NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

NCoV_2022-01-14_01-58-19.xlsx (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
NodeXLExcelAutomator
Uploaded on:
January 14, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3Gs8PvG
@cdcgov
@_2019_ncov
@adamjkucharski
@cnn
@carpe_diem0820
@m4nrc1pz7iss5vg
@sukunabikona7
@ibaraki_kouhou
@hubbucket
@tsukubais

Top hashtags:
#covid19
#新型コロナウイルス
#parents
#caregivers
#omicron
#vaccinated
#influenza
#더안전한_더나은일상

Description:
Description
The graph represents a network of 7,770 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 Friday, 14 January 2022 at 10:16 UTC.

The requested start date was Friday, 14 January 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 2-day, 4-hour, 50-minute period from Tuesday, 11 January 2022 at 07:36 UTC to Thursday, 13 January 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 : 7770
Unique Edges : 4283
Edges With Duplicates : 14128
Total Edges : 18411
Number of Edge Types : 5
Retweet : 5399
MentionsInRetweet : 7059
Replies to : 1465
Mentions : 3658
Tweet : 830
Self-Loops : 937
Reciprocated Vertex Pair Ratio : 0.0153628241446938
Reciprocated Edge Ratio : 0.0302607575920163
Connected Components : 847
Single-Vertex Connected Components : 267
Maximum Vertices in a Connected Component : 4524
Maximum Edges in a Connected Component : 13858
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 7.798824
Graph Density : 0.000154377204190565
Modularity : 0.481683
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,770 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 Friday, 14 January 2022 at 10:16 UTC.

The requested start date was Friday, 14 January 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 2-day, 4-hour, 50-minute period from Tuesday, 11 January 2022 at 07:36 UTC to Thursday, 13 January 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:
[182] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf
[173] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[160] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[135] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/children-facts.html
[115] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[94] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10880-covid19-66.html
[52] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[48] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[39] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[38] https://www.niid.go.jp/niid/ja/2019-ncov/2488-idsc/iasr-news/10885-504p01.html

Top URLs in Tweet in G1:
[9] https://www.youtube.com/watch?v=l-FUryY-1XU&feature=youtu.be

[5] https://petitions.senat.fr/initiatives/i-917
[5] https://twitter.com/Mockingjay8911/status/1481075457097633792
[5] https://effets-secondaires-vaccins-covid.org/
[3] https://twitter.com/vatixan14/status/1480812650288361472
[3] https://twitter.com/i/status/1469249643888398336
[3] https://twitter.com/1984rebelle/status/1479441786514944002
[2] https://www.notre-planete.info/actualites/4849-vaccins-COVID-19-risques-morts
[2] https://odysee.com/@extraverti:0/france-suede-le-gap:9
[2] https://pgibertie.com/2022/01/11/trois-eminents-scientifiques-francais-omicron-et-la-fin-de-la-pandemie/

Top URLs in Tweet in G2:
[19] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq-children.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[3] https://twitter.com/CDCgov/status/1481349264731258883
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/v-safe-register-dependents.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/keythingstoknow.html

Top URLs in Tweet in G3:
[1] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html

Top URLs in Tweet in G4:
[155] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[114] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.pref.shizuoka.jp/kousei/ko-420a/kansen/ncov-kensamuryou.html
[5] https://www.catapoke.com/viewer/?open=62b3f
[4] https://www.pref.hiroshima.lg.jp/site/2019-ncov/covid19-level.html
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti49.html
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20220113.html
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message

Top URLs in Tweet in G5:
[15] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[14] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[7] https://www.niid.go.jp/niid/ja/2019-ncov/2488-idsc/iasr-news/10885-504p01.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html

Top URLs in Tweet in G6:
[24] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html
[2] https://www.city.yuki.lg.jp/page/page006541.html
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220105_rinjikaiken.html

Top URLs in Tweet in G7:
[176] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[3] https://www.publichealthontario.ca/-/media/documents/ncov/vaccines/2022/01/covid-19-oiac-4th-dose-recommendations-older-adults-ltc.pdf?sc_lang=en
[2] https://cd1.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?la=en
[2] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?la=fr
[2] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-surveillance.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf
[1] http://comorbidity.At
[1] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html

Top URLs in Tweet in G8:
[34] http://ncov.mohw.go.kr/
[4] http://ncov.mohw.go.kr
[1] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=3&brdGubun=31&dataGubun=&ncvContSeq=6284&contSeq=6284&board_id=312&gubun=ALL
[1] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=3&brdGubun=31&dataGubun=&ncvContSeq=6275&contSeq=6275&board_id=312&gubun=ALL
[1] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=3&brdGubun=31&dataGubun=&ncvContSeq=6278&contSeq=6278&board_id=312&gubun=ALL
[1] https://ncvr.kdca.go.kr/cobk/index.html
[1] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=&brdGubun=&dataGubun=&ncvContSeq=369667&contSeq=369667&board_id=&gubun=ALL
[1] http://ncov.mohw.go.kr/shBoardView.do?brdId=6&brdGubun=64&ncvContSeq=5619

Top URLs in Tweet in G9:
[21] https://www.niid.go.jp/niid/ja/2019-ncov/2488-idsc/iasr-news/10885-504p01.html
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10899-covid19-67.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[1] https://twitter.com/carpe_diem0820/status/1478649903987687430
[1] https://www.cdc.gov/media/releases/2022/t0107-covid-update.html
[1] https://twitter.com/carpe_diem0820/status/1479613130204643331
[1] https://twitter.com/carpe_diem0820/status/1433555360514674688
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10873-covid19-65.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html

Top URLs in Tweet in G10:
[3] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[1] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html?tmpl=component&print=1&layout=default
[1] https://twitter.com/Shirleyinaktiv/status/1479518871644168193

Top Domains
Top Domains in Tweet in Entire Graph:
[958] cdc.gov
[345] go.jp
[319] lg.jp
[227] publichealthontario.ca
[163] gob.es
[110] twitter.com
[89] gencat.cat
[71] recombinomics.co
[64] ibaraki.jp
[52] go.kr

Top Domains in Tweet in G1:
[45] twitter.com
[15] youtube.com
[6] odysee.com
[5] senat.fr
[5] effets-secondaires-vaccins-covid.org
[4] wordpress.com
[4] pgibertie.com
[3] imolaoggi.it
[3] elsevierhealth.com
[2] notre-planete.info

Top Domains in Tweet in G2:
[86] cdc.gov
[12] twitter.com
[2] in.gov
[1] fda.gov
[1] com.br

Top Domains in Tweet in G3:
[1] go.jp

Top Domains in Tweet in G4:
[281] lg.jp
[8] ibaraki.jp
[6] shizuoka.jp
[5] catapoke.com
[2] go.jp
[1] nejm.org
[1] cdc.gov

Top Domains in Tweet in G5:
[145] cdc.gov
[37] go.jp
[24] gob.es
[18] twitter.com
[18] ibaraki.jp
[13] lg.jp
[11] gencat.cat
[11] publichealthontario.ca
[10] sandiegocounty.gov
[4] medrxiv.org

Top Domains in Tweet in G6:
[27] ibaraki.jp
[6] lg.jp

Top Domains in Tweet in G7:
[187] publichealthontario.ca
[9] cdc.gov
[2] twitter.com
[1] comorbidity.at
[1] chop.edu

Top Domains in Tweet in G8:
[44] go.kr

Top Domains in Tweet in G9:
[28] go.jp
[8] cdc.gov
[3] twitter.com

Top Domains in Tweet in G10:
[4] go.jp
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1501] covid19
[414] 新型コロナウイルス
[117] parents
[117] caregivers
[104] omicron
[61] vaccinated
[43] influenza
[38] 더안전한_더나은일상
[34] sarscov2
[31] vacunación



Top Hashtags in Tweet in G1:
[13] bernardjomierpourriture
[10] covid_19
[6] moderna
[6] boycott
[5] pfizer
[5] covid
[4] boycottleclerc
[3] astrazeneca
[3] amm
[3] article68

Top Hashtags in Tweet in G2:
[622] covid19
[109] parents
[109] caregivers
[23] hcps
[13] arkansas
[5] sleeveup
[3] omicron
[2] boosted
[2] maskup
[2] cdc

Top Hashtags in Tweet in G4:
[15] 新型コロナウイルス
[11] 新型コロナ
[6] おしえて後藤参事
[6] 静岡県
[6] 無料検査
[5] 広島県
[2] 千葉県庁

Top Hashtags in Tweet in G5:
[26] covid19
[14] coronavirus
[9] 新型コロナウイルス
[8] 茨城県
[7] covid
[7] ncov
[6] sarscov2
[5] yomevacunoseguro
[5] コロナ
[4] japan

Top Hashtags in Tweet in G6:
[390] 新型コロナウイルス
[6] いばらきアマビエちゃん
[3] 結城市

Top Hashtags in Tweet in G7:
[3] oiac

Top Hashtags in Tweet in G8:
[38] 더안전한_더나은일상
[20] 3차접종
[6] 코로나19
[6] 예방접종
[6] 방역패스
[6] 방역
[6] 예방
[6] 백신
[6] 질병관리청
[6] 질병청

Top Hashtags in Tweet in G10:
[27] omicron
[2] omikron
[1] covid19at

Top Words
Top Words in Tweet in Entire Graph:
[1501] #covid19
[1258] vaccine
[1206] _2019_ncov
[1115] covid
[932] 19
[848] shot
[804] omicron
[761] cdcgov
[755] free
[696] booster

Top Words in Tweet in G1:
[1175] _2019_ncov
[228] doses
[220] été
[210] quisuisje13
[198] ans
[190] magnac3
[183] dose
[182] mon
[171] aux
[169] oups

Top Words in Tweet in G2:
[622] #covid19
[586] cdcgov
[459] booster
[411] years
[402] vaccine
[400] free
[384] updated
[373] ages
[293] everyone
[286] eligible

Top Words in Tweet in G3:
[315] นท
[314] การต
[314] ดตามปร
[314] มาณไวร
[314] สรายว
[314] นของผ
[314] ต
[314] ดเช
[314] อ
[314] omicron

Top Words in Tweet in G4:
[240] hiroshima_pref
[137] 新型コロナウイルス感染症の情報
[137] 新規感染者数
[137] 詳細データについてはこちらからご覧ください
[137] 県ホームページの更新は翌日
[137] 土日祝日を除く
[137] になります
[133] chibaken_kouhou
[130] htt
[112] 本日

Top Words in Tweet in G5:
[93] covid
[90] 19
[56] cdc
[35] ncov
[27] booster
[26] #covid19
[25] vaccine
[21] 2019
[19] more
[19] mask

Top Words in Tweet in G6:
[390] #新型コロナウイルス
[390] 感染症情報
[387] 本日の新規陽性者数
[387] 本日の退院等回復者数
[387] 現在の入院者数
[387] うち重症者数
[384] ibaraki_kouhou
[270] 詳しくはこちらをご覧ください
[261] 1名
[171] 1月12日

Top Words in Tweet in G7:
[240] 19
[210] covid
[205] golden_pup
[182] publichealthon
[179] vaccination
[178] report
[178] deaths
[178] status
[177] co
[177] used

Top Words in Tweet in G8:
[246] hellopolicy
[219] 수
[218] 사회적
[196] 1월
[157] 3차
[156] 코로나19
[142] 오미크론
[142] 위해
[110] 먹는
[110] 꼭

Top Words in Tweet in G9:
[461] 5人
[172] 11歳0
[172] 12
[172] 17歳1
[117] アメリカでは小児covid
[117] 19患者の入院率は10万人あたりで4歳以下2
[117] これまでの波とは異なり
[117] ワクチン接種対象外の4歳以下で明らかに入院率が高い状況
[116] sukunabikona7
[61] carpe_diem0820

Top Words in Tweet in G10:
[179] infectious
[178] japan
[175] days
[174] peak
[173] important
[148] study
[147] longdeserttrain
[147] finds
[147] omicron
[147] viral

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[968] #covid19,vaccine
[815] covid,19
[539] vaccine,shot
[405] #新型コロナウイルス,感染症情報
[396] ibaraki_kouhou,#新型コロナウイルス
[316] การต,ดตามปร
[316] ดตามปร,มาณไวร
[316] มาณไวร,สรายว
[316] สรายว,นของผ
[316] นของผ,ต

Top Word Pairs in Tweet in G1:
[202] quisuisje13,_2019_ncov
[176] magnac3,_2019_ncov
[169] _2019_ncov,oups
[160] _2019_ncov,mon
[156] mon,père
[156] 83,ans
[156] ans,retrouve
[153] père,83
[153] retrouve,aux
[153] aux,urgences

Top Word Pairs in Tweet in G2:
[384] #covid19,vaccine
[284] years,eligible
[284] eligible,free
[252] 12,years
[251] free,#covid19
[203] covid,19
[194] primary,series
[192] people,received
[192] mrna,#covid19
[192] vaccine,primary

Top Word Pairs in Tweet in G3:
[314] การต,ดตามปร
[314] ดตามปร,มาณไวร
[314] มาณไวร,สรายว
[314] สรายว,นของผ
[314] นของผ,ต
[314] ต,ดเช
[314] ดเช,อ
[314] อ,omicron
[314] omicron,พบว
[314] พบว,าปร

Top Word Pairs in Tweet in G4:
[137] 新型コロナウイルス感染症の情報,新規感染者数
[137] 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
[137] 県ホームページの更新は翌日,土日祝日を除く
[137] 土日祝日を除く,になります
[130] になります,htt
[112] の広島県内の感染状況,本日の感染者はコチラ
[112] information,multiple
[112] multiple,languages
[112] languages,covid
[112] covid,19

Top Word Pairs in Tweet in G5:
[80] covid,19
[18] 2019,ncov
[12] sars,cov
[11] 19,vaccine
[9] 529系統,オミクロン株
[8] 19,booster
[8] cov,2の変異株b
[8] 2の変異株b,529系統
[6] booster,shots
[6] learn,more

Top Word Pairs in Tweet in G6:
[390] #新型コロナウイルス,感染症情報
[381] ibaraki_kouhou,#新型コロナウイルス
[261] うち重症者数,1名
[261] 1名,詳しくはこちらをご覧ください
[144] 感染症情報,1月12日
[144] 1月12日,本日の新規陽性者数
[144] 本日の新規陽性者数,127名
[144] 127名,本日の退院等回復者数
[144] 本日の退院等回復者数,11名
[144] 11名,現在の入院者数

Top Word Pairs in Tweet in G7:
[209] covid,19
[178] 19,deaths
[178] deaths,vaccination
[178] vaccination,status
[177] report,co
[177] publichealthon,used
[177] used,include
[177] include,covid
[176] co,q2h015cwre
[176] q2h015cwre,publichealthon

Top Word Pairs in Tweet in G8:
[109] 방역패스는,사회적
[109] 사회적,거리두기를
[109] 거리두기를,대신하여
[109] 대신하여,유행을
[109] 유행을,통제할
[109] 통제할,수
[109] 수,있는
[109] 있는,중요한
[109] 중요한,방역
[109] 방역,수단입니다

Top Word Pairs in Tweet in G9:
[172] 11歳0,5人
[172] 5人,12
[172] 12,17歳1
[117] アメリカでは小児covid,19患者の入院率は10万人あたりで4歳以下2
[117] 19患者の入院率は10万人あたりで4歳以下2,5人
[117] 5人,11歳0
[117] 17歳1,5人
[117] 5人,これまでの波とは異なり
[117] これまでの波とは異なり,ワクチン接種対象外の4歳以下で明らかに入院率が高い状況
[116] sukunabikona7,アメリカでは小児covid

Top Word Pairs in Tweet in G10:
[173] peak,days
[147] important,study
[147] study,japan
[147] japan,finds
[147] finds,omicron
[147] omicron,infectious
[147] infectious,viral
[147] viral,loads
[147] loads,peak
[147] days,symptom

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@quisuisje13
@magnac3
@pandantag
@blaw
@wsj
@lillycachou
@quicktake
@giberpa
@blaisegrenier

Top Replied-To in G1:
@_2019_ncov
@quisuisje13
@magnac3
@pandantag
@lillycachou
@blaisegrenier
@giberpa
@louan07
@medic4allhuman
@crepin_sylvain

Top Replied-To in G2:
@marcusblimi
@mssarahmssarah
@bergerbell
@disturbed_cs
@wingland
@cdcgov
@mooshakins
@krymes2112

Top Replied-To in G4:
@shinji_ishimaru
@chugokushimbun
@home_news5

Top Replied-To in G5:
@botoronga

Top Replied-To in G7:
@pastsellby
@mctaguenicole
@demelzaklass
@downtherabbit1
@dazejohnby
@spasmatron
@covid19crusher
@snowbird1942
@madjimbospeaks

Top Replied-To in G9:
@mikito_777
@tam_chyn

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@cdcgov
@ibaraki_kouhou
@manopsi
@hellopolicy
@hiroshima_pref
@golden_pup
@quisuisje13
@publichealthon
@magnac3

Top Mentioned in G1:
@_2019_ncov
@quisuisje13
@magnac3
@pandantag
@crepin_sylvain
@louan07
@saikonobiwa
@nicovasco
@rebeccakhananie
@gregoire_ht

Top Mentioned in G2:
@cdcgov
@nihb1
@cdchealthequity
@usedgov
@rajlabn
@kelliaford
@azdhs
@drml350phd
@hhs_ash
@emirates

Top Mentioned in G3:
@manopsi

Top Mentioned in G4:
@hiroshima_pref
@chibaken_kouhou
@ibaraki_kouhou
@chiba_bousai
@hichachu
@wakamono_gakari
@yuzakihide
@x2nkzleituafpe4
@kharaguchi

Top Mentioned in G5:
@vcstx
@yamanobe0829
@drf5n
@t_wakawi
@jeanmichelfleur

Top Mentioned in G6:
@ibaraki_kouhou
@tsukubais
@ibk44
@kitaibarakicity
@chibaken_kouhou
@hiroshima_pref
@yuki_city

Top Mentioned in G7:
@golden_pup
@publichealthon
@twpiggott
@gem_liz31
@lensiseethrough
@allisonpearson
@dazejohnby
@downtherabbit1
@paulsmi50197747
@marquisd_anon

Top Mentioned in G8:
@hellopolicy
@koreadca

Top Mentioned in G9:
@sukunabikona7
@carpe_diem0820
@motoisuzuki
@goo3_tm
@ugougoy
@tsukubais

Top Mentioned in G10:
@longdeserttrain
@drsimonashworth
@cdcgov
@gianlucac1
@shirleyinaktiv
@bob_wachter

Top Tweeters
Top Tweeters in Entire Graph:
@jornalistavitor
@danielpilotte1
@hjlv2378
@macha_oji
@tradermarcocost
@rk70534
@s9tmt
@nitroboran
@matiere
@littlebytesnews

Top Tweeters in G1:
@danielpilotte1
@mariabadin18
@thalassa2008
@madrynha2012
@le_figaro
@bfmtv
@le_parisien
@lopezdominique2
@yvespdb
@ouestfrance

Top Tweeters in G2:
@jornalistavitor
@rk70534
@rjber15
@john1966olsen
@wadakashiho
@justiceoutcry
@rebellegrrl
@tyberzannxxxx
@njdoc
@bad_woof

Top Tweeters in G3:
@twrose_947
@amuraovonn
@mailovez
@flukefluq2
@hellomymellody
@_brightl
@chdsa_
@pui_faifai
@nattsu_jr
@saiiiexo

Top Tweeters in G4:
@sosorasora3
@shunsuke_k_d
@kyuukoumiyosi
@4823_tanaka
@onpunokizahashi
@sirokumah
@cfihr22
@akki_hana
@atsushi48shm410
@tanenori

Top Tweeters in G5:
@matiere
@nozakitakehide
@gadflyquebec
@haolethai
@rpstranslations
@jp_kenchan_dayo
@aureliobelandom
@za_yi
@kag_tsuki
@kabukabubaby

Top Tweeters in G6:
@shintochigi1
@noel_hasui
@tsuka_kazunee
@tiiduka
@shirayukihime_p
@yoko1_8_1
@sgr_kn
@over56_34
@kurox_0
@m9harrier

Top Tweeters in G7:
@lyndae222
@sophieblack2016
@scooterissima
@loovee3333
@jhlrsn
@tracybaxter11
@rupasubramanya
@for2000years
@jrtg13
@mandystake

Top Tweeters in G8:
@hjlv2378
@suan55
@relaxoowang
@turkeyfiend
@pigmodo
@jisumom7472
@wnckdnlqks
@blessedmary52
@bliss9980
@numee0809

Top Tweeters in G9:
@ishida5235
@mizuki_tbss
@otakutokkai
@kasshini_gnade
@eimc3z
@alsnova
@kingkankou0120
@avalon1982
@y_fujisaki
@mintgreennaneko

Top Tweeters in G10:
@s9tmt
@bootleggirl
@n7irl
@barbiewithatude
@fiona_fionnagal
@arthur_affect
@forumeditor
@seusssl
@systonhouse
@jaszabella