SARS-NCOV, Twitter, 2/22/2021 3:25:59 AM, 249342


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SARS-NCOV_2021-02-21_03-14-31.xlsx
SARS-NCOV_2021-02-21_03-14-31.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 22, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/37AK8xC
@nextstrain
@cdcgov
@kenn_ffci
@kenmomd
@kerorrin
@tuliodna
@who
@jnkengasong
@sophie_mokoena
@james__glen

Top hashtags:
#covid19
#sarscov2
#opendata
#covid
#dyk
#coronavirus
#ncov
#sars
#もういらないだろ自民党
#もううんざりだよ自民党

Description:
Description
The graph represents a network of 2,260 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 21 February 2021 at 11:17 UTC.

The requested start date was Friday, 19 February 2021 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 13-day, 22-hour, 24-minute period from Friday, 05 February 2021 at 01:50 UTC to Friday, 19 February 2021 at 00:14 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 : 2260
Unique Edges : 1280
Edges With Duplicates : 2533
Total Edges : 3813
Number of Edge Types : 5
Retweet : 1073
MentionsInRetweet : 1368
Tweet : 328
Replies to : 291
Mentions : 753
Self-Loops : 342
Reciprocated Vertex Pair Ratio : 0.00413983440662373
Reciprocated Edge Ratio : 0.00824553366926248
Connected Components : 395
Single-Vertex Connected Components : 141
Maximum Vertices in a Connected Component : 641
Maximum Edges in a Connected Component : 1615
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.463797
Graph Density : 0.000427591502230997
Modularity : 0.585759
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,260 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 21 February 2021 at 11:17 UTC.

The requested start date was Friday, 19 February 2021 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 13-day, 22-hour, 24-minute period from Friday, 05 February 2021 at 01:50 UTC to Friday, 19 February 2021 at 00:14 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 : SARS-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:
[155] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[120] https://nextstrain.org/ncov
[92] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[52] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html
[28] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=
[15] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10144-covid19-34.html
[14] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[12] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779160
[10] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en

Top URLs in Tweet in G1:
[28] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[14] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10133-491d01.html
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10144-covid19-34.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10152-493p01.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b325e506b3e5e2058724d20307d77503059&location_id=4698587505305901794&signature=24bd3a53214b0c713ef8df0779e2a3341e7cf0e2b71beae3dc649a04d3c4fde5
[1] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b325e50774a4d212f347721527d77202f59&location_id=4698587505305901794&signature=19b2b7edb8facc6b2d76fa6fbdea4ff37cac650cabff7cca0f036b8d23baeefa
[1] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en

Top URLs in Tweet in G2:
[26] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[8] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779160
[5] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[4] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10144-covid19-34.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10152-493p01.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/transmission_k_12_schools.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/variant-info.html
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/20210208_Variantes_de_SARS-CoV-2_en_Espana.pdf

Top URLs in Tweet in G3:
[120] https://nextstrain.org/ncov
[28] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=
[6] https://nextstrain.org/ncov/africa
[4] https://nextstrain.org/ncov/oceania
[4] https://cov-lineages.org/
[3] https://nextstrain.org/sars-cov-2/
[2] https://nextstrain.org/ncov/asia
[2] https://nextstrain.org/ncov/south-america
[2] https://journals.scholarsportal.info/search?q=((COVID-19)%20OR%20(coronavirus)%20OR%20(2019-nCoV)%20OR%20(SARS-CoV-2))&search_in=anywhere&op=AND&q=2021-02-17&search_in=LD
[2] https://journals.scholarsportal.info/search?q=((COVID-19)%20OR%20(coronavirus)%20OR%20(2019-nCoV)%20OR%20(SARS-CoV-2))&search_in=anywhere&op=AND&q=2021-02-04&search_in=LD

Top URLs in Tweet in G4:
[16] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[4] https://www.pnas.org/content/118/4/e2014564118
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/index.html
[3] https://www.ucsf.edu/news/2020/06/417906/still-confused-about-masks-heres-science-behind-how-face-masks-prevent
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/transmission_k_12_schools.html
[2] https://medical.mit.edu/covid-19-updates/2020/07/do-cloth-masks-work
[2] https://www.mayoclinic.org/diseases-conditions/coronavirus/in-depth/coronavirus-mask/art-20485449
[2] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/coronavirus-face-masks-what-you-need-to-know
[2] https://theconversation.com/covid-19-masks-faqs-how-can-cloth-stop-a-tiny-virus-whats-the-best-fabric-do-they-protect-the-wearer-146822

Top URLs in Tweet in G5:
[1] https://nextstrain.org/ncov/global?fbclid=IwAR0XIrkuNmhqiMLICVRAnXMkVMeyZDiIpGg-7fOmF1kFmTUIea236H9CUeU

Top URLs in Tweet in G6:
[2] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html
[2] https://engineering.jhu.edu/case/faculty/lauren-gardner/
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-genomic-sequencing-GISRS-2021.1
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-mother-to-child-transmission-2021.1
[1] https://nextstrain.org/sars-cov-2/
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-mother-to-child-transmission-2021.1#.YCPL5aQa3hc.twitter
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-mother-to-child-transmission-2021.1
[1] https://systems.jhu.edu/research/public-health/ncov/

Top URLs in Tweet in G7:
[7] https://africacdc.org/download/statement-on-the-efficacy-of-the-astrazeneca-covid-19-vaccine-chadox1-ncov-19-against-the-sars-cov-2-variants/
[3] https://africacdc.org/news-item/statement-on-the-efficacy-of-the-astrazeneca-covid-19-vaccine-chadox1-ncov-19-against-the-sars-cov-2-variants/
[1] https://twitter.com/JNkengasong/status/1359817745026736137
[1] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[1] https://www.medpagetoday.com/infectiousdisease/covid19/91098
[1] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779160

Top URLs in Tweet in G8:
[4] https://africacdc.org/news-item/statement-on-the-efficacy-of-the-astrazeneca-covid-19-vaccine-chadox1-ncov-19-against-the-sars-cov-2-variants/
[1] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779160#disqus_thread

Top URLs in Tweet in G9:
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html

Top URLs in Tweet in G10:
[37] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html

Top Domains
Top Domains in Tweet in Entire Graph:
[366] cdc.gov
[168] nextstrain.org
[142] go.jp
[56] scholarsportal.info
[37] who.int
[21] publichealthontario.ca
[21] ssrn.com
[18] africacdc.org
[16] twitter.com
[14] gob.es

Top Domains in Tweet in G1:
[48] go.jp
[3] cdc.gov
[3] nextstrain.org
[2] ne.jp
[1] publichealthontario.ca

Top Domains in Tweet in G2:
[49] cdc.gov
[41] go.jp
[10] ssrn.com
[9] twitter.com
[9] who.int
[7] nextstrain.org
[7] gob.es
[4] ne.jp
[3] africacdc.org
[2] virological.org

Top Domains in Tweet in G3:
[143] nextstrain.org
[56] scholarsportal.info
[4] cov-lineages.org
[2] virological.org

Top Domains in Tweet in G4:
[31] cdc.gov
[4] pnas.org
[3] ucsf.edu
[2] mit.edu
[2] mayoclinic.org
[2] hopkinsmedicine.org
[2] theconversation.com
[1] nih.gov
[1] nature.com
[1] medixinhaler.com

Top Domains in Tweet in G5:
[1] nextstrain.org

Top Domains in Tweet in G6:
[4] who.int
[3] jhu.edu
[2] cdc.gov
[1] nextstrain.org

Top Domains in Tweet in G7:
[10] africacdc.org
[1] twitter.com
[1] gov.au
[1] medpagetoday.com
[1] ssrn.com

Top Domains in Tweet in G8:
[4] africacdc.org
[1] ssrn.com

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

Top Domains in Tweet in G10:
[37] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[221] covid19
[163] sarscov2
[120] opendata
[41] covid
[38] dyk
[38] coronavirus
[31] ncov
[30] sars
[30] もういらないだろ自民党
[30] もううんざりだよ自民党



Top Hashtags in Tweet in G2:
[9] covid19
[3] vaccine
[3] sars
[2] sarscov2
[2] coronavirus
[2] privatperson
[2] pandemie
[2] coronatest
[2] testkonzept
[2] quarantäne

Top Hashtags in Tweet in G3:
[148] covid19
[148] sarscov2
[120] opendata
[5] sars_cov_2
[4] phylogenic
[3] genome
[2] europe
[2] mutations
[2] covid_19
[2] genomic

Top Hashtags in Tweet in G4:
[37] dyk
[5] covid19
[2] sarscov2
[2] variants
[1] askreuters
[1] publichealth
[1] cnntownhall

Top Hashtags in Tweet in G6:
[11] sarscov2
[2] covid19
[2] report
[2] gardner
[2] who
[1] research
[1] covid
[1] hopkins
[1] coronavirus
[1] covidー19

Top Hashtags in Tweet in G7:
[19] covid19
[13] vaccine
[4] vaccin
[3] covid
[2] vaccinesaresafe
[2] vaccinationsaveslifes
[1] dyk
[1] astrazenecavaccine
[1] southafrica
[1] sars

Top Hashtags in Tweet in G8:
[4] astrazenecavaccineisshit

Top Words
Top Words in Tweet in Entire Graph:
[979] sars
[834] cov
[295] ncov
[283] 19
[273] 新型コロナウイルス
[271] 感染
[266] 伝播性の増加や抗原性の変化が懸念される
[252] covid
[221] #covid19
[204] virus

Top Words in Tweet in G1:
[217] cov
[189] sars
[185] 感染
[185] 伝播性の増加や抗原性の変化が懸念される
[185] 新型コロナウイルス
[119] kenmomd
[107] あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね
[107] 中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と
[106] の新規変異株に
[79] の新規変異株について

Top Words in Tweet in G2:
[149] sars
[148] cov
[52] ncov
[47] 19
[33] の新規変異株について
[32] 感染
[31] covid
[30] 新型コロナウイルス
[28] 伝播性の増加や抗原性の変化が懸念される
[28] 第6報

Top Words in Tweet in G3:
[148] #covid19
[148] #sarscov2
[134] thanks
[120] #opendata
[120] sharing
[120] gisaid
[120] updated
[113] we've
[112] nextstrain
[108] sequences

Top Words in Tweet in G4:
[78] cdcgov
[69] sars
[61] cov
[48] surveillance
[47] virus
[42] national
[42] strain
[42] program
[41] cdc
[40] variants

Top Words in Tweet in G5:
[98] tutte
[97] sito
[97] varianti
[97] conosciute
[97] finora
[97] sars
[97] cov2
[97] capire
[97] razza
[97] follia

Top Words in Tweet in G6:
[65] named
[64] today
[64] anniversary
[64] coronavirus
[64] stopped
[64] being
[64] called
[64] 2019
[64] ncov
[64] disease

Top Words in Tweet in G7:
[73] 19
[50] astrazeneca
[47] variants
[46] statement
[39] cov
[38] sars
[37] against
[36] efficacy
[35] covid
[33] vaccine

Top Words in Tweet in G8:
[49] vaccine
[49] against
[48] pre
[48] print
[48] az
[48] similarly
[48] effective
[48] variant
[48] reduces
[48] virus

Top Words in Tweet in G10:
[40] hcp
[40] enter
[40] room
[40] patient
[40] suspected
[40] confirmed
[40] sars
[40] cov
[38] adhe
[36] infection

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[765] sars,cov
[269] 新型コロナウイルス,sars
[266] 感染,伝播性の増加や抗原性の変化が懸念される
[266] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス
[184] covid,19
[161] cov,の新規変異株について
[148] #covid19,#sarscov2
[120] thanks,#opendata
[120] #opendata,sharing
[120] sharing,gisaid

Top Word Pairs in Tweet in G1:
[189] sars,cov
[185] 感染,伝播性の増加や抗原性の変化が懸念される
[185] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス
[185] 新型コロナウイルス,sars
[107] あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね,中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と
[107] 中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と,感染
[106] kenmomd,あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね
[106] cov,の新規変異株に
[79] cov,の新規変異株について
[39] の新規変異株について,第6報

Top Word Pairs in Tweet in G2:
[134] sars,cov
[33] cov,の新規変異株について
[30] covid,19
[29] 新型コロナウイルス,sars
[28] 感染,伝播性の増加や抗原性の変化が懸念される
[28] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス
[27] の新規変異株について,第6報
[17] 2019,ncov
[16] chadox1,ncov
[16] ncov,19

Top Word Pairs in Tweet in G3:
[148] #covid19,#sarscov2
[120] thanks,#opendata
[120] #opendata,sharing
[120] sharing,gisaid
[113] gisaid,we've
[113] we've,updated
[105] nextstrain,thanks
[96] #sarscov2,sequences
[58] covid,19
[58] scholars,portal

Top Word Pairs in Tweet in G4:
[61] sars,cov
[42] national,sars
[42] cov,strain
[42] strain,surveillance
[42] surveillance,program
[37] #dyk,cdc
[37] cdc,uses
[37] uses,national
[37] program,detect
[37] detect,monitor

Top Word Pairs in Tweet in G5:
[97] sito,tutte
[97] tutte,varianti
[97] varianti,conosciute
[97] conosciute,finora
[97] finora,sars
[97] sars,cov2
[97] cov2,capire
[97] capire,razza
[97] razza,follia
[97] follia,rappresenti

Top Word Pairs in Tweet in G6:
[64] today,anniversary
[64] anniversary,coronavirus
[64] coronavirus,stopped
[64] stopped,being
[64] being,called
[64] called,2019
[64] 2019,ncov
[64] ncov,named
[64] named,disease
[63] helenbranswell,today

Top Word Pairs in Tweet in G7:
[38] sars,cov
[34] efficacy,astrazeneca
[34] covid,19
[34] against,sars
[33] astrazeneca,covid
[33] cov,variants
[32] statement,efficacy
[32] 19,vaccine
[32] chadox1,ncov
[32] ncov,19

Top Word Pairs in Tweet in G8:
[48] pre,print
[48] print,az
[48] az,vaccine
[48] vaccine,similarly
[48] similarly,effective
[48] effective,against
[48] against,variant
[48] variant,reduces
[48] reduces,virus
[48] virus,shedding

Top Word Pairs in Tweet in G10:
[40] hcp,enter
[40] enter,room
[40] room,patient
[40] patient,suspected
[40] suspected,confirmed
[40] confirmed,sars
[40] sars,cov
[36] cov,infection
[35] microlabdoc,hcp
[35] infection,adhe

Top Replied-To
Top Replied-To in Entire Graph:
@_mickydicky
@cdcgov
@scrowder
@senatorromney
@merja_rantala
@alohasnackbar09
@pwolodarski
@sm4tech
@matthewjshow
@mcguire_lab

Top Replied-To in G1:
@derive_ip
@iuchi2050_iu
@sunasaji

Top Replied-To in G3:
@maestro_rayo

Top Replied-To in G4:
@cdcgov
@alohasnackbar09
@cdcemergency
@adamjkrejci
@disinfector
@averyryla
@notmixxwilly
@joshtpa
@dirigoduke
@snoftle

Top Replied-To in G6:
@who
@bronwen6720

Top Replied-To in G7:
@africacdc

Top Replied-To in G9:
@musclebalancing

Top Mentioned
Top Mentioned in Entire Graph:
@gisaid
@kenmomd
@nextstrain
@lameduck1960
@who
@cdcgov
@helenbranswell
@jennerinstitute
@influenzer3
@microlabdoc

Top Mentioned in G1:
@kenmomd
@influenzer3
@masanoatsuko
@tomynyo
@twremcat
@takainou_0907
@mebaruhirame
@tbm4_jp
@thouautumn
@sosorasora3

Top Mentioned in G2:
@sixandlaura
@7pleinelune
@priscilagural

Top Mentioned in G3:
@gisaid
@nextstrain
@trvrb
@ufsweb
@scholarsportal
@andersonbrito_
@lebamuniv
@q_nationaltaiwa
@mrcunitgambia
@giga_uliege

Top Mentioned in G4:
@cdcgov
@globalphobserv
@majumdar_suman
@cdcmmwr
@rodneyrohde
@chhcs
@cdcdirector
@megensomeone
@wtoddmyrick
@scrowder

Top Mentioned in G5:
@lameduck1960

Top Mentioned in G6:
@who
@helenbranswell
@mvankerkhove
@hrpresearch
@otuncalp
@dremilyrsmith
@texasdownunder
@james__glen
@bronwen6720

Top Mentioned in G7:
@jnkengasong
@africacdc
@astrazeneca
@laktarr001
@_africanunion
@thelancet
@cdcgov
@promesseckaniki
@cmulumb
@kateribet

Top Mentioned in G8:
@jennerinstitute
@patientsafe3

Top Mentioned in G9:
@smokeystafford
@silver_strike
@minnesotaexpat
@thinkytexan
@vincegottalotta
@dennisabm
@swolekyloren
@nuckchorris16
@para82nd_1
@snojustice1

Top Mentioned in G10:
@microlabdoc
@theotherdodd
@jennerinstitute

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@myfavoritescene
@tokoroten510
@threadreaderapp
@ecodaren
@tommybrain
@lopezgovlaw
@bannerite
@sosorasora3
@citrus_kyoto

Top Tweeters in G1:
@ja8yum
@ecodaren
@sosorasora3
@citrus_kyoto
@cao58020
@chiemma44
@seki_yo
@cordwainerscat
@sazamaru
@uchida_kawasaki

Top Tweeters in G2:
@covanekosuki
@gooochin
@seckin_deniz
@didaclopez
@cheva
@alykhansatchu
@peko409
@higesan39
@fredwalton216
@shanghai_ii

Top Tweeters in G3:
@viralvideovlogs
@sandoly
@mig30m6
@anonomouse1981
@____roar____
@gombang
@drkassandrapari
@roundlike
@kerorrin
@garigalanj

Top Tweeters in G4:
@pajaropolitico
@wadakashiho
@epuujee
@omi_082
@chickilopiccolo
@celestebyrne3
@saludhealthinfo
@monitor_ph
@kate_is_rising
@pressherald

Top Tweeters in G5:
@tommybrain
@ponytaele
@zioklint
@annamariacastel
@enki2270
@atestaltasempre
@efisio31251859
@quaranta_vito
@loren_ch
@caterinacorda1

Top Tweeters in G6:
@padakitty
@lizditz
@cnbsnana
@tempkt
@rebels2008
@pkanagaratnam
@euphoriceuler
@scott_squires
@dd9000
@caseyhinds

Top Tweeters in G7:
@benjiseitlhamo
@sophie_mokoena
@quackarazzi
@medpagetoday
@onisillos
@maawlaw
@drelijahmatolo
@wired_we
@ivynyayieka
@becky_dale

Top Tweeters in G8:
@bprophetable
@alcinx
@doctorwarmflash
@martinremains
@portefeuillefun
@patientsafe3
@enricoi00
@lottesometimes
@milmolaman
@notdred

Top Tweeters in G9:
@vickie627
@mrfly187
@ladyoftheocean1
@mongo3804
@smokeystafford
@vincegottalotta
@klee34036780
@shlomoindiana
@tundrawolfqueen
@wookietim

Top Tweeters in G10:
@paulpaul49
@grannywils
@katecushing2
@awenior
@anilkjain61
@agnesayton
@alitwy
@je_pala
@drtomlinsonep
@glynsnowdon