NCoV, Twitter, 9/12/2021 3:27:31 PM, 261802


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NCoV_2021-09-12_02-12-49.xlsx
NCoV_2021-09-12_02-12-49.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 12, 2021
Short Description:
NCoV via NodeXL https://bit.ly/3C4H61r
@cdcgov
@koichi_kawakami
@hiroshima_pref
@wadakashiho
@turututukotokot
@dockaurg
@who
@viralvideovlogs
@cdcglobal
@akahiguma

Top hashtags:
#covid19
#新型コロペウイルス
#covid_19
#laborday
#新型コロナウイルス
#deltavariant

Description:
Description
The graph represents a network of 8,689 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, 12 September 2021 at 09:32 UTC.

The requested start date was Sunday, 12 September 2021 at 00:01 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, 1-hour, 41-minute period from Friday, 03 September 2021 at 10:43 UTC to Tuesday, 07 September 2021 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 : 8689
Unique Edges : 4027
Edges With Duplicates : 11794
Total Edges : 15821
Number of Edge Types : 5
Retweet : 5305
MentionsInRetweet : 5764
Tweet : 1163
Replies to : 1172
Mentions : 2417
Self-Loops : 1216
Reciprocated Vertex Pair Ratio : 0.0045662100456621
Reciprocated Edge Ratio : 0.00909090909090909
Connected Components : 1289
Single-Vertex Connected Components : 386
Maximum Vertices in a Connected Component : 3918
Maximum Edges in a Connected Component : 9646
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.725604
Graph Density : 0.000107828805795181
Modularity : 0.523832
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 8,689 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, 12 September 2021 at 09:32 UTC.

The requested start date was Sunday, 12 September 2021 at 00:01 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, 1-hour, 41-minute period from Friday, 03 September 2021 at 10:43 UTC to Tuesday, 07 September 2021 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:
[363] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[217] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[125] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[104] https://www.who.int/publications/i/item/WHO-2019-nCoV-Digital_certificates-vaccination-2021.1
[95] https://www.cdc.gov/coronavirus/2019-ncov/variants/delta-variant.html
[85] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[82] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[72] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[55] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html
[50] https://mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm

Top URLs in Tweet in G1:
[18] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/talk-about-vaccines.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/variants/delta-variant.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/pregnant-people.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/parent-faqs.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/community/health-equity/he-in-action.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html

Top URLs in Tweet in G2:
[40] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[12] https://minato.sip21c.org/tiid/epidemiology2021.pdf
[11] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[6] https://www.niid.go.jp/niid/ja/2019-ncov/10626-covid19-20.html
[5] http://minato.sip21c.org/2019-nCoV-im3r.html
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/10434-covid19-43.html
[3] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[3] https://www.pref.hiroshima.lg.jp/site/2019-ncov/pcr-20210311.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html

Top URLs in Tweet in G3:
[21] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html
[15] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-myocarditis-pericarditis-vaccines-epi.pdf?sc_lang=en
[13] http://ncov.mohw.go.kr
[11] https://www.who.int/publications/i/item/WHO-2019-nCoV-Digital_certificates-vaccination-2021.1
[11] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10614-covid19-55.html
[10] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10623-covid19-57.html
[10] https://systems.jhu.edu/research/public-health/ncov/
[8] https://www.niid.go.jp/niid/ja/2019-ncov/10626-covid19-20.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/variants/delta-variant.html
[8] https://eautocheck.de

Top URLs in Tweet in G4:
[332] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/ichiran.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/210827_rinjikaiken.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210906_shiryoteikyo.pdf
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10338-496p03.html

Top URLs in Tweet in G5:
[39] https://bit.ly/3zKug7L
[16] https://bit.ly/3zUoEYE
[12] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/contactecovid-cat/
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_455_COVID-19.pdf
[6] https://bit.ly/3gZnUtZ
[6] https://lamevasalut.gencat.cat/web/cps/welcome
[5] https://www.vacunacovid.gob.es/
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/pbiVacunacion.htm
[4] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/certificat-covid-digital-ue/
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210906.pdf

Top URLs in Tweet in G6:
[5] https://www.who.int/publications/i/item/WHO-2019-nCoV-Digital_certificates-vaccination-2021.1
[4] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Digital_certificates-vaccination-2021.1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/adolescents.html
[1] https://twitter.com/mohebrahim85/status/1434191104874672128
[1] https://torontosun.com/news/provincial/over-100-ontario-youth-have-been-sent-to-hospital-for-vaccine-related-heart-problems
[1] https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.publichealthontario.ca%2F-%2Fmedia%2Fdocuments%2Fncov%2Fepi%2Fcovid-19-myocarditis-pericarditis-vaccines-epi.pdf%3Fsc_lang%3Den&data=04%7C01%7Cbpassifiume%40postmedia.com%7Cbb279e30a3584070712808d96f1bc664%7C26a0106d7d5c4fc5ab9d7ee54dc28bca%7C0%7C0%7C637662987342120801%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=moulsVLkOHMoPRITL33u%2BzwXLi%2Biynn88WZGCoB1CXA%3D&reserved=0

Top URLs in Tweet in G7:
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects.html

Top URLs in Tweet in G8:
[4] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[2] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?la=en
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?la=en
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-myocarditis-pericarditis-vaccines-epi.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html
[1] https://twitter.com/AlanFitzWalter/status/1434147987391909897
[1] https://twitter.com/Mickmac15085908/status/1434214040205774853?s=20

Top URLs in Tweet in G9:
[122] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[5] https://www.catapoke.com/viewer/?open=62b3f
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20210907.html

Top URLs in Tweet in G10:
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/delta-variant.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/multiplex.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/testing.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[2] https://rightsfreedoms.wordpress.com/2021/06/16/researcher-we-made-a-big-mistake-on-covid-19-vaccine/
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/map-and-travel-notices.html#travel-1
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/pdfs/vaccine-safety-monitoring.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/2020/12/covid-19-school-outbreaks-cases-epi-summary.pdf?la=en

Top Domains
Top Domains in Tweet in Entire Graph:
[1534] cdc.gov
[397] lg.jp
[391] ibaraki.jp
[193] who.int
[155] gob.es
[154] go.jp
[109] bit.ly
[105] publichealthontario.ca
[89] twitter.com
[79] imserso.es

Top Domains in Tweet in G1:
[127] cdc.gov
[16] bit.ly
[7] twitter.com
[2] who.int
[2] isrctn.com
[1] texas.gov
[1] nih.gov
[1] elsevierhealth.com
[1] gov.uk
[1] theguardian.com

Top Domains in Tweet in G2:
[49] cdc.gov
[20] lg.jp
[18] sip21c.org
[13] go.jp
[6] twitter.com
[3] ibaraki.jp
[1] nextstrain.org
[1] or.jp

Top Domains in Tweet in G3:
[187] cdc.gov
[54] go.jp
[27] twitter.com
[24] go.kr
[23] who.int
[22] publichealthontario.ca
[16] bit.ly
[16] eautocheck.de
[14] gob.es
[12] ibaraki.jp

Top Domains in Tweet in G4:
[344] ibaraki.jp
[1] go.jp

Top Domains in Tweet in G5:
[63] bit.ly
[39] gob.es
[31] gencat.cat
[4] navarra.es
[2] contactecovid.cat
[1] twitter.com
[1] catsalut.cat

Top Domains in Tweet in G6:
[9] who.int
[2] cdc.gov
[1] twitter.com
[1] torontosun.com
[1] outlook.com

Top Domains in Tweet in G7:
[4] cdc.gov

Top Domains in Tweet in G8:
[8] publichealthontario.ca
[2] twitter.com
[1] cdc.gov

Top Domains in Tweet in G9:
[123] lg.jp
[5] catapoke.com

Top Domains in Tweet in G10:
[22] cdc.gov
[4] publichealthontario.ca
[3] wordpress.com
[1] clinicaltrials.gov
[1] gavi.org
[1] chop.edu
[1] forbes.com
[1] mayoclinic.org
[1] ctvnews.ca
[1] who.int

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1660] covid19
[501] 新型コロペウイルス
[170] covid_19
[154] laborday
[54] 新型コロナウイルス
[52] deltavariant
[50] vacunaciã³n
[39] coronavirus
[38] covid
[34] 코로나19



Top Hashtags in Tweet in G1:
[1062] covid19
[139] laborday
[50] deltavariant
[26] parents
[12] spreadknowledge
[12] savelives
[7] covid
[5] wearamask
[4] vaxfact
[4] covidvaccines

Top Hashtags in Tweet in G3:
[29] covid19
[13] 보건복지부
[13] klab
[13] korea
[13] covid19korea
[13] data
[8] fwn
[8] freeworldnews
[8] today
[7] cdc

Top Hashtags in Tweet in G4:
[486] 新型コロペウイルス
[54] 新型コロナウイルス
[8] 蜨åÿžçœœ
[6] いばらきアマビエちゃん
[1] いばらきアマビエちゃん

Top Hashtags in Tweet in G5:
[151] covid19
[47] vacunaciã³n
[8] yomevacunoseguro
[7] andalucã­a
[3] covid
[3] coronavirusnavarra
[3] koronabirusanafarroa
[3] sabiesque
[2] vacunación
[2] lamevasalut

Top Hashtags in Tweet in G7:
[161] covid19

Top Hashtags in Tweet in G9:
[4] 広島眜
[4] 新型コロペ
[2] covid19
[1] 広島県
[1] 新型コロナ
[1] laborday

Top Hashtags in Tweet in G10:
[2] vaccinated
[2] covid19
[1] getvaccinated

Top Words
Top Words in Tweet in Entire Graph:
[12472] æ
[9129] ãƒ
[7959] ç
[6949] ø
[4473] ù
[2135] ÿæÿ
[1907] æœ
[1659] #covid19
[1577] ϋ
[1520] ªã

Top Words in Tweet in G1:
[1062] #covid19
[1028] cdcgov
[923] vaccinated
[764] against
[661] children
[659] masks
[626] wear
[624] 12
[613] schools
[607] make

Top Words in Tweet in G2:
[2189] ãƒ
[1222] ç
[855] ªã
[836] æ
[735] ϋ
[611] ÿã
[553] œ
[548] mrnaã
[429] ˆã
[328] ċ

Top Words in Tweet in G3:
[463] æ
[447] ç
[410] ãƒ
[403] ì
[221] ë
[144] 19
[135] covid
[135] ê
[90] ø
[86] ÿæÿ

Top Words in Tweet in G4:
[5652] æ
[2290] ç
[1237] æœ
[1109] ãƒ
[645] ÿæÿ
[548] ペã
[543] åž
[529] ˆã
[527] ibaraki_kouhou
[524] æƒ

Top Words in Tweet in G5:
[151] #covid19
[120] saludpublicaes
[80] sanidadgob
[71] informe
[63] espaã
[60] actividad
[60] frente
[54] sã
[49] ntomas
[49] cuadro

Top Words in Tweet in G6:
[6471] ø
[4217] ù
[788] øªø
[311] ùˆù
[261] ùƒù
[233] ùšø
[228] øªù
[227] ùš
[163] øª
[148] ùšù

Top Words in Tweet in G7:
[322] vaccine
[162] vaccines
[161] #covid19
[161] mrna
[161] make
[160] facts
[160] alter
[160] dna
[160] magnetic
[160] evidence

Top Words in Tweet in G8:
[146] ontario
[137] myocarditis
[134] anthonyfurey
[133] public
[133] health
[133] issued
[133] report
[133] day
[133] detailing
[133] 202

Top Words in Tweet in G9:
[1281] æ
[592] ç
[368] ãƒ
[364] æœ
[296] šã
[290] ÿæÿ
[190] hiroshima_pref
[148] ϋ
[148] ÿã
[122] information

Top Words in Tweet in G10:
[18] cdc
[10] risk
[9] high
[8] unvaccinated
[8] very
[8] pcr
[7] vaccinated
[7] recommends
[7] cp24
[6] virus

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[4295] ãƒ,ãƒ
[3144] ø,ø
[3058] æ,æ
[2049] æ,ÿæÿ
[2034] ø,ù
[1701] ù,ø
[1670] ù,ù
[1575] æœ,æ
[1314] ç,æ
[1296] æ,ç

Top Word Pairs in Tweet in G1:
[739] against,#covid19
[724] vaccinated,against
[619] wear,masks
[594] 12,schools
[594] make,sure
[593] mask,fits
[593] fits,snugly
[591] children,vaccinated
[591] #covid19,wear
[591] masks,12

Top Word Pairs in Tweet in G2:
[1345] ãƒ,ãƒ
[398] ç,ç
[322] ªã,ƒã
[322] ƒã,ˆã
[290] ãƒ,ッã
[285] ؋,ϋ
[278] œã,ªã
[277] ˆã,ÿã
[276] ªã,ãƒ
[275] ÿã,ÿã

Top Word Pairs in Tweet in G3:
[174] ãƒ,ãƒ
[104] covid,19
[103] ç,ç
[99] ç,æ
[97] ì,ë
[85] æ,æ
[78] æ,ÿæÿ
[67] ì,ìƒ
[60] ë,ì
[60] ì,ì

Top Word Pairs in Tweet in G4:
[1803] æ,æ
[1237] æœ,æ
[645] æ,ÿæÿ
[579] ÿæÿ,ç
[548] ãƒ,ペã
[543] åž,ãƒ
[543] ペã,ãƒ
[536] ãƒ,æ
[508] æ,ç
[489] ç,æ

Top Word Pairs in Tweet in G5:
[60] informe,actividad
[59] frente,#covid19
[49] sã,ntomas
[49] cuadro,mando
[48] bares,restaurantes
[48] restaurantes,terrazas
[48] terrazas,bajes
[48] bajes,guardia
[48] guardia,frente
[48] #covid19,respeta

Top Word Pairs in Tweet in G6:
[2929] ø,ø
[1904] ø,ù
[1608] ù,ù
[1582] ù,ø
[580] øªø,ø
[369] ø,øªø
[211] ù,ùš
[176] ø,ùšø
[171] øªù,ø
[166] ù,øªø

Top Word Pairs in Tweet in G7:
[161] mrna,vaccines
[160] #covid19,vaccine
[160] vaccine,facts
[160] facts,mrna
[160] vaccines,alter
[160] alter,dna
[160] dna,vaccine
[160] vaccine,make
[160] make,magnetic
[160] magnetic,evidence

Top Word Pairs in Tweet in G8:
[133] public,health
[133] health,ontario
[133] ontario,issued
[133] issued,report
[133] report,day
[133] day,detailing
[133] detailing,202
[133] 202,visits
[133] visits,myocarditis
[132] anthonyfurey,public

Top Word Pairs in Tweet in G9:
[404] æ,æ
[290] æœ,æ
[290] æ,ÿæÿ
[182] ãƒ,ãƒ
[177] hiroshima_pref,æœ
[148] æ,ç
[148] šã,œã
[148] ç,šã
[148] ç,æ
[148] ç,ç

Top Word Pairs in Tweet in G10:
[7] cdc,recommends
[7] very,high
[7] high,risk
[6] currently,cdc
[6] recommends,avoid
[6] avoid,travel
[6] travel,places
[6] places,france
[6] france,ªðÿ
[6] ªðÿ,spain

Top Replied-To
Top Replied-To in Entire Graph:
@byuoritter
@z_mutoh
@cdcgov
@consdragon64
@drrizlaa
@saudimoh
@nicolasnegri6
@robertocvt1975
@ellymelly
@kidsunmasked

Top Replied-To in G1:
@cdcgov
@andrewr90894043
@noillusions3
@bikeme4ever
@domainawareness
@dodea
@bmeinl
@eduengineer

Top Replied-To in G2:
@tyonarock

Top Replied-To in G3:
@byuoritter

Top Replied-To in G4:
@z_mutoh

Top Replied-To in G5:
@salud_na
@salutcat

Top Replied-To in G6:
@hartkuwait
@drmishari
@fhdkar
@badriya1987
@maralazemi
@dr_badralayyad
@mralnafisi2
@too_regular

Top Replied-To in G7:
@mikebespeckled
@andrewr90805764
@jeffreybmcconne

Top Replied-To in G8:
@joe_warmington
@estherwrightman
@demicmilan

Top Replied-To in G10:
@apizzola
@garouspirit
@bumble9991
@chad76211727
@wilsonsandria
@rebel_411
@dibby29118520
@patriot_doug

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@ibaraki_kouhou
@koichi_kawakami
@hiroshima_pref
@chibaken_kouhou
@azdhs
@ministeriosalud
@anthonyfurey
@saludpublicaes
@dr__yas

Top Mentioned in G1:
@cdcgov
@cdcemergency
@hhsgov
@caulfieldtim
@wadepthealth
@cdcdirector
@wahealthsec
@drml350phd
@jameshietala

Top Mentioned in G2:
@koichi_kawakami
@tetyahara
@tyonarock
@minatonakazawa
@__fusion
@issunsakihahika
@aoihana1213
@asadoriq
@yodokikaku
@hiroshima_pref

Top Mentioned in G3:
@mahiedd00291873
@americangirlssa
@adamjsbounds
@doc_mahmoudsaad
@julia_doughty
@jerrybuchko
@dr_asuw
@mdrechsler
@321hellosmile
@mitosya

Top Mentioned in G4:
@ibaraki_kouhou
@tsukubais
@mutoh_z
@z_mutoh

Top Mentioned in G5:
@saludpublicaes
@sanidadgob
@salutcat
@insst_mites_gob
@dgobandalucia
@pifermu
@icscat
@noticiasgob_na
@salud_na
@icsebre

Top Mentioned in G6:
@dr__yas
@alshaye3f
@drmishari
@hartkuwait
@nmmesharii
@badriya1987
@fhdkar
@maralazemi
@qredfox0
@sary_q8

Top Mentioned in G7:
@azdhs
@awakenedlegal
@cdcgov
@cadeyharrel
@right2safeaz

Top Mentioned in G8:
@anthonyfurey
@golden_pup
@stack1975
@mickmac15085908
@joe_warmington
@mamma_tanya

Top Mentioned in G9:
@hiroshima_pref
@cdcgov

Top Mentioned in G10:
@cp24
@grahamwalker
@cbcnews
@deedee36375252
@frankiesquirt
@dorisgrinspun
@cbcalerts
@garouspirit
@apizzola
@thehill

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@simanekomama
@myfavoritescene
@ecodaren
@stockmarcocosta
@macha_oji
@matiere
@solutioneer72
@altamirana2
@7b73f39b85e1415

Top Tweeters in G1:
@7b73f39b85e1415
@rosenchild
@dancas2
@wildwillow65
@viralvideovlogs
@johnjoechad
@denniskoch10
@jot_au
@purplegarter1
@euethnic

Top Tweeters in G2:
@simanekomama
@myfavoritescene
@ecodaren
@citrus_kyoto
@cao58020
@hiruandon89
@covanekosuki
@sobtomk
@chiemma44
@jun_84

Top Tweeters in G3:
@matiere
@padakitty
@toicitiesnews
@bellesapepper37
@yasu_yasuno_sa
@himagine_no9
@legsluquis
@personalfitnes3
@dian5
@zap2

Top Tweeters in G4:
@macha_oji
@amzkhb
@mutoh_z
@noel_hasui
@shirayukihime_p
@heu_ge
@sgr_kn
@nyankolers
@m9harrier
@dummyxtweet

Top Tweeters in G5:
@stockmarcocosta
@caval100
@mariaperezpere
@sylar_71
@937908mcm
@demiurgotuiter
@nachoanon
@anap1958
@rafa_eltorete
@baixsegura_es

Top Tweeters in G6:
@hasan08931491
@sary_q8
@kuwait_tt1100
@vip_66m
@xxmohaxx22
@faisal11930
@bint_alayawid
@skyhook52
@mm__ll3
@arnm2222

Top Tweeters in G7:
@loulachat
@raygibbs1
@jonesseeker
@workingtrucker
@sharonmwinner
@atypicalblonde
@kymburleigh
@caroltpsworld
@rondetta7513
@dancygeorgia

Top Tweeters in G8:
@happyfinko
@ubipages
@bigdintheboro
@annaalbo2
@cindylouab
@joe_warmington
@theshells1111
@otagograd
@annstew80895938
@aletheiaholic

Top Tweeters in G9:
@wadakashiho
@ruriasagi
@takanasiayame
@nyaunyau0426
@sitosiyoko8
@setonoutikai
@tiki_pun
@madabou
@qumokumo
@a941028a

Top Tweeters in G10:
@lizditz
@thehill
@meeksvs
@doritmi
@cbcnews
@scepticalaussie
@_mamadeb
@tony__heller
@cp24
@dandc