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NCoV_2022-01-13_03-42-45.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
January 13, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3qmSYbW
@cdcgov
@adamjkucharski
@_2019_ncov
@cnn
@longdeserttrain
@bob_wachter
@carpe_diem0820
@m4nrc1pz7iss5vg
@hubbucket
@rosenchild

Top hashtags:
#covid19
#新型コロナウイルス
#parents
#caregivers
#vaccinated
#omicron
#sarscov2
#더안전한_더나은일상

Description:
Description
The graph represents a network of 7,854 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, 13 January 2022 at 12:00 UTC.

The requested start date was Thursday, 13 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, 30-minute period from Monday, 10 January 2022 at 07:56 UTC to Wednesday, 12 January 2022 at 12:27 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 : 7854
Unique Edges : 3423
Edges With Duplicates : 13285
Total Edges : 16708
Number of Edge Types : 5
Retweet : 5801
MentionsInRetweet : 6853
Mentions : 2125
Replies to : 1242
Tweet : 687
Self-Loops : 749
Reciprocated Vertex Pair Ratio : 0.0152254765225477
Reciprocated Edge Ratio : 0.0299942759015455
Connected Components : 698
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 4949
Maximum Edges in a Connected Component : 12467
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.018224
Graph Density : 0.000141623856052961
Modularity : 0.503291
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,854 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, 13 January 2022 at 12:00 UTC.

The requested start date was Thursday, 13 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, 30-minute period from Monday, 10 January 2022 at 07:56 UTC to Wednesday, 12 January 2022 at 12:27 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:
[164] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[137] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[137] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[132] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[87] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10880-covid19-66.html
[70] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/children-facts.html
[59] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html
[52] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[26] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html

Top URLs in Tweet in G1:
[3] https://twitter.com/vatixan14/status/1480812650288361472
[3] https://www.ilgiorno.it/cronaca/morta-dopo-astrazeneca-1.6945243
[3] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Feclinm%2Farticle%2FPIIS2589-5370%2821%2900024-9%2Ffulltext&rc=0
[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/
[2] https://drive.google.com/file/d/1_djThkUC9U9wNVkniY-5CqAdQYYuWmHB/view?usp=sharing
[2] https://www.youtube.com/watch?v=mJC17IYkaQ8&ab_channel=AlexandreLebreton

[2] https://twitter.com/franceinfo/status/1466679843685388289
[2] https://twitter.com/zeekayk08/status/1475974116264054787?t=BKg9BrY3bhOMNxTOC1M9jw&s=19
[2] https://coronavirus.jhu.edu/region/japan

Top URLs in Tweet in G2:
[4] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[2] https://pubmed.ncbi.nlm.nih.gov/34548920/
[2] https://pubmed.ncbi.nlm.nih.gov/34174723/
[2] https://pubmed.ncbi.nlm.nih.gov/34462013/
[2] https://pubmed.ncbi.nlm.nih.gov/34324214/
[2] https://pubmed.ncbi.nlm.nih.gov/34463066/
[1] https://nextstrain.org/ncov/gisaid/global
[1] https://www.sciencedirect.com/science/article/pii/S0953620521002363
[1] https://www.sciencedirect.com/science/article/pii/S0006497121013963
[1] https://www.sciencedirect.com/science/article/pii/S0165572821001569

Top URLs in Tweet in G3:
[1] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/forecasts-cases.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/hospitalizations-forecasts.html

Top URLs in Tweet in G4:
[11] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/v-safe-register-dependents.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/health-equity/he-in-action.html?Sort=Title%3A%3Aasc
[2] https://coronavirus.in.gov/vaccine
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html

Top URLs in Tweet in G5:
[1] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html

Top URLs in Tweet in G6:
[8] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[2] https://www.tn.gov/health/cedep/ncov.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/ppe-strategy/decontamination-reuse-respirators.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myo-outcomes.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/faq.html#Testing,-Isolation,-and-Quarantine-for-Persons-Who-Have-Recovered-from-Previous-SARS-CoV-2-Infection
[1] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/quarantine-isolation-background.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/transmission_k_12_schools.html#sars-cov-2
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10880-covid19-66.html

Top URLs in Tweet in G7:
[1] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html

Top URLs in Tweet in G8:
[132] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[132] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.pref.shizuoka.jp/kousei/ko-420a/kansen/ncov-kensamuryou.html
[5] https://www.catapoke.com/viewer/?open=62b3f
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20220107.html
[1] https://pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[1] https://pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti49.html
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message

Top URLs in Tweet in G9:
[26] http://ncov.mohw.go.kr/
[2] https://korean.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[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/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] http://ncov.mohw.go.kr/shBoardView.do?brdId=6&brdGubun=64&ncvContSeq=5619

Top URLs in Tweet in G10:
[16] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[12] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[6] https://www.pref.hiroshima.lg.jp/site/2019-ncov/
[5] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/prevencio/aillament-domiciliari/
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2488-idsc/iasr-news/10885-504p01.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[4] https://systems.jhu.edu/research/public-health/ncov/

Top Domains
Top Domains in Tweet in Entire Graph:
[759] cdc.gov
[313] go.jp
[304] lg.jp
[154] ibaraki.jp
[134] gob.es
[104] gencat.cat
[94] twitter.com
[38] go.kr
[34] recombinomics.co
[31] publichealthontario.ca

Top Domains in Tweet in G1:
[39] twitter.com
[7] odysee.com
[4] wordpress.com
[4] pgibertie.com
[4] youtube.com
[4] elsevierhealth.com
[3] google.com
[3] imolaoggi.it
[3] ilgiorno.it
[3] francetvinfo.fr

Top Domains in Tweet in G2:
[14] nih.gov
[4] go.jp
[4] sciencedirect.com
[3] cdc.gov
[1] nextstrain.org
[1] researchsquare.com
[1] twitter.com
[1] ontario.ca

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

Top Domains in Tweet in G4:
[55] cdc.gov
[6] twitter.com
[2] bit.ly
[2] in.gov
[2] vaccinatecnmi.com
[1] go.jp

Top Domains in Tweet in G5:
[1] go.jp

Top Domains in Tweet in G6:
[10] go.jp
[8] cdc.gov
[2] tn.gov
[1] twitter.com

Top Domains in Tweet in G7:
[1] go.jp

Top Domains in Tweet in G8:
[272] lg.jp
[8] ibaraki.jp
[5] shizuoka.jp
[5] catapoke.com
[2] go.jp
[1] cdc.gov

Top Domains in Tweet in G9:
[31] go.kr
[2] cdc.gov

Top Domains in Tweet in G10:
[94] cdc.gov
[34] recombinomics.co
[32] go.jp
[20] gencat.cat
[19] ibaraki.jp
[17] twitter.com
[16] lg.jp
[15] gob.es
[5] sandiegocounty.gov
[4] nextstrain.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[859] covid19
[374] 新型コロナウイルス
[142] parents
[142] caregivers
[61] vaccinated
[53] omicron
[40] sarscov2
[26] 더안전한_더나은일상
[26] 3차접종
[20] coronavirus



Top Hashtags in Tweet in G1:
[6] covid_19
[6] boycott
[3] ivermectine
[3] astrazeneca
[3] moderna
[3] maroc
[3] draghi
[3] veran
[3] draghivattene
[2] cdc

Top Hashtags in Tweet in G2:
[2] omikron
[1] covid19at

Top Hashtags in Tweet in G3:
[2] parents
[2] caregivers
[2] covid19

Top Hashtags in Tweet in G4:
[377] covid19
[136] parents
[136] caregivers
[18] hcps
[4] vaxfact
[4] omicron
[3] healthequity
[3] publichealth
[2] cdc
[2] disa

Top Hashtags in Tweet in G6:
[1] omicronvariant

Top Hashtags in Tweet in G8:
[13] 新型コロナウイルス
[10] 新型コロナ
[5] おしえて後藤参事
[5] 静岡県
[5] 無料検査
[5] 広島県
[2] 千葉県庁

Top Hashtags in Tweet in G9:
[26] 더안전한_더나은일상
[26] 3차접종
[3] 코로나19
[3] 예방접종
[3] 방역패스
[3] 방역
[3] 예방
[3] 백신
[3] 질병관리청
[3] 질병청

Top Hashtags in Tweet in G10:
[23] covid19
[14] coronavirus
[11] sarscov2
[9] 茨城県
[9] 新型コロナウイルス
[8] covid
[8] コロナ
[8] 2019ncov
[8] ncov
[8] sars

Top Words
Top Words in Tweet in Entire Graph:
[1521] omicron
[1110] days
[1054] study
[999] _2019_ncov
[989] infectious
[859] #covid19
[761] viral
[719] onset
[715] symptom
[669] japan

Top Words in Tweet in G1:
[991] _2019_ncov
[179] quisuisje13
[149] oups
[141] ce
[128] c'est
[104] doses
[103] plus
[94] ils
[93] été
[90] ça

Top Words in Tweet in G2:
[571] omicron
[571] peak
[570] important
[570] study
[570] japan
[570] finds
[570] infectious
[570] viral
[570] loads
[570] days

Top Words in Tweet in G3:
[405] bob_wachter
[372] study
[366] below
[364] son's
[364] 5d
[364] symptoms
[364] better
[364] mild
[364] sore
[364] throat

Top Words in Tweet in G4:
[377] #covid19
[349] cdcgov
[282] ages
[245] booster
[194] updated
[165] vaccine
[156] years
[150] children
[147] 12
[145] shot

Top Words in Tweet in G5:
[340] นท
[339] การต
[339] ดตามปร
[339] มาณไวร
[339] สรายว
[339] นของผ
[339] ต
[339] ดเช
[339] อ
[339] omicron

Top Words in Tweet in G6:
[271] days
[268] infectious
[254] michaelmina_lab
[253] neg
[252] isolation
[252] test
[250] research
[250] stop
[250] rapid
[250] many

Top Words in Tweet in G7:
[531] dias
[266] estudo
[266] em
[265] quem
[265] libertando
[265] isolamento
[265] pare
[265] já
[265] primeiro
[265] ômicron

Top Words in Tweet in G8:
[198] hiroshima_pref
[138] co
[130] 本日
[130] の広島県内の感染状況
[130] 本日の感染者はコチラ
[130] information
[130] multiple
[130] languages
[130] covid
[130] 19

Top Words in Tweet in G9:
[313] 코로나19
[269] hellopolicy
[226] 3차
[214] 사회적
[214] 수
[208] 감염은
[208] 낮게
[165] 1월
[165] 예방접종
[122] 오미크론

Top Words in Tweet in G10:
[101] covid
[72] 19
[60] ncov
[50] 2019
[41] cases
[38] cdc
[37] deaths
[37] increase
[34] recombinomics
[34] inc

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[713] symptom,onset
[695] days,symptom
[633] peak,days
[620] viral,loads
[613] study,japan
[607] important,study
[607] japan,finds
[607] finds,omicron
[607] omicron,infectious
[607] infectious,viral

Top Word Pairs in Tweet in G1:
[171] quisuisje13,_2019_ncov
[149] _2019_ncov,oups
[44] crepin_sylvain,_2019_ncov
[37] pandantag,_2019_ncov
[35] _2019_ncov,saikonobiwa
[31] _2019_ncov,mon
[31] magnac3,_2019_ncov
[29] _2019_ncov,c'est
[29] verocaro18,crepin_sylvain
[29] _2019_ncov,suite

Top Word Pairs in Tweet in G2:
[570] important,study
[570] study,japan
[570] japan,finds
[570] finds,omicron
[570] omicron,infectious
[570] infectious,viral
[570] viral,loads
[570] loads,peak
[570] peak,days
[570] days,symptom

Top Word Pairs in Tweet in G3:
[364] son's,5d
[364] 5d,symptoms
[364] symptoms,better
[364] better,mild
[364] mild,sore
[364] sore,throat
[364] throat,fever
[364] fever,binax
[364] binax,below
[364] below,study

Top Word Pairs in Tweet in G4:
[151] #covid19,vaccine
[143] booster,shot
[138] ages,12
[137] 12,years
[137] #covid19,booster
[136] #parents,#caregivers
[136] #caregivers,kids
[136] kids,teens
[136] teens,ages
[136] years,free

Top Word Pairs in Tweet in G5:
[339] การต,ดตามปร
[339] ดตามปร,มาณไวร
[339] มาณไวร,สรายว
[339] สรายว,นของผ
[339] นของผ,ต
[339] ต,ดเช
[339] ดเช,อ
[339] อ,omicron
[339] omicron,พบว
[339] พบว,าปร

Top Word Pairs in Tweet in G6:
[250] research,isolation
[250] isolation,stop
[250] stop,days
[250] days,neg
[250] neg,rapid
[250] rapid,test
[250] test,many
[250] many,infectious
[250] infectious,small
[249] michaelmina_lab,research

Top Word Pairs in Tweet in G7:
[266] em,dias
[265] quem,libertando
[265] libertando,isolamento
[265] isolamento,dias
[265] dias,pare
[265] pare,já
[265] já,primeiro
[265] primeiro,estudo
[265] estudo,ômicron
[265] ômicron,50

Top Word Pairs in Tweet in G8:
[130] の広島県内の感染状況,本日の感染者はコチラ
[130] information,multiple
[130] multiple,languages
[130] languages,covid
[130] covid,19
[128] 本日の感染者はコチラ,co
[125] hiroshima_pref,本日
[116] 新型コロナウイルス感染症の情報,新規感染者数
[116] 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
[116] 県ホームページの更新は翌日,土日祝日を除く

Top Word Pairs in Tweet in G9:
[107] 방역패스는,사회적
[107] 사회적,거리두기를
[107] 거리두기를,대신하여
[107] 대신하여,유행을
[107] 유행을,통제할
[107] 통제할,수
[107] 수,있는
[107] 있는,중요한
[107] 중요한,방역
[107] 방역,수단입니다

Top Word Pairs in Tweet in G10:
[57] covid,19
[44] 2019,ncov
[35] cases,increase
[34] ncov,recombinomics
[34] recombinomics,inc
[33] covid,cases
[12] sars,cov
[9] chadox1,ncov
[9] ncov,19
[9] farmàcies,adherides

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@quisuisje13
@wsj
@lillycachou
@crepin_sylvain
@blaisegrenier
@louan07
@magnac3
@medic4allhuman
@verocaro18

Top Replied-To in G1:
@_2019_ncov
@quisuisje13
@lillycachou
@blaisegrenier
@crepin_sylvain
@louan07
@medic4allhuman
@magnac3
@verocaro18
@aubincloudless

Top Replied-To in G2:
@matfitz22
@lourob2
@guillaumerozier
@mooncake1986
@livechonews

Top Replied-To in G3:
@bob_wachter
@gab_h_r

Top Replied-To in G4:
@cdcgov
@mooshakins
@conniesuver
@krymes2112
@cdcdirector
@fitterhappieraj

Top Replied-To in G6:
@pipeystallion
@zacktually
@abeesmarks
@whinyunderscore
@ct_bergstrom
@flyoverelitist
@michele_phd_
@j_g_allen
@geererc
@88doubledragon

Top Replied-To in G9:
@kirara20546

Top Replied-To in G10:
@botoronga

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@longdeserttrain
@cdcgov
@bob_wachter
@ibaraki_kouhou
@manopsi
@hellopolicy
@azavascki
@michaelmina_lab
@hiroshima_pref

Top Mentioned in G1:
@_2019_ncov
@quisuisje13
@crepin_sylvain
@louan07
@saikonobiwa
@pandantag
@magnac3
@yanglina6
@aubincloudless
@verocaro18

Top Mentioned in G2:
@longdeserttrain
@frg05815731
@gianlucac1
@emwroe
@eagleguardian2
@cdcgov
@stuperbug
@qofficiel
@nathanpsmad
@jesseventura86

Top Mentioned in G3:
@bob_wachter
@longdeserttrain
@cdcgov
@deathpanel_
@altenberglee
@n_hold

Top Mentioned in G4:
@cdcgov
@cdchealthequity
@nihb1
@cdcdirector
@azdhs
@cdcemergency
@kdurquiza
@usedgov
@emirates
@gallatinhealth

Top Mentioned in G5:
@manopsi

Top Mentioned in G6:
@michaelmina_lab
@longdeserttrain
@bob_wachter
@tndeptofhealth
@j_g_allen
@ct_bergstrom
@azavascki
@dwallacewells
@abbottnews
@midmadeline

Top Mentioned in G7:
@azavascki

Top Mentioned in G8:
@hiroshima_pref
@chibaken_kouhou
@chiba_bousai
@ibaraki_kouhou
@hichachu
@wakamono_gakari
@sosorasora3
@x2nkzleituafpe4
@kharaguchi

Top Mentioned in G9:
@hellopolicy
@koreadca
@___whoami
@kirara20546

Top Mentioned in G10:
@drml350phd
@naa201109
@vcstx
@yamanobe0829

Top Tweeters
Top Tweeters in Entire Graph:
@danielpilotte1
@myfavoritescene
@hjlv2378
@s9tmt
@nitroboran
@matiere
@united
@littlebytesnews
@rjber15
@delta

Top Tweeters in G1:
@danielpilotte1
@thalassa2008
@le_figaro
@bfmtv
@danubaud
@le_parisien
@yvespdb
@ouestfrance
@a_meluzzi
@levyloiseau

Top Tweeters in G2:
@n7irl
@ansisegle
@2amongsfrippies
@barbiewithatude
@arthur_affect
@ochreblue
@golwgymor
@michael_kunz
@eagleguardian2
@livechonews

Top Tweeters in G3:
@lizditz
@katcapps
@tadrow
@elkehollings
@redboybroken
@yayayarndiva
@jentromans
@netbacker
@jadasgotit
@maryannegruen

Top Tweeters in G4:
@rjber15
@john1966olsen
@wadakashiho
@justiceoutcry
@rebellegrrl
@tyberzannxxxx
@bad_woof
@arcticfox_am_i
@cultiv8hope
@sdevincenzo

Top Tweeters in G5:
@twrose_947
@amuraovonn
@mailovez
@flukefluq2
@hellomymellody
@_brightl
@pui_faifai
@nattsu_jr
@saiiiexo
@llooknscn

Top Tweeters in G6:
@cotey_mary
@newsofmideast
@victorb123
@4evrstardancer
@m7m5ea
@yoshiefuruhashi
@smartdissent
@pash22
@donaldverger
@lauowolf

Top Tweeters in G7:
@mulher_noticia
@therezafontoura
@dieviviarruda
@jlfleite
@nildaalcarinque
@jejeduaarte
@souza_maurilio
@br_green_heart
@heliopaz
@xandaodalapa

Top Tweeters in G8:
@sosorasora3
@shunsuke_k_d
@yakohsei
@kyuukoumiyosi
@sirokumah
@atsushi48shm410
@tanenori
@turututukotokot
@hiromidona
@kohnagao

Top Tweeters in G9:
@hjlv2378
@suan55
@relaxoowang
@pigmodo
@jisumom7472
@wnckdnlqks
@bliss9980
@numee0809
@dondaeji
@black00725

Top Tweeters in G10:
@matiere
@personalfitnes3
@gadflyquebec
@rpstranslations
@jp_kenchan_dayo
@aureliobelandom
@za_yi
@larryboorstein
@kag_tsuki
@bellaella7