NCoV, Twitter, 12/25/2022 11:04:13 PM, 286952
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NCoV_2022-12-25_02-28-26.xlsx
NCoV_2022-12-25_02-28-26.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
December 25, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3PRMgG1
@_2019_ncov
@cdcgov
@georgette1918
@0123_yasmina
@potus
@digiphile
@elonmusk
@naturallemon1
@aoihana1213
@funwari_fuwari

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

Description:
Description
The graph represents a network of 6,593 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 Sunday, 25 December 2022 at 10:45 UTC.

The requested start date was Sunday, 25 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, 15-hour, 46-minute period from Friday, 16 December 2022 at 20:28 UTC to Friday, 23 December 2022 at 12:15 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 : 6593
Unique Edges : 6745
Edges With Duplicates : 19860
Total Edges : 26605
Number of Edge Types : 5
Retweet : 3850
MentionsInRetweet : 6919
Replies to : 3034
Tweet : 843
Mentions : 11959
Self-Loops : 906
Reciprocated Vertex Pair Ratio : 0.0472047389855609
Reciprocated Edge Ratio : 0.0901537917624182
Connected Components : 574
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 4575
Maximum Edges in a Connected Component : 23520
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.466333
Graph Density : 0.000260325013731834
Modularity : 0.353189
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,593 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 Sunday, 25 December 2022 at 10:45 UTC.

The requested start date was Sunday, 25 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, 15-hour, 46-minute period from Friday, 16 December 2022 at 20:28 UTC to Friday, 23 December 2022 at 12:15 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:
[431] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[224] https://www.zoeharcombe.com/2020/12/chadox1-ncov-19-the-lancet-papers/
[135] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[100] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[99] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html#:~:text=When%20someone%20who%20is%20vaccinated,a%20%E2%80%9Cvaccine%20breakthrough%20infection.%E2%80%9D
[99] https://pubmed.ncbi.nlm.nih.gov/35313532/
[85] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[74] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyoukakuho-phase041220.html
[60] https://ncov.kdca.go.kr/
[53] https://ncov.kdca.go.kr

Top URLs in Tweet in G1:
[8] https://twitter.com/_2019_nCoV/status/1604415297762492416?s=20
[4] https://odysee.com/@YoYoOfficiel:d/le-grand-zapping-2022:2
[4] https://twitter.com/_2019_nCoV/status/1604493211656912896?s=20
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html#:~:text=When%20someone%20who%20is%20vaccinated,a%20%E2%80%9Cvaccine%20breakthrough%20infection.%E2%80%9D
[4] https://pubmed.ncbi.nlm.nih.gov/35313532/
[3] https://twitter.com/Garcin_Lazard/status/1604072981004750848?t=u8GuVs6PojUDINZ407zIIA&s=19
[3] https://www.lepoint.fr/societe/coupe-du-monde-2022-le-cout-exorbitant-des-allers-retours-de-macron-au-qatar-18-12-2022-2502181_23.php#11
[3] https://www.nytimes.com/2022/03/09/opinion/pandemic-memory.html?smid=tw-share
[2] https://twitter.com/i/status/1604161062273576961
[2] https://twitter.com/_2019_nCoV/status/1604157695279317000?s=20

Top URLs in Tweet in G2:
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/downloads/needs-extra-precautions/fs_covid_plan_final.pdf?utm_source=Public+Health+Updates&utm_campaign=03e262b8f2-EMAIL_CAMPAIGN_2020_07_13_04_02_COPY_01&utm_medium=email&utm_term=0_7b4655f81b-03e262b8f2-198686124
[4] https://www.cdc.gov/coronavirus/2019-ncov/travelers/index.html
[4] https://www.obgproject.com/2020/04/07/cdc-releases-health-update-on-novel-coronavirus-2019-ncov-in-wuhan-china/
[4] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/global-response-strategy.html
[3] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html

Top URLs in Tweet in G3:
[86] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html#:~:text=When%20someone%20who%20is%20vaccinated,a%20%E2%80%9Cvaccine%20breakthrough%20infection.%E2%80%9D
[86] https://pubmed.ncbi.nlm.nih.gov/35313532/
[3] https://odysee.com/@vcuendet:1/-Confe%CC%81rence-de-presse-sur-les-conse%CC%81quences-de-la-vaccination:9
[3] https://twitter.com/PanDanTag/status/1604990788458500097
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548747/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481526/
[1] https://marclegrandecrivain.wordpress.com/2022/12/18/que-veut-vraiment-vladimir-poutine-article/
[1] https://twitter.com/alocin96983806/status/1604477026379108353
[1] https://twitter.com/davy_tweet/status/1516091567647383562
[1] https://twitter.com/NicolasPichot6/status/1600885021945917442

Top URLs in Tweet in G4:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html#:~:text=When%20someone%20who%20is%20vaccinated,a%20%E2%80%9Cvaccine%20breakthrough%20infection.%E2%80%9D
[7] https://pubmed.ncbi.nlm.nih.gov/35313532/
[5] https://twitter.com/LacremVideo/status/1603367365370077186?s=20&t=Onn2OiotEvG4h8FZgdnhBg
[3] https://twitter.com/PanDanTag/status/1604990788458500097
[2] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html
[2] https://www.facebook.com/Capitainehervemoreau/videos/1960031431006258/?extid=CL-UNK-UNK-UNK-IOS_GK0T-GK1C&mibextid=2Rb1fB
[2] https://twitter.com/Randy64_fr/status/1604491166053027840
[1] https://www.youtube.com/watch?v=W60Q42vJKCE&feature=youtu.be

[1] https://twitter.com/maxdelvallee/status/1597208536848961538
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609644/

Top URLs in Tweet in G5:
[221] https://www.zoeharcombe.com/2020/12/chadox1-ncov-19-the-lancet-papers/
[2] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1

Top URLs in Tweet in G6:
[11] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[10] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11688-covid19-9999.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/travelers/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[7] https://c11.kr/joao
[7] https://ncv.kdca.go.kr/ncov/
[7] https://ncov.kdca.go.kr/
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/testing.html

Top URLs in Tweet in G7:
[424] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[124] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[9] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[8] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message
[7] https://www.catapoke.com/viewer/?open=62b3f
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11688-covid19-9999.html
[6] http://pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.kantei.go.jp/jp/headline/kansensho/vaccine.html
[5] https://www.soumu.go.jp/main_sosiki/jichi_gyousei/daityo/jinkou_jinkoudoutai-setaisuu.html
[4] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html

Top URLs in Tweet in G8:
[69] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyoukakuho-phase041220.html
[25] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20221216.html
[22] https://www.cdc.gov/coronavirus/2019-ncov/hcp/faq.html
[19] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11688-covid19-9999.html
[12] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyou-senyu.html
[9] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=
[9] https://twitcasting.tv/planetrock2014
[7] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[6] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[5] https://twitter.com/dondeli/status/1604037231357833217

Top URLs in Tweet in G9:
[23] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[11] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf
[10] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf?sc_lang=en
[3] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200127-sitrep-7-2019--ncov.pdf?sfvrsn=98ef79f5_2
[2] https://www.publichealthontario.ca/-/media/Documents/nCoV/ipac/2022/04/post-acute-covid-syndrome-pacs.pdf?sc_lang=en
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11680-sars-cov-2-23.html
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200128-sitrep-8-ncov-cleared.pdf?sfvrsn=8b671ce5_2
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417913/
[1] https://docs.google.com/document/d/e/2PACX-1vTnR8CNo_Q-ohy8EJ0NkfG3TGcC-1YFBxWil1HsjK6JLYwbDkWphcHCbN4A6ReVBVL01nBCEGwl4i_e/pub
[1] https://twitter.com/SKGandhiMD/status/1604302036597899264?s=20&t=FCHY2b6NJ4fTOPbHHoNZ8g

Top URLs in Tweet in G10:
[5] https://liverpoolchildrenadvocacy.com/citizen-analysis-chadox1-ncov-19-the-lancet-papers/
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?sc_lang=en
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myo-outcomes.html
[1] https://www.zoeharcombe.com/2020/12/chadox1-ncov-19-the-lancet-papers/
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/about-covid-19/antibodies.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html#:~:text=CDC%20monitors%20reported%20vaccine%20breakthrough,the%20CDC%20COVID%20Data%20Tracker

Top Domains
Top Domains in Tweet in Entire Graph:
[892] cdc.gov
[478] ibaraki.jp
[401] lg.jp
[262] twitter.com
[224] zoeharcombe.com
[155] go.kr
[125] nih.gov
[117] go.jp
[89] recombinomics.co
[59] publichealthontario.ca

Top Domains in Tweet in G1:
[111] twitter.com
[14] youtube.com
[7] cdc.gov
[5] pgibertie.com
[4] odysee.com
[4] t.me
[4] nytimes.com
[4] nih.gov
[3] conspiracywatch.info
[3] lepoint.fr

Top Domains in Tweet in G2:
[86] cdc.gov
[4] obgproject.com
[2] twitter.com
[1] elsevierhealth.com
[1] science.org
[1] go.jp
[1] vaccines.gov
[1] covidtests.gov
[1] facebook.com
[1] fda.gov

Top Domains in Tweet in G3:
[94] twitter.com
[88] nih.gov
[86] cdc.gov
[5] odysee.com
[3] youtube.com
[2] crashdebug.fr
[1] wordpress.com
[1] cf2r.org
[1] singulier.eu
[1] reseauinternational.net

Top Domains in Tweet in G4:
[12] twitter.com
[11] cdc.gov
[10] nih.gov
[3] youtube.com
[2] facebook.com
[1] elsevierhealth.com
[1] biomedcentral.com
[1] biorxiv.org

Top Domains in Tweet in G5:
[221] zoeharcombe.com
[2] who.int

Top Domains in Tweet in G6:
[173] cdc.gov
[89] recombinomics.co
[26] go.jp
[19] ibaraki.jp
[18] lg.jp
[15] go.kr
[9] twitter.com
[7] nih.gov
[7] c11.kr
[7] co.jp

Top Domains in Tweet in G7:
[442] ibaraki.jp
[137] lg.jp
[18] go.jp
[7] catapoke.com
[3] co.jp
[1] twitter.com

Top Domains in Tweet in G8:
[124] lg.jp
[28] go.jp
[23] cdc.gov
[9] go.kr
[9] twitcasting.tv
[7] twitter.com
[5] ibaraki.jp
[1] who.int

Top Domains in Tweet in G9:
[28] cdc.gov
[25] publichealthontario.ca
[5] who.int
[3] twitter.com
[2] go.jp
[1] nih.gov
[1] google.com
[1] go.kr
[1] canada.ca
[1] archive.org

Top Domains in Tweet in G10:
[14] cdc.gov
[5] liverpoolchildrenadvocacy.com
[4] publichealthontario.ca
[1] zoeharcombe.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[424] 新型コロナウイルス感染症情報
[365] covid19
[235] covid_19
[29] 新型コロナ
[22] 広島県
[21] covid
[21] 코로나19
[21] 예방접종
[21] 기초접종
[21] 동절기추가접종



Top Hashtags in Tweet in G1:
[10] justicepourlessuspendus
[9] covid_19
[6] mckinsey
[6] mbappe
[5] macron
[5] kalergiplan
[3] fmi
[3] argentinavsfrance
[3] cia
[2] idiocracy

Top Hashtags in Tweet in G2:
[323] covid19
[9] longcovid
[8] covid
[4] flu
[2] niam
[2] sarscov2
[2] houstonhealth
[1] vaccine
[1] vaccination
[1] medtwitter

Top Hashtags in Tweet in G3:
[1] généraldominiquedelawarde
[1] destruction
[1] pédocriminalité
[1] pedoland
[1] nazi
[1] satanist
[1] freemasons
[1] rafles
[1] camps
[1] junalco

Top Hashtags in Tweet in G4:
[2] lilian
[2] ecstasy
[1] macron
[1] macronetsespulsions

Top Hashtags in Tweet in G6:
[11] covid19
[7] 의정부시청
[7] 안전안내문자
[7] 재난문자
[4] sarscov2
[4] covid
[4] cdc
[3] covid_19
[3] vaccines
[3] china

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

Top Hashtags in Tweet in G8:
[16] 千葉県

Top Hashtags in Tweet in G9:
[3] longcovid
[1] longcovidkids
[1] covid19
[1] gbd
[1] milddeath
[1] milddisability

Top Words
Top Words in Tweet in Entire Graph:
[2469] _2019_ncov
[1020] covid
[640] 19
[638] co
[614] cdcgov
[449] casos
[428] 本日の新規陽性者数
[428] 現在の入院者数
[426] 本日の死亡者
[426] 詳細

Top Words in Tweet in G1:
[1420] _2019_ncov
[244] ce
[240] c'est
[218] ils
[182] mais
[149] ça
[146] ah
[140] plus
[128] tout
[108] voulaient

Top Words in Tweet in G2:
[606] cdcgov
[323] #covid19
[203] cdc
[200] covid
[190] public
[178] 19
[174] traveling
[173] transportation
[170] holidays
[165] people

Top Words in Tweet in G3:
[313] sitting_bull_d
[311] _2019_ncov
[292] crashdebug_fr
[240] merkaba72
[230] georgette1918
[228] bugaultv
[212] bourgeoiseliane
[208] alainsebil
[202] mazagan_ft
[201] mazzocchinjrme1

Top Words in Tweet in G4:
[611] _2019_ncov
[87] nad_e_85
[86] alexterieur77
[71] juvingbrunet
[50] ce
[47] ses
[44] plus
[39] ils
[39] supraskurono
[38] ces

Top Words in Tweet in G5:
[236] zoeharcombe
[223] covid
[220] knew
[219] ago
[219] transmission
[219] years
[219] wrote
[219] jabs
[219] two
[218] bee

Top Words in Tweet in G6:
[274] covid
[151] 19
[128] ncov
[101] cases
[99] 2019
[92] deaths
[90] increase
[89] inc
[89] recombinomics
[76] 12

Top Words in Tweet in G7:
[566] co
[426] 現在の入院者数
[426] 本日の新規陽性者数
[424] うち重症者
[424] 詳細
[424] #新型コロナウイルス感染症情報
[424] 本日の死亡者
[414] ibaraki_kouhou
[364] 検査前で症状がある方
[310] 検査

Top Words in Tweet in G8:
[125] dondeli
[69] フェーズ3に引き上げることとなり
[69] 今日から県内全圏域について
[69] 予想通り
[69] 優先順位をつけた入院になってしまいました
[58] もう来週にはフェーズ3になって
[58] 優先順位をつけた入院になるんじゃないかな
[58] に達してしまいました
[58] すでに簡単には入院できない状況になってしまってます
[58] 東葛北部医療圏の病床使用率はとうとう120

Top Words in Tweet in G9:
[66] mamatoronto
[46] game
[46] fun
[44] airborne
[41] guidance
[40] listening
[40] prevention
[38] start
[38] experts
[38] engineers

Top Words in Tweet in G10:
[10] shocktraumarn
[9] hoothathuh
[9] cbeckj
[8] janehogarth84
[6] swaledalemutton
[6] glenpyle
[6] draseemmalhotra
[6] hansel21_
[6] ray_grant_
[6] dr_barrett

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[527] covid,19
[425] 詳細,co
[414] ibaraki_kouhou,#新型コロナウイルス感染症情報
[332] two,years
[310] 検査前で症状がある方,検査
[258] co,qnzux8t4b3
[258] qnzux8t4b3,検査前で症状がある方
[247] covid,jabs
[224] informe,diario
[224] diario,#covid_19

Top Word Pairs in Tweet in G1:
[108] voulaient,j'utilise
[108] ils,voulaient
[75] ah,ah
[54] paul,marik
[54] mon,hôpital
[54] hôpital,ils
[54] dr,paul
[54] marik,mon
[54] vitamine,ils
[54] j'utilise,vitamine

Top Word Pairs in Tweet in G2:
[177] covid,19
[173] public,transportation
[170] traveling,holidays
[164] cdcgov,traveling
[157] masks,indoor
[157] holidays,cdc
[157] recommend,people
[157] people,wear
[157] areas,public
[157] cdc,continues

Top Word Pairs in Tweet in G3:
[167] fredchr86587240,alainsebil
[156] alainsebil,mazagan_ft
[147] zemmoureric,j_bardella
[147] didiermaisto,zemmoureric
[145] jlmelenchon,didiermaisto
[135] royalsegolene,idrissaberkane
[134] idrissaberkane,upr_asselineau
[133] elonmusk,realdonaldtrump
[133] brunolemaire,elonmusk
[133] upr_asselineau,brunolemaire

Top Word Pairs in Tweet in G4:
[87] nad_e_85,_2019_ncov
[85] alexterieur77,nad_e_85
[38] supraskurono,_2019_ncov
[37] _2019_ncov,natalianausica
[37] natalianausica,juvingbrunet
[33] krilin56,_2019_ncov
[32] vikgaule,_2019_ncov
[28] _2019_ncov,juvingbrunet
[28] ils,ont
[25] faites,sciemment

Top Word Pairs in Tweet in G5:
[219] years,ago
[219] jabs,knew
[219] two,years
[219] covid,jabs
[219] knew,transmission
[219] ago,covid
[219] wrote,two
[218] zoeharcombe,wrote
[218] transmission,bee
[38] 000,000

Top Word Pairs in Tweet in G6:
[131] covid,19
[96] 2019,ncov
[89] cases,increase
[89] recombinomics,inc
[89] ncov,recombinomics
[88] covid,cases
[40] website,updated
[40] updated,visit
[36] english,website
[26] learn,more

Top Word Pairs in Tweet in G7:
[424] 詳細,co
[414] ibaraki_kouhou,#新型コロナウイルス感染症情報
[310] 検査前で症状がある方,検査
[258] co,qnzux8t4b3
[258] qnzux8t4b3,検査前で症状がある方
[184] 13名,本日の死亡者
[184] うち重症者,13名
[127] うち重症者,16名
[127] 16名,本日の死亡者
[125] 7名,詳細

Top Word Pairs in Tweet in G8:
[69] 予想通り,今日から県内全圏域について
[69] 今日から県内全圏域について,フェーズ3に引き上げることとなり
[69] フェーズ3に引き上げることとなり,優先順位をつけた入院になってしまいました
[68] dondeli,予想通り
[58] 優先順位をつけた入院になるんじゃないかな,すでに簡単には入院できない状況になってしまってます
[58] もう来週にはフェーズ3になって,優先順位をつけた入院になるんじゃないかな
[58] 東葛北部医療圏の病床使用率はとうとう120,に達してしまいました
[58] 県内でもダントツですね,もう来週にはフェーズ3になって
[58] に達してしまいました,県内でもダントツですね
[57] dondeli,東葛北部医療圏の病床使用率はとうとう120

Top Word Pairs in Tweet in G9:
[46] fun,game
[38] start,listening
[38] maybe,start
[38] experts,engineers
[38] airborne,prevention
[38] listening,guidance
[38] guidance,airborne
[38] prevention,experts
[31] immune,dysregulation
[29] pwhickey,leyla

Top Word Pairs in Tweet in G10:
[6] dr_barrett,draseemmalhotra
[5] maggiemay_313,villagerssn
[5] niall_joe,troydee
[5] barryjohnreid21,shocktraumarn
[5] agent2dark,vikingrefusenik
[5] vikingrefusenik,shocktraumarn
[5] shocktraumarn,chsdoctor
[5] troydee,maggiemay_313
[5] cubanigar,cachepast
[5] cachepast,niall_joe

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@merkaba72
@partageinfos
@ink_caro
@takeheight
@clauderuscica
@cit_dechue
@nik0mi
@vikgaule
@roya_r0

Top Replied-To in G1:
@_2019_ncov
@takeheight
@clauderuscica
@cit_dechue
@nik0mi
@roya_r0
@paulavd2201
@guillaume46
@sebastien7778
@bouboujaja3

Top Replied-To in G2:
@picphysicians
@scottbl82374097
@ashishkjha
@katandstars
@slayshai11
@dansmith2022
@crisschez
@lizszabo
@cdcgov
@potus

Top Replied-To in G3:
@_2019_ncov
@merkaba72
@partageinfos
@ink_caro
@francoisboulo
@sitting_bull_d
@georgette1918
@jchernandezjazz
@tenezduchocolat
@crashdebug_fr

Top Replied-To in G4:
@_2019_ncov
@vikgaule
@ruru63344838
@alexterieur77
@supraskurono
@mormach
@miocco
@blodwyn_kh69_
@philippebodin2
@vhpreui

Top Replied-To in G5:
@ckellyuap
@drmeenalviz
@charmicarmicat5
@benreynen

Top Replied-To in G8:
@masamitsutakeda
@c45425
@lovetaiwansan

Top Replied-To in G9:
@ottawacitizen
@leyladasadi
@oldyesbutwise
@lazaruslong13
@laurenpelley
@tryangregory
@kristy91808800
@gosiagasperophd
@barryhunt008
@raffyflynnart

Top Replied-To in G10:
@janehogarth84
@orwell2023
@cbeckj
@boomerz00m3r
@irontribenation
@nopoisonjabs
@jaytee116james
@ray_grant_
@rubrogram
@swaledalemutton

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@cdcgov
@ibaraki_kouhou
@sitting_bull_d
@crashdebug_fr
@elonmusk
@zoeharcombe
@bugaultv
@georgette1918
@ministeriosalud

Top Mentioned in G1:
@_2019_ncov
@elonmusk
@julienm__
@takeheight
@tronchebiais
@emmanuelmacron
@tatiann69922625
@f_philippot
@brunolemaire
@guillaume46

Top Mentioned in G2:
@cdcgov
@laurie_garrett
@myrabatchelder
@cdcflu
@cdcdirector
@cdcespanol
@mattbc
@alexander_tin
@ebonyjhilton_md
@kcpubhealth

Top Mentioned in G3:
@sitting_bull_d
@crashdebug_fr
@bugaultv
@_2019_ncov
@georgette1918
@bourgeoiseliane
@merkaba72
@alainsebil
@mazagan_ft
@mazzocchinjrme1

Top Mentioned in G4:
@_2019_ncov
@nad_e_85
@alexterieur77
@juvingbrunet
@natalianausica
@supraskurono
@krilin56
@vikgaule
@vhpreui
@p_mcculloughmd

Top Mentioned in G5:
@zoeharcombe
@drkerrynphelps
@dr_musgrave
@kitaustralia
@mathevorowan
@oma_darlin
@yesallcrops

Top Mentioned in G6:
@drml350phd
@voczj
@rosaalberola70
@dr_sdrk
@bosanskakaf
@mrspitbull
@fakenewsdotnews
@grandrounds4ods

Top Mentioned in G7:
@ibaraki_kouhou
@hiroshima_pref
@jaidsenmoni
@chibaken_kouhou
@carpe_diem0820
@geiger_warning
@naa201109

Top Mentioned in G8:
@dondeli
@c45425
@aoihana1213
@angama_market
@ramos262740691
@koheikana
@hiroshima_pref
@planetrock2014
@weselymd
@cdcgov

Top Mentioned in G9:
@mamatoronto
@lisa_iannattone
@pwhickey
@leyladasadi
@gosiagasperophd
@jvipondmd
@keetmuise
@laurenpelley
@tryangregory
@vancityreynolds

Top Mentioned in G10:
@shocktraumarn
@hoothathuh
@hansel21_
@glenpyle
@dr_barrett
@draseemmalhotra
@vikilovesfacs
@cbeckj
@skepticalmutant
@tonybaduy

Top Tweeters
Top Tweeters in Entire Graph:
@remindme_ofthis
@danielpilotte1
@jurylady5
@ecodaren
@macha_oji
@mtokj307
@matiere
@rodolfoxoliz
@m2bliquis
@sippomagari

Top Tweeters in G1:
@danielpilotte1
@mariabadin18
@thalassa2008
@le_figaro
@bfmtv
@mazenod10
@nypost
@le_parisien
@foxnews
@unrollhelper

Top Tweeters in G2:
@lizditz
@lechatnoire4
@katcapps
@b1e56df9ce6549f
@cnbsnana
@adekleine
@eilonwy24
@lorettabower3
@tyberzannxxxx
@hihaku_crescent

Top Tweeters in G3:
@m2bliquis
@bo_chart
@yvespdb
@talullabellefle
@jchernandezjazz
@gerardfiloche
@tuferasface
@lepoint
@daniesteimer
@arcenetac

Top Tweeters in G4:
@sonialavera
@inachiveg
@sarah41659531
@william85837998
@avril_sylvie
@jeanclaudepeyra
@kris_chadi
@blodwyn_kh69_
@guyletyn
@paflaragepaf

Top Tweeters in G5:
@drdaveanddee
@ele9061
@princessofwails
@terrytyler4
@cadiedorange172
@esosa_ca_films
@dianewashr
@ferrino100
@lynette67746779
@mamacee7

Top Tweeters in G6:
@matiere
@personalfitnes3
@didaclopez
@zap2
@sonnykim83
@goito
@timmins316
@kooka2525
@ironorehopper
@thegreenman1949

Top Tweeters in G7:
@shintochigi1
@otakutokkai
@moriai8
@mutoh_z
@_7479989014082
@tsuka_kazunee
@crossline_jp
@turututukotokot
@yasu_osugi
@mazuisake

Top Tweeters in G8:
@ecodaren
@macha_oji
@sippomagari
@sosorasora3
@citrus_kyoto
@yochan87
@seki_yo
@uchida_kawasaki
@fearless_taisho
@machiboni

Top Tweeters in G9:
@cheryl_marlin
@daveyk317
@arcticfox_am_i
@debp197
@jchilton666
@marypgkeating
@ottawacitizen
@die_primel
@chrislancashir3
@internetbiz911

Top Tweeters in G10:
@doritmi
@monstercoyliar
@takethatct
@mcfunny
@the_ouroboros__
@angryfleas
@nockit1
@maryloupatey
@wendyorent
@pawley_robert


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