NCoV, Twitter, 10/8/2021 9:51:53 AM, 264055


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NCoV_2021-10-08_01-58-19.xlsx
NCoV_2021-10-08_01-58-19.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 08, 2021
Short Description:
NCoV via NodeXL https://bit.ly/3mBAKk4
@sukunabikona7
@cdcgov
@q44bh4ad6wzu8pv
@mostsouthguitar
@gino_2019_ncov
@cathy45836270
@stlcountydoh
@pfizer
@ibaraki_kouhou
@jackposobiec

Top hashtags:
#covid19
#新型コロペウイルス
#covid_19
#longcovid
#vacunaciã³n

Description:
Description
The graph represents a network of 7,545 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, 08 October 2021 at 09:22 UTC.

The requested start date was Friday, 08 October 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 2-day, 5-hour, 25-minute period from Monday, 04 October 2021 at 06:59 UTC to Wednesday, 06 October 2021 at 12:25 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 : 7545
Unique Edges : 3803
Edges With Duplicates : 13551
Total Edges : 17354
Number of Edge Types : 5
Retweet : 5379
MentionsInRetweet : 6542
Replies to : 1357
Tweet : 803
Mentions : 3273
Self-Loops : 849
Reciprocated Vertex Pair Ratio : 0.0188940092165899
Reciprocated Edge Ratio : 0.0370872908186341
Connected Components : 734
Single-Vertex Connected Components : 257
Maximum Vertices in a Connected Component : 2707
Maximum Edges in a Connected Component : 6958
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.228589
Graph Density : 0.000155377385738591
Modularity : 0.483835
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,545 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, 08 October 2021 at 09:22 UTC.

The requested start date was Friday, 08 October 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 2-day, 5-hour, 25-minute period from Monday, 04 October 2021 at 06:59 UTC to Wednesday, 06 October 2021 at 12:25 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:
[1149] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10673-499c05.html
[324] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[147] https://nextstrain.org/ncov/open/global
[144] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[72] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[54] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[53] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[35] https://www.mod.go.jp/j/approach/defense/saigai/2020/covid/center.html

Top URLs in Tweet in G1:
[836] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10673-499c05.html
[2] https://vaers.hhs.gov/faq.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vaers.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10674-499c06.html
[1] https://twitter.com/___Sumer___/status/1445367271778488322
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/pediatric-hcp.html
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9880-487d04.html
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-021-01935-7

Top URLs in Tweet in G2:
[6] https://twitter.com/djaonbea/status/1444644184284180483?s=21
[3] https://www.youtube.com/watch?v=AF5OcpxVFB0&t=2s

[2] https://ivmmeta.com/
[2] https://www.cgt.fr/actualites/france/interprofessionnel/mobilisation/le-5-octobre-tous-unis-pour-nos-droits
[2] https://www.youtube.com/watch?v=sm4DJyZ_R7M&feature=youtu.be

[2] https://www.pei.de/SharedDocs/Downloads/DE/newsroom/dossiers/sicherheitsberichte/sicherheitsbericht-27-12-bis-31-08-21.pdf
[2] https://legrandreveil.co/2021/10/05/enquete-les-deces-chez-les-garcons-adolescents-ont-augmente-de-63-au-royaume-uni-depuis-quils-ont-commence-a-recevoir-le-vaccin-covid-19-selon-les-donnees-de-lons/
[2] https://twitter.com/codupont/status/1445449892248178688
[2] https://twitter.com/JeanRob54950229/status/1445458646402428928?t=iE5P-aRgNqweO3WMRcAwGw&s=19
[2] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1250916

Top URLs in Tweet in G3:
[67] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10673-499c05.html
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10022-491p01.html
[2] https://note.com/osamu_iga/n/nea8aa648a5c0
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated-guidance.html#anchor_1617376555813
[1] https://twitter.com/chavillain3/status/1444991904957882374

Top URLs in Tweet in G4:
[44] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10673-499c05.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html
[1] https://www.cov19-vaccine.mhlw.go.jp/qa/0040.html

Top URLs in Tweet in G5:
[32] https://www.cdc.gov/coronavirus/2019-ncov/community/health-equity/he-in-action.html
[17] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/talk-about-vaccines.html
[15] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/celebrations.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/second-shot.html#vaccination-second-shot
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html#Know
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[4] https://bit.ly/covid19-self-test
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines.html
[3] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html

Top URLs in Tweet in G6:
[17] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10673-499c05.html
[15] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[11] http://ncov.mohw.go.kr
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[6] https://www.who.int/publications/i/item/WHO-2019-nCoV-Digital_certificates-vaccination-2021.1
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html
[4] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html

Top URLs in Tweet in G7:
[313] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[17] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/ichiran.html
[2] https://news.yahoo.co.jp/articles/02ba069f14684a8445f45f51387009122752f425
[2] https://news.yahoo.co.jp/articles/51cd27215f9119b0cee029e0e9564de30239d1aa
[1] https://news.yahoo.co.jp/articles/73872b6e7b8f1a9f627bda1d68b8ad2056a8167d
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/covid-19_vaccine/team.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10673-499c05.html

Top URLs in Tweet in G8:
[155] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10673-499c05.html

Top URLs in Tweet in G9:
[145] https://nextstrain.org/ncov/open/global
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10673-499c05.html

Top URLs in Tweet in G10:
[6] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1
[2] https://www.who.int/news-room/q-a-detail/q-a-children-and-masks-related-to-covid-19
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-guidance.html
[2] https://bit.ly/3iwVGHt
[1] https://apps.who.int/iris/bitstream/handle/10665/345824/WHO-2019-nCoV-Post-COVID-19-condition-Clinical-case-definition-2021.1-eng.pdf
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-myocarditis-pericarditis-vaccines-epi.pdf
[1] https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Praevention-Schulen_Ergaenzung.html
[1] https://euro.who.int/__data/assets/pdf_file/0006/511827/HighLevelExpertGroup-COVID19-eng.pdf
[1] https://twitter.com/DGKJ_eV/status/1443845437962792970
[1] https://bit.ly/2WI3y1o

Top Domains
Top Domains in Tweet in Entire Graph:
[1238] go.jp
[894] cdc.gov
[346] ibaraki.jp
[248] lg.jp
[165] nextstrain.org
[144] bit.ly
[91] twitter.com
[91] recombinomics.co
[86] tokyo.jp
[61] who.int

Top Domains in Tweet in G1:
[838] go.jp
[3] cdc.gov
[2] hhs.gov
[1] twitter.com
[1] nature.com

Top Domains in Tweet in G2:
[40] twitter.com
[8] youtube.com
[4] t.me
[3] legrandreveil.co
[2] rt.com
[2] reseauinternational.net
[2] sciencedirect.com
[2] ivmmeta.com
[2] cgt.fr
[2] pei.de

Top Domains in Tweet in G3:
[69] go.jp
[2] note.com
[1] cdc.gov
[1] twitter.com

Top Domains in Tweet in G4:
[45] go.jp
[8] cdc.gov

Top Domains in Tweet in G5:
[155] cdc.gov
[17] bit.ly
[11] twitter.com
[3] archive.org
[2] cms.gov
[2] seaotterclassic.com
[2] vaccines.gov
[2] ift.tt
[2] j.mp
[1] canada.ca

Top Domains in Tweet in G6:
[137] cdc.gov
[28] go.jp
[21] gob.es
[17] twitter.com
[16] go.kr
[15] who.int
[10] bit.ly
[10] lg.jp
[8] tokyo.jp
[7] gencat.cat

Top Domains in Tweet in G7:
[334] ibaraki.jp
[5] co.jp
[1] go.jp

Top Domains in Tweet in G8:
[155] go.jp

Top Domains in Tweet in G9:
[145] nextstrain.org
[6] go.jp

Top Domains in Tweet in G10:
[11] who.int
[3] bit.ly
[2] cdc.gov
[1] publichealthontario.ca
[1] rki.de
[1] twitter.com
[1] gov.lb

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[978] covid19
[317] 新型コロペウイルス
[81] covid_19
[69] longcovid
[67] vacunaciã³n
[53] covid
[50] 練馬场
[46] countlongcovid
[38] vaccinated
[35] 自衛隚大規模枥種センター



Top Hashtags in Tweet in G2:
[10] pfizer
[9] ps
[7] covid
[7] plusjamaisps
[5] covid_19
[4] antipasssanitaire
[4] larem
[3] eudravigilence
[3] janssen
[3] vaers

Top Hashtags in Tweet in G4:
[1] マーマスク

Top Hashtags in Tweet in G5:
[716] covid19
[28] vaccinated
[15] dyk
[10] covid
[8] travel
[4] healthequity
[4] disabilities
[4] hispanicheritagemonth
[3] pregnancy
[3] vaxfact

Top Hashtags in Tweet in G6:
[48] covid19
[18] coronavirus
[15] ncov
[13] covid
[11] コロペ
[11] corona
[11] 보건복지부
[11] klab
[11] korea
[11] data

Top Hashtags in Tweet in G7:
[308] 新型コロペウイルス
[6] 蜨åÿžçœœ
[5] いばらきアマビエちゃん
[2] 龍ケ崞
[2] 龍ケ崞市コロペ対策

Top Hashtags in Tweet in G10:
[64] longcovid
[53] covid19
[46] countlongcovid
[2] 2019nc0v
[2] covid19ireland
[2] healthcare
[1] knowthefacts
[1] coronavirus
[1] wuhan
[1] china

Top Words
Top Words in Tweet in Entire Graph:
[16602] æ
[13287] ãƒ
[11796] ç
[6302] ό
[5101] ÿæÿ
[4811] ªã
[4342] ϋ
[3799] æœ
[3762] マãƒ
[3496] ÿã

Top Words in Tweet in G1:
[2809] ãƒ
[2736] æ
[1813] ç
[1796] ÿæÿ
[1713] ό
[1001] æœ
[959] ªæ
[931] ªã
[922] šã
[879] マã

Top Words in Tweet in G2:
[840] gino_2019_ncov
[233] ce
[196] c'est
[169] dã
[146] ils
[115] par
[114] sont
[95] rã
[90] tous
[85] bien

Top Words in Tweet in G3:
[4822] æ
[2855] ç
[2192] ãƒ
[2149] ό
[2062] ªã
[2040] マãƒ
[1978] æž
[1457] ÿæÿ
[757] æœ
[749] ϋ

Top Words in Tweet in G4:
[2710] ãƒ
[2681] ç
[2123] æ
[2032] ό
[1941] ÿã
[1338] ϋ
[1280] Ͼ
[739] ÿæÿ
[709] ªã
[706] マãƒ

Top Words in Tweet in G5:
[716] #covid19
[636] cdcgov
[339] health
[319] people
[280] vaccines
[227] help
[218] death
[215] vaccination
[213] severe
[211] illness

Top Words in Tweet in G6:
[289] ì
[266] ãƒ
[232] æ
[198] ç
[155] ë
[92] ê
[88] 19
[87] covid
[78] ÿæÿ
[60] ìƒ

Top Words in Tweet in G7:
[3069] æ
[1463] ç
[730] ãƒ
[635] æœ
[397] ÿæÿ
[350] ペã
[348] åž
[319] æƒ
[312] žå
[312] ˆã

Top Words in Tweet in G8:
[930] ç
[621] ϋ
[466] æ
[310] žã
[157] ãƒ
[156] æœ
[156] ό
[156] ªã
[156] ÿã
[155] ÿç

Top Words in Tweet in G9:
[1337] ãƒ
[618] æ
[449] ªã
[318] ç
[298] ÿã
[157] ϋ
[155] æœ
[151] ªæ
[147] çµ
[147] ペã

Top Words in Tweet in G10:
[74] definition
[74] condition
[65] today
[64] #longcovid
[53] #covid19
[46] published
[46] step
[46] forward
[46] #countlongcovid
[45] dr2nisreenalwan

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[5129] ãƒ,ãƒ
[4142] ãƒ,æ
[4036] æ,ÿæÿ
[3862] ç,æ
[2540] æœ,œå
[2465] ç,ç
[2297] マãƒ,マã
[2236] ÿæÿ,ç
[1608] œãƒ,ãƒ
[1605] ÿå,ªã

Top Word Pairs in Tweet in G1:
[1666] ãƒ,æ
[1011] ãƒ,ãƒ
[919] æ,ÿæÿ
[877] ç,æ
[875] ÿæÿ,ç
[875] æœ,œå
[873] sukunabikona7,ç
[837] マãƒ,マã
[835] œãƒ,ãƒ
[835] マã,œã

Top Word Pairs in Tweet in G2:
[40] yamnhn,gino_2019_ncov
[40] zaskabot,jaimehorta17
[40] mpdelagontrie,mauriceantiste
[40] mauriceantiste,dassouline
[40] dassouline,joelbigot49
[37] joelbigot49,florenceblatrix
[36] louan07,gino_2019_ncov
[36] ce,dã
[34] dã,goã
[34] gino_2019_ncov,zaskabot

Top Word Pairs in Tweet in G3:
[1421] ãƒ,æ
[1405] ç,æ
[1389] æ,ÿæÿ
[1353] ç,ç
[1308] æ,ªã
[751] æœ,œå
[736] ãƒ,ãƒ
[721] ÿæÿ,ç
[715] マãƒ,マã
[702] ÿå,ªã

Top Word Pairs in Tweet in G4:
[1329] ãƒ,ãƒ
[700] ç,æ
[697] æ,ÿæÿ
[690] æœ,œå
[689] マãƒ,マã
[656] ç,ç
[641] ÿã,æ
[641] šã,œå
[640] マã,æš
[640] æš,œã

Top Word Pairs in Tweet in G5:
[249] #covid19,vaccines
[207] severe,illness
[176] illness,hospitalization
[157] help,prevent
[156] working,well
[156] well,help
[156] prevent,severe
[156] hospitalization,death
[155] vaccines,working
[155] death,public

Top Word Pairs in Tweet in G6:
[82] ãƒ,ãƒ
[70] covid,19
[63] ì,ë
[56] ì,ì
[51] ì,ìƒ
[45] æ,ÿæÿ
[44] ãƒ,ペ
[40] ç,ç
[33] åž,ãƒ
[31] ãƒ,æ

Top Word Pairs in Tweet in G7:
[962] æ,æ
[622] æœ,æ
[395] æ,ÿæÿ
[352] ÿæÿ,ç
[350] ãƒ,ペã
[347] åž,ãƒ
[346] ペã,ãƒ
[344] ãƒ,æ
[335] ç,æ
[325] æ,ç

Top Word Pairs in Tweet in G8:
[310] ç,ç
[156] æœ,œå
[156] ϋ,؋
[155] œå,ç
[155] ç,ÿç
[155] ÿç,ç
[155] ç,æ
[155] æ,011
[155] 011,841
[155] 841,2341ðÿ

Top Word Pairs in Tweet in G9:
[592] ãƒ,ãƒ
[302] ç,æ
[161] ãƒ,æ
[151] æ,ªæ
[149] æ,ªã
[147] ãƒ,ペã
[145] ãƒ,ªã
[145] ªã,çµ
[145] çµ,ÿ
[145] ÿ,žåž

Top Word Pairs in Tweet in G10:
[64] condition,#longcovid
[51] definition,#covid19
[51] #covid19,condition
[46] today,published
[46] published,definition
[46] #longcovid,step
[46] step,forward
[46] forward,#countlongcovid
[45] dr2nisreenalwan,today
[45] #countlongcovid,httpâ

Top Replied-To
Top Replied-To in Entire Graph:
@gino_2019_ncov
@louan07
@jeansaisrie
@jeanyvescapo
@yamnhn
@griffondorr
@delire67
@dindjar95365180
@ceseht
@frederic_bultot

Top Replied-To in G1:
@stargryps

Top Replied-To in G2:
@gino_2019_ncov
@louan07
@jeansaisrie
@jeanyvescapo
@delire67
@yamnhn
@griffondorr
@dindjar95365180
@frederic_bultot
@ceseht

Top Replied-To in G4:
@29silicon

Top Replied-To in G5:
@cdcgov
@cbsnews
@wsj
@guardiannews
@drtomfrieden
@reuters_health
@webmd
@cbseveningnews
@abc7
@davenewworld_2

Top Replied-To in G6:
@byuoritter

Top Replied-To in G10:
@whowpro
@galinash
@zdfnrw
@marcdaoud3
@enca
@markensysteme

Top Mentioned
Top Mentioned in Entire Graph:
@sukunabikona7
@q44bh4ad6wzu8pv
@mostsouthguitar
@cdcgov
@gino_2019_ncov
@ibaraki_kouhou
@kea92vx5biih6ox
@aminimaz
@chibaken_kouhou
@sanidadgob

Top Mentioned in G1:
@sukunabikona7
@930_jp
@tokyo2020tokyo
@ka0com

Top Mentioned in G2:
@gino_2019_ncov
@jaimehorta17
@bernardjomier
@louan07
@thalassa2008
@yamnhn
@zaskabot
@patrickkanner
@mpdelagontrie
@mauriceantiste

Top Mentioned in G3:
@q44bh4ad6wzu8pv
@sukunabikona7
@pelicanmemo
@mostsouthguitar
@tara_and_ikura

Top Mentioned in G4:
@mostsouthguitar
@sukunabikona7
@q44bh4ad6wzu8pv
@ra_koyama
@29silicon

Top Mentioned in G5:
@cdcgov
@cdcemergency
@cdcespanol
@drleanawen
@seccardona
@rosenchild
@medicaregov
@drml350phd
@njdeptofhealth
@cdctravel

Top Mentioned in G6:
@clubfmphilly
@rise4war
@_grand_wazoo_
@bartsnhslibrary
@la_resistensia_

Top Mentioned in G7:
@ibaraki_kouhou
@kitaibarakicity
@tsukubais
@blurmyu
@sukunabikona7
@ryugasaki_city
@mostsouthguitar
@q44bh4ad6wzu8pv

Top Mentioned in G8:
@kea92vx5biih6ox

Top Mentioned in G9:
@aminimaz
@sukunabikona7
@q44bh4ad6wzu8pv
@mostsouthguitar

Top Mentioned in G10:
@who
@dr2nisreenalwan
@who_europe
@krutikakuppalli
@cdcgov
@dgkj_ev
@ggkuhnle
@berfliegertief1
@profdtschneider
@ecdc_eu

Top Tweeters
Top Tweeters in Entire Graph:
@myfavoritescene
@jurylady5
@guldeen
@tradermacocosta
@hashimoto914
@as_sakimori
@matiere
@nyancow
@kogemayo
@commonpatriot

Top Tweeters in G1:
@guldeen
@kogemayo
@machi_usagi
@juners
@lcw_mofu
@roll_your_own
@madfall1213
@reichi062
@yymods
@lm700j

Top Tweeters in G2:
@thalassa2008
@lau68951920
@barberis888
@lopezdominique2
@rt_com
@yvespdb
@baboune04
@levyloiseau
@ertseled491
@johndartois

Top Tweeters in G3:
@hashimoto914
@as_sakimori
@syatekiya072
@akane_kawahata
@citrus_kyoto
@muchiripurin
@kokusizu2
@nicomikuro
@satosuguru
@neko_mimisky

Top Tweeters in G4:
@myfavoritescene
@nyancow
@74irosocco
@monocat33
@toronei
@hmiyabi
@newla
@junklife1km
@suzuno_ne
@kinasato_cap001

Top Tweeters in G5:
@padakitty
@rosenchild
@viralvideovlogs
@wildwillow65
@justiceoutcry
@wadakashiho
@frecklesxx20
@its_coachb
@coronaupdatebot
@carrybeyond

Top Tweeters in G6:
@matiere
@toicitiesnews
@personalfitnes3
@m157q_news_rss
@didaclopez
@tetra_luna_
@03kustom
@bad_tits
@munaelmasriya
@andthisandthat

Top Tweeters in G7:
@westinghouse565
@shintochigi1
@amzkhb
@yukimiyatakako
@noel_hasui
@zyoushou
@shirayukihime_p
@sgr_kn
@nyankolers
@titov_09

Top Tweeters in G8:
@taka3
@diabloedge04
@loudminorityjp
@aruyowalker
@cgltwbf9p6xnohd
@aozola_ha
@kj666japan
@emusakobukuro
@endmaoork
@sumire08042

Top Tweeters in G9:
@shidenpg10
@poyopoyochan
@peko409
@brainfs
@neko_tubuyaki
@yume8izumi
@bugbearr
@yasu_osugi
@pixselp
@urushizawa_t

Top Tweeters in G10:
@wildwalkerwoman
@michael_kunz
@enca
@ameliaaber
@cayocornelio
@alfredgliddon
@crimemind3
@wenurses
@walrathis
@egghat


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