NCoV, Twitter, 12/22/2022 11:51:16 AM, 286763
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NCoV_2022-12-22_03-28-17.xlsx
NCoV_2022-12-22_03-28-17.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
December 22, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3CiiGUT
@_2019_ncov
@cdcgov
@potus
@digiphile
@ibaraki_kouhou
@77piment7777777
@elonmusk
@mcfunny
@701_kami
@hiroshima_pref

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

Description:
Description
The graph represents a network of 6,343 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 Thursday, 22 December 2022 at 11:43 UTC.

The requested start date was Thursday, 22 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 5-day, 17-hour, 0-minute period from Thursday, 15 December 2022 at 19:24 UTC to Wednesday, 21 December 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 : 6343
Unique Edges : 7663
Edges With Duplicates : 22919
Total Edges : 30582
Number of Edge Types : 5
Retweet : 3575
MentionsInRetweet : 7746
Mentions : 15164
Replies to : 3347
Tweet : 750
Self-Loops : 825
Reciprocated Vertex Pair Ratio : 0.0495364010989011
Reciprocated Edge Ratio : 0.0943967280163599
Connected Components : 499
Single-Vertex Connected Components : 184
Maximum Vertices in a Connected Component : 4474
Maximum Edges in a Connected Component : 27727
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.49996
Graph Density : 0.000303898053725
Modularity : 0.327848
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,343 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 Thursday, 22 December 2022 at 11:43 UTC.

The requested start date was Thursday, 22 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 5-day, 17-hour, 0-minute period from Thursday, 15 December 2022 at 19:24 UTC to Wednesday, 21 December 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:
[373] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[222] https://www.zoeharcombe.com/2020/12/chadox1-ncov-19-the-lancet-papers/
[122] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[98] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[74] 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
[74] https://pubmed.ncbi.nlm.nih.gov/35313532/
[70] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[70] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyoukakuho-phase041220.html
[44] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11688-covid19-9999.html
[39] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html

Top URLs in Tweet in G1:
[8] https://twitter.com/_2019_nCoV/status/1604415297762492416?s=20
[6] 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
[6] https://pubmed.ncbi.nlm.nih.gov/35313532/
[5] https://twitter.com/LacremVideo/status/1603367365370077186?s=20&t=Onn2OiotEvG4h8FZgdnhBg
[4] https://twitter.com/_2019_nCoV/status/1604493211656912896?s=20
[3] https://twitter.com/Garcin_Lazard/status/1604072981004750848?t=u8GuVs6PojUDINZ407zIIA&s=19
[3] https://odysee.com/@YoYoOfficiel:d/le-grand-zapping-2022:2
[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
[2] https://twitter.com/i/status/1604161062273576961
[2] https://twitter.com/_2019_nCoV/status/1604157695279317000?s=20

Top URLs in Tweet in G2:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[4] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/global-response-strategy.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html

Top URLs in Tweet in G3:
[5] https://twitter.com/PanDanTag/status/1604990788458500097
[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/
[1] https://twitter.com/PaulaVD2201/status/1605486814600474625
[1] https://www.capital.fr/economie-politique/corruption-au-parlement-europeen-la-mise-en-garde-du-qatar-contre-les-mesures-prises-1455181
[1] https://twitter.com/Dr_Steph_GAYET/status/1604809803636916224
[1] https://twitter.com/J_Bardella/status/1602263242327445506
[1] https://twitter.com/SuprasKurono/status/1601954814673444866
[1] https://twitter.com/idlibertes/status/1603415229244866561
[1] https://twitter.com/patrick26381632/status/1602552954271461378

Top URLs in Tweet in G4:
[61] 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
[61] https://pubmed.ncbi.nlm.nih.gov/35313532/
[3] https://twitter.com/SarahHRakM/status/1604543397502812160?s=20&t=ed4ZloS2nnGwYOU86t6DkA
[3] https://www.nytimes.com/2022/03/09/opinion/pandemic-memory.html?smid=tw-share
[2] https://odysee.com/@YoYoOfficiel:d/le-grand-zapping-2022:2
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548747/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481526/
[1] https://twitter.com/drdenwalker/status/1604334056111579137
[1] https://crowdbunker.com/v/x8X1qCc2f5
[1] https://lecourrier-du-soir.com/coup-de-theatre-von-der-leyen-vient-detre-citee-dans-un-grave-scandale-de-corruption-portant-sur-60-000-euros/

Top URLs in Tweet in G5:
[220] 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
[1] https://www.mayoclinic.org/diseases-conditions/coronavirus/in-depth/coronavirus-mask/art-20485449
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html

Top URLs in Tweet in G6:
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html?s_cid=11761:ingredients%20in%20covid%20vaccine:sem.ga:p:RG:GM:gen:PTN:FY22
[1] 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
[1] https://pubmed.ncbi.nlm.nih.gov/35313532/
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vsafepregnancyregistry.html
[1] https://nextstrain.org/ncov/open/global/6m
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html

Top URLs in Tweet in G7:
[367] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[112] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[30] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message
[7] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[6] https://www.catapoke.com/viewer/?open=62b3f
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11688-covid19-9999.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
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[2] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html

Top URLs in Tweet in G8:
[14] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[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
[7] https://ncov.kdca.go.kr/
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[6] https://c11.kr/joao
[6] https://ncv.kdca.go.kr/ncov/
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[4] https://www.cdc.gov/coronavirus/2019-ncov/travelers/index.html

Top URLs in Tweet in G9:
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.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/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/vaccines/safety/myocarditis.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html

Top URLs in Tweet in G10:
[66] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyoukakuho-phase041220.html
[25] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20221216.html
[19] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyou-senyu.html
[15] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11688-covid19-9999.html
[9] https://twitcasting.tv/planetrock2014
[9] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=
[6] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[4] https://twitter.com/dondeli/status/1604037231357833217
[4] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[2] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html#coronashihyou

Top Domains
Top Domains in Tweet in Entire Graph:
[747] cdc.gov
[415] ibaraki.jp
[396] lg.jp
[313] twitter.com
[222] zoeharcombe.com
[106] go.jp
[90] nih.gov
[70] go.kr
[63] publichealthontario.ca
[61] recombinomics.co

Top Domains in Tweet in G1:
[133] twitter.com
[14] youtube.com
[8] nih.gov
[7] cdc.gov
[3] pgibertie.com
[3] odysee.com
[3] lepoint.fr
[3] t.me
[2] elsevierhealth.com
[2] siecledigital.fr

Top Domains in Tweet in G2:
[67] cdc.gov
[2] twitter.com
[2] fda.gov
[1] elsevierhealth.com
[1] science.org
[1] vaccines.gov
[1] covidtests.gov
[1] facebook.com

Top Domains in Tweet in G3:
[132] twitter.com
[4] youtube.com
[4] cdc.gov
[4] nih.gov
[3] crashdebug.fr
[1] capital.fr
[1] nexus.fr
[1] francesoir.fr
[1] wordpress.com
[1] odysee.com

Top Domains in Tweet in G4:
[63] nih.gov
[62] cdc.gov
[14] twitter.com
[3] nytimes.com
[2] odysee.com
[1] crowdbunker.com
[1] lecourrier-du-soir.com
[1] conspiracywatch.info
[1] la-verite-vous-rendra-libres.org
[1] theatlantic.com

Top Domains in Tweet in G5:
[220] zoeharcombe.com
[2] who.int
[2] cdc.gov
[1] mayoclinic.org

Top Domains in Tweet in G6:
[39] cdc.gov
[1] nih.gov
[1] nextstrain.org
[1] who.int
[1] muhealth.org
[1] nature.com

Top Domains in Tweet in G7:
[377] ibaraki.jp
[146] lg.jp
[17] go.jp
[6] catapoke.com
[1] twitter.com

Top Domains in Tweet in G8:
[138] cdc.gov
[61] recombinomics.co
[23] go.jp
[16] ibaraki.jp
[14] go.kr
[13] lg.jp
[7] twitter.com
[6] c11.kr
[6] co.jp
[5] nih.gov

Top Domains in Tweet in G9:
[9] cdc.gov

Top Domains in Tweet in G10:
[126] lg.jp
[18] go.jp
[9] twitcasting.tv
[9] go.kr
[6] twitter.com
[4] ibaraki.jp
[1] who.int

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[367] 新型コロナウイルス感染症情報
[291] covid19
[170] covid_19
[30] covid
[28] 新型コロナ
[21] 広島県
[17] 코로나19
[17] 예방접종
[17] 기초접종
[17] 동절기추가접종



Top Hashtags in Tweet in G1:
[11] covid_19
[10] justicepourlessuspendus
[6] macron
[6] mckinsey
[6] zelensky
[6] mbappe
[6] lilian
[6] ecstasy
[5] kalergiplan
[3] fmi

Top Hashtags in Tweet in G2:
[241] covid19
[22] covid
[9] longcovid
[4] flu
[4] newportcounty
[4] rhodeisland
[2] niam
[2] vaccine
[2] booster
[1] vaccination

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

Top Hashtags in Tweet in G4:
[1] effetssecondairesvaccins19
[1] mbappe
[1] léasalamé
[1] bardella
[1] zelensky
[1] odysee
[1] effetssecondaires
[1] mauricette
[1] maximebeltra

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

Top Hashtags in Tweet in G8:
[12] covid19
[6] 의정부시청
[6] 안전안내문자
[6] 재난문자
[5] sarscov2
[5] covid
[4] cdc
[3] covid_19
[3] youthmobilize
[3] unstoppabletogether

Top Hashtags in Tweet in G10:
[15] 千葉県

Top Words
Top Words in Tweet in Entire Graph:
[2777] _2019_ncov
[936] covid
[579] 19
[556] co
[456] sitting_bull_d
[407] crashdebug_fr
[382] 12
[371] c'est
[371] 本日の新規陽性者数
[371] 現在の入院者数

Top Words in Tweet in G1:
[1924] _2019_ncov
[305] c'est
[277] ce
[199] ils
[194] mais
[180] ça
[179] ah
[171] plus
[155] sont
[149] tout

Top Words in Tweet in G2:
[353] cdcgov
[241] #covid19
[183] covid
[159] 19
[114] spread
[108] vaccines
[105] protect
[102] others
[102] yourself
[101] stay

Top Words in Tweet in G3:
[438] sitting_bull_d
[408] _2019_ncov
[402] crashdebug_fr
[360] merkaba72
[342] bourgeoiseliane
[339] georgette1918
[336] alainsebil
[326] mazagan_ft
[304] fredchr86587240
[292] bugaultv

Top Words in Tweet in G4:
[156] _2019_ncov
[133] julienm__
[116] ils
[106] j'utilise
[106] voulaient
[67] annelisebocquet
[65] tatiann69922625
[61] bibliographie
[61] infections
[61] transmission

Top Words in Tweet in G5:
[235] zoeharcombe
[224] covid
[219] knew
[218] ago
[218] transmission
[218] years
[218] wrote
[218] jabs
[218] two
[217] bee

Top Words in Tweet in G6:
[123] _2019_ncov
[67] elonmusk
[25] twitter
[17] rolandlescure
[16] c'est
[16] bfmtv
[15] ce
[14] raphaellebacque
[13] hodgetwins
[13] ils

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

Top Words in Tweet in G8:
[208] covid
[121] 19
[104] ncov
[82] 2019
[76] 12
[71] cases
[66] deaths
[62] increase
[61] inc
[61] recombinomics

Top Words in Tweet in G9:
[4] angryfleas
[3] vincegottalotta
[3] caperloo5
[3] sasquatch4eva
[3] irontribenation
[3] itzthanoxz
[3] againmothra
[3] kevinoler
[3] huytonfreeman
[3] 417craig

Top Words in Tweet in G10:
[122] dondeli
[66] 予想通り
[66] 優先順位をつけた入院になってしまいました
[66] フェーズ3に引き上げることとなり
[66] 今日から県内全圏域について
[58] もう来週にはフェーズ3になって
[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] 県内でもダントツですね
[58] 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

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[464] covid,19
[368] 詳細,co
[359] ibaraki_kouhou,#新型コロナウイルス感染症情報
[312] two,years
[285] fredchr86587240,alainsebil
[264] alainsebil,mazagan_ft
[246] covid,jabs
[243] co,qnzux8t4b3
[243] qnzux8t4b3,検査前で症状がある方
[243] 検査前で症状がある方,検査

Top Word Pairs in Tweet in G1:
[111] nad_e_85,_2019_ncov
[109] alexterieur77,nad_e_85
[89] ah,ah
[67] ils,ont
[54] supraskurono,_2019_ncov
[51] _2019_ncov,c'est
[38] toutes,ces
[38] vhpreui,_2019_ncov
[37] ont,tellement
[37] faites,sciemment

Top Word Pairs in Tweet in G2:
[159] covid,19
[102] yourself,others
[102] protect,yourself
[97] #covid19,spread
[97] spread,easily
[97] inside,protect
[97] easily,indoors
[97] stay,date
[97] indoors,gathering
[97] gathering,inside

Top Word Pairs in Tweet in G3:
[283] fredchr86587240,alainsebil
[262] alainsebil,mazagan_ft
[216] georgette1918,fredchr86587240
[209] sitting_bull_d,bourgeoiseliane
[204] didiermaisto,zemmoureric
[204] bourgeoiseliane,georgette1918
[203] zemmoureric,j_bardella
[202] jlmelenchon,didiermaisto
[188] crashdebug_fr,sitting_bull_d
[187] royalsegolene,idrissaberkane

Top Word Pairs in Tweet in G4:
[106] voulaient,j'utilise
[106] ils,voulaient
[61] breakthrough,infections
[61] bibliographie,transmission
[61] transmission,breakthrough
[61] infections,ade
[60] annelisebocquet,bibliographie
[53] marik,mon
[53] dr,paul
[53] vitamine,ils

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

Top Word Pairs in Tweet in G6:
[18] elonmusk,twitter
[12] _2019_ncov,raphaellebacque
[12] _2019_ncov,elonmusk
[12] arleparmentier,elonmusk
[12] raphaellebacque,arleparmentier
[11] rolandlescure,elonmusk
[10] _2019_ncov,bfmtv
[9] _2019_ncov,tcabarrus
[9] _2019_ncov,rolandlescure
[7] ausoleil14,_2019_ncov

Top Word Pairs in Tweet in G7:
[367] 詳細,co
[359] ibaraki_kouhou,#新型コロナウイルス感染症情報
[243] co,qnzux8t4b3
[243] 検査前で症状がある方,検査
[243] qnzux8t4b3,検査前で症状がある方
[184] うち重症者,13名
[184] 13名,本日の死亡者
[124] co,qnzux8c1z3
[112] 本日の感染者はコチラ,co
[112] 本日,12

Top Word Pairs in Tweet in G8:
[101] covid,19
[76] 2019,ncov
[61] recombinomics,inc
[61] cases,increase
[61] covid,cases
[61] ncov,recombinomics
[25] website,updated
[25] updated,visit
[23] english,website
[21] sars,cov

Top Word Pairs in Tweet in G9:
[3] itzthanoxz,rchitwood
[3] huytonfreeman,itzthanoxz
[2] sasquatch4eva,rickeyh64219156
[2] blueresin1,kimmsue70
[2] rjocore1,synyster63
[2] barryjohnreid21,shocktraumarn
[2] againmothra,__teekeemon
[2] antwindmill,trumpcrazytrain
[2] rickeyh64219156,ianb_67
[2] synyster63,nolablue79

Top Word Pairs in Tweet in G10:
[66] 予想通り,今日から県内全圏域について
[66] 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
[66] 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
[65] dondeli,予想通り
[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] 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] 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] 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 Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@merkaba72
@partageinfos
@julienm__
@francoisboulo
@sitting_bull_d
@takeheight
@clauderuscica
@immortellexiii
@ink_caro

Top Replied-To in G1:
@_2019_ncov
@takeheight
@clauderuscica
@vikgaule
@immortellexiii
@supraskurono
@nik0mi
@cit_dechue
@alexterieur77
@ruru63344838

Top Replied-To in G2:
@picphysicians
@scottbl82374097
@lizszabo
@cdcgov
@ashishkjha
@potus
@_johnny1911
@lionadvocacy
@hughthunkit
@rudden_terry

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

Top Replied-To in G4:
@_2019_ncov
@julienm__
@anonyme__777
@tenezduchocolat
@hugo_apolline
@louan07
@roya_r0
@marc_doyer
@calamyjane
@franceinfo

Top Replied-To in G5:
@ckellyuap
@drmeenalviz
@benreynen
@charmicarmicat5
@mynameismud09
@longcovidnews

Top Replied-To in G6:
@_2019_ncov
@hodgetwins
@lastmilestrong
@ausoleil14
@elonmusk
@bfmtv
@epcocorico
@drsimonegold
@jellyhits
@nova45197318

Top Replied-To in G9:
@irontribenation
@huytonfreeman
@zeetubesii
@jimeeliberty
@nobusinessyours
@375norselegend
@aggressivedem
@8brianvogel4

Top Replied-To in G10:
@lovetaiwansan
@c45425

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@sitting_bull_d
@crashdebug_fr
@cdcgov
@ibaraki_kouhou
@bourgeoiseliane
@alainsebil
@elonmusk
@georgette1918
@mazagan_ft

Top Mentioned in G1:
@_2019_ncov
@nad_e_85
@alexterieur77
@elonmusk
@takeheight
@supraskurono
@emmanuelmacron
@vhpreui
@vikgaule
@brunolemaire

Top Mentioned in G2:
@cdcgov
@laurie_garrett
@myrabatchelder
@cdcespanol
@cdcflu
@cdcdirector
@mattbc
@ebonyjhilton_md
@rihealth
@usagovespanol

Top Mentioned in G3:
@sitting_bull_d
@crashdebug_fr
@bourgeoiseliane
@alainsebil
@georgette1918
@mazagan_ft
@_2019_ncov
@fredchr86587240
@merkaba72
@bugaultv

Top Mentioned in G4:
@julienm__
@_2019_ncov
@annelisebocquet
@tatiann69922625
@nova153
@planetes360
@pierrejovanovic
@poulin2012
@planetes3
@lapinkres

Top Mentioned in G5:
@zoeharcombe
@drkerrynphelps
@dr_musgrave
@mathevorowan
@oma_darlin
@yesallcrops
@kitaustralia
@tranquilhrdcore
@shirazshaz13
@martymakary

Top Mentioned in G6:
@elonmusk
@_2019_ncov
@twitter
@rolandlescure
@bfmtv
@raphaellebacque
@arleparmentier
@tcabarrus
@hodgetwins
@foxnews

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

Top Mentioned in G8:
@benasnow
@drml350phd
@voczj
@rosaalberola70
@dr_sdrk
@bosanskakaf
@mrspitbull

Top Mentioned in G9:
@angryfleas
@itzthanoxz
@rchitwood
@kevinoler
@sasquatch4eva
@againmothra
@vincegottalotta
@417craig
@caperloo5
@huytonfreeman

Top Mentioned in G10:
@dondeli
@c45425
@aoihana1213
@ramos262740691
@koheikana
@planetrock2014
@hiroshima_pref
@weselymd
@chibaken_kouhou
@noel_hasui

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

Top Tweeters in G1:
@danielpilotte1
@sonialavera
@inachiveg
@thalassa2008
@le_figaro
@ladevita12
@nypost
@sarah41659531
@le_parisien
@unrollhelper

Top Tweeters in G2:
@lizditz
@lechatnoire4
@katcapps
@b1e56df9ce6549f
@cnbsnana
@adekleine
@eilonwy24
@tyberzannxxxx
@njdoc
@redboybroken

Top Tweeters in G3:
@m2bliquis
@altai_armande
@loudl
@costeslioneler
@bo_chart
@talullabellefle
@jchernandezjazz
@gerardfiloche
@lepoint
@daniesteimer

Top Tweeters in G4:
@mariabadin18
@yvespdb
@domjdom
@alek_aloha
@franceinfo
@maryspes
@tuferasface
@48rieck
@dopaminergic13
@nova153

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

Top Tweeters in G6:
@bfmtv
@mazenod10
@foxnews
@saveflix
@france24
@clomimine
@comfortablysmug
@lilicarmen78163
@cnews
@anabellatibo

Top Tweeters in G7:
@shintochigi1
@takuya_0929001
@otakutokkai
@zimei_no_ri
@moriai8
@mutoh_z
@_7479989014082
@tsuka_kazunee
@crossline_jp
@turututukotokot

Top Tweeters in G8:
@matiere
@personalfitnes3
@didaclopez
@zap2
@sonnykim83
@timmins316
@kooka2525
@gate_15_analyst
@fujikurok
@pegscooley

Top Tweeters in G9:
@marvinrjeffcoat
@doritmi
@vincegottalotta
@kleeontheright
@monstercoyliar
@paulconfer
@mcfunny
@sumatrasue
@angryfleas
@nockit1

Top Tweeters in G10:
@ecodaren
@macha_oji
@sippomagari
@sosorasora3
@citrus_kyoto
@yochan87
@seki_yo
@uchida_kawasaki
@mrtachilles
@fearless_taisho


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