Tweeters in G10:
@ginniasa
@fabiparraguezm
@siquieresmelees
@dragontauro
@infozeus
@dmvecinal
@ppitune
@gonzaloxrojas
@mgarcia318
@drakhov


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