NCoV, Twitter, 12/19/2022 5:29:21 PM, 286607


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NCoV_2022-12-19_02-30-02.xlsx
NCoV_2022-12-19_02-30-02.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 19, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3YMP23J
@_2019_ncov
@zoeharcombe
@cdcgov
@pinsollet
@drmattmelton18
@elonmusk
@atrupar
@philsilverman7
@drjbhattacharya
@osirislynn

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

Description:
Description
The graph represents a network of 6,441 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 Monday, 19 December 2022 at 10:46 UTC.

The requested start date was Monday, 19 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 4-day, 22-hour, 18-minute period from Tuesday, 13 December 2022 at 14:08 UTC to Sunday, 18 December 2022 at 12:26 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 : 6441
Unique Edges : 7978
Edges With Duplicates : 27356
Total Edges : 35334
Number of Edge Types : 5
Replies to : 3122
Retweet : 3893
MentionsInRetweet : 8594
Mentions : 19104
Tweet : 621
Self-Loops : 674
Reciprocated Vertex Pair Ratio : 0.0390387992974613
Reciprocated Edge Ratio : 0.0751440645409143
Connected Components : 454
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 4937
Maximum Edges in a Connected Component : 33110
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.368249
Graph Density : 0.00031376536763224
Modularity : 0.30939
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,441 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 Monday, 19 December 2022 at 10:46 UTC.

The requested start date was Monday, 19 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 4-day, 22-hour, 18-minute period from Tuesday, 13 December 2022 at 14:08 UTC to Sunday, 18 December 2022 at 12:26 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:
[359] https://www.zoeharcombe.com/2020/12/chadox1-ncov-19-the-lancet-papers/
[309] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[114] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[77] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[62] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[34] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[32] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[30] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message
[28] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-1209982
[27] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html

Top URLs in Tweet in G1:
[23] https://twitter.com/Elpis_R/status/1595402914155368450?t=AmZSH6p9ITeeSofmohEkoA&s=19
[8] https://finance.yahoo.com/news/blackrock-world-largest-asset-manager-223000827.html
[5] https://www.reuters.com/business/sustainable-business/vanguard-quits-net-zero-climate-alliance-2022-12-07/
[4] https://twitter.com/_2019_nCoV/status/1603030432790061056?s=20
[4] https://twitter.com/_2019_nCoV/status/1603098203422859267?s=20
[3] https://twitter.com/_2019_nCoV/status/1603064934635642882?s=20
[3] https://odysee.com/@YoYoOfficiel:d/le-grand-zapping-2022:2
[2] https://twitter.com/AlexBazzaro/status/1602699763526389760?s=20
[2] https://twitter.com/DeBunKerEtoiles/status/1602973239524921344
[2] https://twitter.com/i/status/1604161062273576961

Top URLs in Tweet in G2:
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myo-outcomes.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html#:~:text=The%20largest%20droplets%20settle%20out,air%20for%20minutes%20to%20hours
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/safety-of-vaccines.html
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-therapeutics-2022.4
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-Therapeutics-Remdesivir-Poster_A-2022.1

Top URLs in Tweet in G3:
[3] https://twitter.com/Elpis_R/status/1595402914155368450?t=AmZSH6p9ITeeSofmohEkoA&s=19
[2] https://www.reuters.com/business/sustainable-business/vanguard-quits-net-zero-climate-alliance-2022-12-07/
[1] https://twitter.com/Sitting_Bull_D/status/1603695092543414272
[1] https://twitter.com/Sitting_Bull_D/status/1479903058477961221
[1] https://twitter.com/CsapeForce/status/1563317193223245826
[1] https://twitter.com/Sitting_Bull_D/status/1603345427172331521
[1] https://twitter.com/tatiann69922625/status/1601962567009714178
[1] https://twitter.com/DidierMaisto/status/1602550180879933442
[1] https://twitter.com/RWMaloneMD/status/1602807668460109826
[1] https://odysee.com/@valeriebugault:c/80-BAM-Val%C3%A9rie-Bugault-Nous-vivons-dans-une-imposture-16-juin-2022:0

Top URLs in Tweet in G4:
[353] https://www.zoeharcombe.com/2020/12/chadox1-ncov-19-the-lancet-papers/
[8] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?sc_lang=en
[1] https://www.cdc.gov/coronavirus/2019-ncov/downloads/clinical-care/E-Physical-Inactivity-Review.pdf
[1] https://publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf

Top URLs in Tweet in G5:
[9] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[3] 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://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9930-488d01.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/index.html
[2] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200127-sitrep-7-2019--ncov.pdf?sfvrsn=98ef79f5_2
[2] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html

Top URLs in Tweet in G6:
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html#:~:text=to%20Enhance%20Recovery-,Symptoms,away%20or%20come%20back%20again
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html?s_cid=10506:does%20the%20covid%2019%20vaccine%20change%20your%20dna:sem.ga:p:RG:GM:gen:PTN:FY21
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[1] https://www.who.int/news-room/feature-stories/detail/the-moderna-covid-19-mrna-1273-vaccine-what-you-need-to-know
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccines-SAGE_recommendation-BNT162b2-2021.1

Top URLs in Tweet in G7:
[2] https://twitter.com/CercleAudace/status/1602037230255722497?t=RcbMOv3d_eM0vF0jIKCVgw&s=19
[1] https://www.theatlantic.com/health/archive/2022/10/covid-symptoms-medium-term-post-infection-complications/671684/
[1] https://twitter.com/PChaibriant/status/1604009367736573953?t=9RpngtoyC_aZJPyCbnGnSg&s=19
[1] https://twitter.com/brunolp30/status/1602642570844192768?t=zNynu3sXTT8XLpmq84XCKw&s=19
[1] https://twitter.com/morandiniblog/status/1603680596059906049?t=gmAtR-pJtoPH_BbNzMvKIA&s=19
[1] https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-022-02606-8

Top URLs in Tweet in G8:
[303] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[58] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[25] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[6] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[5] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[5] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/221217_stage3.html
[1] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/bivalent-booster.html
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/online-center.html

Top URLs in Tweet in G9:
[14] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11688-covid19-9999.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/travelers/index.html
[5] https://ncov.kdca.go.kr/
[5] https://c11.kr/joao
[5] https://ncv.kdca.go.kr/ncov/
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html

Top URLs in Tweet in G10:
[102] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[30] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message
[19] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyou-senyu.html
[9] https://twitcasting.tv/planetrock2014
[6] https://www.catapoke.com/viewer/?open=62b3f
[5] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=
[3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[2] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html#coronashihyou
[2] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/documents/20221216suii.pdf
[2] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/idwr/influ_taisaku/kyougikai.html

Top Domains
Top Domains in Tweet in Entire Graph:
[553] cdc.gov
[359] zoeharcombe.com
[350] ibaraki.jp
[319] twitter.com
[280] lg.jp
[77] recombinomics.co
[60] go.jp
[51] bvsalud.org
[49] publichealthontario.ca
[43] gob.es

Top Domains in Tweet in G1:
[110] twitter.com
[9] yahoo.com
[8] youtube.com
[6] pgibertie.com
[5] reuters.com
[4] t.me
[3] wikipedia.org
[3] odysee.com
[2] naturalnews.com
[2] theatlantic.com

Top Domains in Tweet in G2:
[14] cdc.gov
[2] who.int

Top Domains in Tweet in G3:
[174] twitter.com
[5] crashdebug.fr
[2] youtube.com
[2] naturalnews.com
[2] reuters.com
[1] odysee.com
[1] clubderklarenworte.de
[1] lelibrepenseur.org
[1] lesakerfrancophone.fr
[1] cf2r.org

Top Domains in Tweet in G4:
[353] zoeharcombe.com
[9] publichealthontario.ca
[1] cdc.gov

Top Domains in Tweet in G5:
[65] cdc.gov
[4] who.int
[3] go.jp
[1] tweetedtimes.com
[1] zoeharcombe.com
[1] twitter.com
[1] bvsalud.org
[1] google.com
[1] jhu.edu
[1] jamanetwork.com

Top Domains in Tweet in G6:
[9] cdc.gov
[2] who.int

Top Domains in Tweet in G7:
[5] twitter.com
[1] theatlantic.com
[1] biomedcentral.com

Top Domains in Tweet in G8:
[312] ibaraki.jp
[96] lg.jp

Top Domains in Tweet in G9:
[104] cdc.gov
[77] recombinomics.co
[16] go.jp
[14] ibaraki.jp
[11] nih.gov
[11] go.kr
[9] twitter.com
[6] lg.jp
[5] who.int
[5] publichealthontario.ca

Top Domains in Tweet in G10:
[160] lg.jp
[9] twitcasting.tv
[6] catapoke.com
[5] go.kr
[4] ibaraki.jp
[1] twitter.com
[1] go.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[303] 新型コロナウイルス感染症情報
[228] covid_19
[113] covid19
[30] covid
[16] 코로나19
[16] 예방접종
[16] 기초접종
[16] 동절기추가접종
[16] 백신
[16] 방역



Top Hashtags in Tweet in G1:
[14] covid_19
[9] zelensky
[8] wef
[6] lilian
[6] ecstasy
[5] macron
[5] justicepourlessuspendus
[4] pfizer
[3] vanguard
[3] twitter

Top Hashtags in Tweet in G2:
[1] covidiot

Top Hashtags in Tweet in G3:
[2] vanguard
[1] zelensky
[1] parlementeuropéen
[1] raphaelglucksman
[1] georgie
[1] ukraine
[1] usa
[1] panporapapers
[1] destruction
[1] pédocriminalité

Top Hashtags in Tweet in G5:
[47] covid19
[27] covid
[8] longcovid
[2] ourbestshot
[2] covidvaccine
[2] covid19vaccinations
[2] getvaccinated
[2] maskup
[2] stayhealthy
[1] sharenimh

Top Hashtags in Tweet in G7:
[1] francesoirlavaitdit
[1] effetssecondaires
[1] mauricette
[1] maximebeltra

Top Hashtags in Tweet in G8:
[303] 新型コロナウイルス感染症情報
[10] 千葉県庁

Top Hashtags in Tweet in G9:
[9] covid19
[5] 의정부시청
[5] 안전안내문자
[5] 재난문자
[4] cdc
[2] juntospodemos
[2] unrestrictedbioweapon
[1] covid
[1] boosters
[1] bivalent

Top Hashtags in Tweet in G10:
[6] 広島県
[6] 新型コロナ

Top Words
Top Words in Tweet in Entire Graph:
[2836] _2019_ncov
[1585] covid
[635] sitting_bull_d
[572] vaccines
[565] alainsebil
[565] 19
[553] bourgeoiseliane
[548] mazagan_ft
[523] fredchr86587240
[522] vax

Top Words in Tweet in G1:
[2055] _2019_ncov
[330] c'est
[293] ce
[205] ça
[176] ils
[174] plus
[159] mais
[151] sont
[147] tout
[121] ont

Top Words in Tweet in G2:
[501] covid
[498] vaccines
[498] vax
[497] atrupar
[497] using
[497] roundtable
[497] anti
[497] scientists
[497] kill
[497] surgeon

Top Words in Tweet in G3:
[627] sitting_bull_d
[563] alainsebil
[550] bourgeoiseliane
[544] mazagan_ft
[520] fredchr86587240
[463] crashdebug_fr
[442] _2019_ncov
[421] invismith
[413] partageinfos
[400] georgette1918

Top Words in Tweet in G4:
[381] zoeharcombe
[354] covid
[354] knew
[353] wrote
[353] years
[353] jabs
[353] transmission
[353] ago
[353] two
[352] bee

Top Words in Tweet in G5:
[236] covid
[204] cdcgov
[197] 19
[143] more
[139] learn
[138] prevent
[120] help
[118] traveling
[117] flu
[117] holidays

Top Words in Tweet in G6:
[4] mcfunny
[4] angryfleas
[4] barryjohnreid21
[4] kevinoler
[3] kevinault
[3] vincegottalotta
[3] caperloo5
[3] sasquatch4eva
[3] antwindmill
[3] againmothra

Top Words in Tweet in G7:
[161] julienm__
[123] ils
[112] _2019_ncov
[108] j'utilise
[108] voulaient
[100] votre
[75] tatiann69922625
[56] dr
[55] vitamine
[55] mon

Top Words in Tweet in G8:
[325] co
[313] 現在の入院者数
[303] 本日の新規陽性者数
[303] #新型コロナウイルス感染症情報
[303] うち重症者
[303] 詳細
[303] 本日の死亡者
[297] ibaraki_kouhou
[243] 検査前で症状がある方
[181] 検査

Top Words in Tweet in G9:
[150] covid
[122] ncov
[108] 2019
[87] cases
[82] deaths
[77] increase
[77] inc
[77] recombinomics
[75] 19
[61] 12

Top Words in Tweet in G10:
[178] 12
[126] hiroshima_pref
[109] co
[102] 19
[102] information
[102] の広島県内の感染状況
[102] languages
[102] 本日の感染者はコチラ
[102] covid
[102] 本日

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[506] fredchr86587240,alainsebil
[505] covid,vaccines
[502] anti,vax
[501] quack,surgeon
[501] roundtable,suggest
[501] vaccines,kill
[501] surgeon,general
[501] vax,roundtable
[501] general,using
[501] desantis's,quack

Top Word Pairs in Tweet in G1:
[104] nad_e_85,_2019_ncov
[102] alexterieur77,nad_e_85
[86] _2019_ncov,bfmtv
[85] _2019_ncov,c'est
[62] ils,ont
[47] supraskurono,_2019_ncov
[44] ah,ah
[41] peut,être
[35] vhpreui,_2019_ncov
[34] _2019_ncov,dire

Top Word Pairs in Tweet in G2:
[497] vax,roundtable
[497] kill,scientists
[497] roundtable,suggest
[497] quack,surgeon
[497] vaccines,kill
[497] covid,vaccines
[497] suggest,covid
[497] desantis's,quack
[497] using,anti
[497] surgeon,general

Top Word Pairs in Tweet in G3:
[504] fredchr86587240,alainsebil
[477] alainsebil,mazagan_ft
[415] mazagan_ft,invismith
[341] jlmelenchon,didiermaisto
[333] didiermaisto,zemmoureric
[329] georgette1918,fredchr86587240
[329] bourgeoiseliane,georgette1918
[326] zemmoureric,j_bardella
[317] j_bardella,emmanuelmacron
[296] emmanuelmacron,royalsegolene

Top Word Pairs in Tweet in G4:
[353] covid,jabs
[353] jabs,knew
[353] two,years
[353] wrote,two
[353] years,ago
[353] ago,covid
[353] knew,transmission
[352] zoeharcombe,wrote
[352] transmission,bee
[56] 000,000

Top Word Pairs in Tweet in G5:
[197] covid,19
[138] learn,more
[116] 19,flu
[116] prevent,spread
[116] flu,respiratory
[116] traveling,holidays
[116] spread,covid
[116] help,prevent
[113] infections,learn
[113] respiratory,infections

Top Word Pairs in Tweet in G6:
[2] aimhighffw,mtsand3
[2] karlton111,againmothra
[2] kleeontheright,trubyte
[2] ianb_67,tomsirolimus
[2] webguytv,crogers1973
[2] againmothra,__teekeemon
[2] lordbutters22,angry_mema
[2] mtsand3,flattielover
[2] wendyorent,tonybaduy
[2] tip_ct,ultraglamma

Top Word Pairs in Tweet in G7:
[108] ils,voulaient
[108] voulaient,j'utilise
[54] dr,paul
[54] marik,mon
[54] j'utilise,vitamine
[54] paul,marik
[54] vitamine,ils
[54] mon,hôpital
[54] hôpital,ils
[53] julienm__,dr

Top Word Pairs in Tweet in G8:
[303] 詳細,co
[297] ibaraki_kouhou,#新型コロナウイルス感染症情報
[181] 検査前で症状がある方,検査
[164] co,qnzux8t4b3
[164] qnzux8t4b3,検査前で症状がある方
[133] co,qnzux8c1z3
[117] 本日の死亡者,8名
[117] 8名,詳細
[115] うち重症者,14名
[115] 14名,本日の死亡者

Top Word Pairs in Tweet in G9:
[101] 2019,ncov
[77] recombinomics,inc
[77] cases,increase
[77] ncov,recombinomics
[76] covid,cases
[54] covid,19
[16] sars,cov
[15] learn,more
[13] ncov,19
[12] 2022,12

Top Word Pairs in Tweet in G10:
[102] multiple,languages
[102] 本日の感染者はコチラ,co
[102] information,multiple
[102] 本日,12
[102] の広島県内の感染状況,本日の感染者はコチラ
[102] languages,covid
[102] covid,19
[96] hiroshima_pref,本日
[61] co,aynlae1ivh
[61] aynlae1ivh,information

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@merkaba72
@sitting_bull_d
@partageinfos
@julienm__
@sohesun
@natly12533573
@francoisboulo
@georgette1918
@crashdebug_fr

Top Replied-To in G1:
@_2019_ncov
@sohesun
@supraskurono
@debunkeretoiles
@immortellexiii
@alexterieur77
@vikgaule
@bfmtv
@marilynnemeur
@emmanuelmacron

Top Replied-To in G2:
@s_thompsett
@florencemumflos
@bipolarsarah
@lithobolos
@metalsd_68
@lunchbox0718
@jen29575
@lisamikolajczy3
@zjk_12
@jamessurowiecki

Top Replied-To in G3:
@merkaba72
@sitting_bull_d
@partageinfos
@_2019_ncov
@natly12533573
@francoisboulo
@georgette1918
@crashdebug_fr
@ink_caro
@jchernandezjazz

Top Replied-To in G4:
@zoeharcombe
@clarecraigpath
@rogerthegoodwin
@jamesmelville
@justtryin2getby
@ptruthspeaker
@ozraeliavi
@leehammondmx

Top Replied-To in G5:
@picphysicians
@blackknight10k
@scottbl82374097
@dirtydogdancing
@marynasca60
@xrayfactor
@lisaawright
@painprincess3
@bylenasun
@truth000zone

Top Replied-To in G6:
@barryjohnreid21
@nobusinessyours
@375norselegend
@jimeeliberty
@giannmi
@8brianvogel4
@astragal
@btc_there4_i_am
@kevinault

Top Replied-To in G7:
@_2019_ncov
@julienm__
@lapinkres
@georgeprofonde8
@fandemarlene
@anonyme__777
@calamyjane
@marc_doyer
@xazalbert
@beauntel

Top Replied-To in G10:
@c45425

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@sitting_bull_d
@alainsebil
@bourgeoiseliane
@mazagan_ft
@fredchr86587240
@atrupar
@crashdebug_fr
@invismith
@georgette1918

Top Mentioned in G1:
@_2019_ncov
@nad_e_85
@bfmtv
@alexterieur77
@tpmp
@supraskurono
@elonmusk
@vhpreui
@gg_rmc
@upr_asselineau

Top Mentioned in G2:
@atrupar
@govrondesantis
@kevincate
@martinkulldorff
@drjbhattacharya
@tracybethhoeg
@stabellbenn
@bretweinstein
@stemplet74
@josephfraiman

Top Mentioned in G3:
@sitting_bull_d
@alainsebil
@bourgeoiseliane
@mazagan_ft
@fredchr86587240
@crashdebug_fr
@invismith
@_2019_ncov
@georgette1918
@didiermaisto

Top Mentioned in G4:
@zoeharcombe
@holmenkollin
@m1066r
@johnstone32
@clarecraigpath
@denisrancourt
@dempz8
@thecoastguy
@rogerthegoodwin
@louan07

Top Mentioned in G5:
@cdcgov
@weselymd
@myrabatchelder
@ohaoregon
@cdcespanol
@dfisman
@queer_spice
@ebonyjhilton_md
@usagovespanol
@davidcoss

Top Mentioned in G6:
@angryfleas
@mcfunny
@kevinoler
@angry_mema
@againmothra
@vincegottalotta
@antwindmill
@kimmsue70
@caperloo5
@sasquatch4eva

Top Mentioned in G7:
@julienm__
@_2019_ncov
@tatiann69922625
@planetes360
@nova153
@poulin2012
@winteroakpress
@docteurpeb1
@unifred6
@lapinkres

Top Mentioned in G8:
@ibaraki_kouhou
@chibaken_kouhou
@ibk44
@hiroshima_pref
@ooaminavi
@tsukubais
@cdcgov

Top Mentioned in G9:
@drml350phd
@benasnow
@voczj
@cccnaphealth

Top Mentioned in G10:
@hiroshima_pref
@dondeli
@c45425
@koheikana
@morecleanenergy
@planetrock2014
@noel_hasui

Top Tweeters
Top Tweeters in Entire Graph:
@missb62
@simanekomama
@jurylady5
@mtokj307
@matiere
@mattmurph24
@cagney1991
@serendipitysays
@sippomagari
@sosorasora3

Top Tweeters in G1:
@sonialavera
@inachiveg
@le_figaro
@bfmtv
@mazenod10
@talullabellefle
@sarah41659531
@evymoyenin
@marie_joseph_p
@saveflix

Top Tweeters in G2:
@missb62
@mattmurph24
@cagney1991
@serendipitysays
@debilu2
@marthalynneowe1
@mayirmamay14
@sar_oso
@bellesapepper37
@princessbravato

Top Tweeters in G3:
@botliberalisme
@altai_armande
@loudl
@bo_chart
@yvespdb
@ninasouky70
@jchernandezjazz
@gerardfiloche
@franceinfo
@populiste63

Top Tweeters in G4:
@drdaveanddee
@rmack2x
@princessofwails
@terrytyler4
@cristinadobre
@paddynenagh
@imchaffie
@lucky88duck
@cadiedorange172
@dopaminergic13

Top Tweeters in G5:
@katcapps
@ungubunugu1274
@deepvard
@tyberzannxxxx
@trumpgot2go
@nozakitakehide
@austinlouis5
@zardoz420wpn
@ygjumi
@katelaity

Top Tweeters in G6:
@marvinrjeffcoat
@doritmi
@vincegottalotta
@kleeontheright
@monstercoyliar
@jds44894884
@carlbotha2
@ams0035
@mcfunny
@angryfleas

Top Tweeters in G7:
@mariabadin18
@anabellatibo
@cazmariani
@nova153
@chaoserebegaia
@kocherchristia4
@planetes360
@charivarii1
@botantipass
@ao_estica_zz

Top Tweeters in G8:
@lemon1931
@kokusizu2
@takuya_0929001
@mintgreennaneko
@shada026
@mutoh_z
@tsuka_kazunee
@takumi_0331
@sgr_kn
@dummyxtweet

Top Tweeters in G9:
@matiere
@personalfitnes3
@npsusa
@didaclopez
@zap2
@kooka2525
@timmins316
@gate_15_analyst
@fujikurok
@zypldot

Top Tweeters in G10:
@simanekomama
@sippomagari
@sosorasora3
@citrus_kyoto
@seki_yo
@uchida_kawasaki
@zimei_no_ri
@fearless_taisho
@machiboni
@lily_victoria


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