NHSMillion, Twitter, 4/12/2020 1:23:44 AM, 224846


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NHSMillion_2020-04-11_12-26-01.xlsx
NHSMillion_2020-04-11_12-26-01.xlsx
From:
Connected Action NodeXL-Reports
Uploaded on:
April 12, 2020
Short Description:
NHSMillion via NodeXL https://bit.ly/2XrdXfO
@nhsmillion
@lucybhome
@cirkus37
@arabforlife83
@matthancock
@katcassard
@kentishphotos
@itjustme1965
@peterjohncox
@wisheart12

Top hashtags:
#nhs
#nhsheroes
#nhsthankyou
#ppe
#devon
#covid19
#coronavirus
#stayhome

Description:
Description
The graph represents a network of 17,300 Twitter users whose recent tweets contained "NHSMillion", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 11 April 2020 at 19:36 UTC.

The tweets in the network were tweeted over the 10-hour, 20-minute period from Saturday, 11 April 2020 at 09:06 UTC to Saturday, 11 April 2020 at 19:26 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 : 17300
Unique Edges : 20908
Edges With Duplicates : 3612
Total Edges : 24520
Number of Edge Types : 5
Retweet : 14660
Replies to : 2576
Mentions : 3914
MentionsInRetweet : 2843
Tweet : 527
Self-Loops : 530
Reciprocated Vertex Pair Ratio : 0.00513698630136986
Reciprocated Edge Ratio : 0.010221465076661
Connected Components : 414
Single-Vertex Connected Components : 337
Maximum Vertices in a Connected Component : 16775
Maximum Edges in a Connected Component : 24003
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.223993
Graph Density : 7.25726068565559E-05
Modularity : 0.438013
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 17,300 Twitter users whose recent tweets contained "NHSMillion", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 11 April 2020 at 19:36 UTC.

The tweets in the network were tweeted over the 10-hour, 20-minute period from Saturday, 11 April 2020 at 09:06 UTC to Saturday, 11 April 2020 at 19:26 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 : TwitterSearch
Graph Term : NHSMillion
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:
[248] https://twitter.com/nhsmillion/status/1248896514258276358
[177] https://twitter.com/NHSMillion/status/1248896514258276358
[114] https://twitter.com/nhsmillion/status/1248847981840928768
[111] https://twitter.com/NHSMillion/status/1248847981840928768
[29] https://twitter.com/NHSMillion/status/1248929179980255232
[22] https://twitter.com/NHSMillion/status/1248967670327902216
[21] https://twitter.com/nhsmillion/status/1248924229929709569
[19] https://twitter.com/nhsmillion/status/1248967670327902216
[18] https://twitter.com/NHSMillion/status/1248924229929709569
[11] https://twitter.com/nhsmillion/status/1248929179980255232

Top URLs in Tweet in G1:
[18] https://twitter.com/nhsmillion/status/1248896514258276358
[12] https://twitter.com/NHSMillion/status/1248896514258276358
[5] https://twitter.com/nhsmillion/status/1248847981840928768
[4] https://twitter.com/NHSMillion/status/1248967670327902216
[4] https://twitter.com/NHSMillion/status/1248847981840928768
[3] https://twitter.com/NHSMillion/status/1248929179980255232
[2] https://twitter.com/NHSMillion/status/1248924229929709569
[2] https://twitter.com/paratruthuk/status/1247502163930157065
[1] http://www.nhsmillion.co.uk/nhs-posters
[1] https://www.telegraph.co.uk/news/0/nhs-died-coronavirus-frontline-workers-victims/

Top URLs in Tweet in G2:
[43] https://twitter.com/nhsmillion/status/1248847981840928768
[36] https://twitter.com/NHSMillion/status/1248847981840928768
[11] https://twitter.com/nhsmillion/status/1248896514258276358
[9] https://twitter.com/dhscgovuk/status/1220333904923635720?s=21
[7] https://twitter.com/NHSMillion/status/1248896514258276358
[4] https://twitter.com/NHSMillion/status/1248929179980255232
[2] https://www.eficiens.com/coronavirus-statistiques/
[2] https://twitter.com/femi_sorry/status/1248912068364963841
[2] https://twitter.com/nhsmillion/status/1248967670327902216
[2] https://twitter.com/implausibleblog/status/1248968922260475904

Top URLs in Tweet in G3:
[95] https://twitter.com/nhsmillion/status/1248896514258276358
[48] https://twitter.com/NHSMillion/status/1248896514258276358
[5] https://twitter.com/NHSMillion/status/1248929179980255232
[3] https://twitter.com/NHSMillion/status/1248847981840928768
[3] https://twitter.com/paratruthuk/status/1247502163930157065
[2] https://twitter.com/NHSMillion/status/1248967670327902216
[2] https://twitter.com/nhsmillion/status/1248847981840928768
[1] https://twitter.com/nhsmillion/status/1248967670327902216
[1] https://www.rainbowholidaytrust.co.uk/
[1] https://twitter.com/RoyLilley/status/1248955488433254402

Top URLs in Tweet in G4:
[3] https://twitter.com/NHSMillion/status/1248896514258276358
[3] https://www.youtube.com/watch?v=mq8LCOyIIa4&feature=youtu.be

[3] https://twitter.com/nhsmillion/status/1248896514258276358
[2] https://twitter.com/vtkidschoir/status/1248966998492577794
[2] https://www.youtube.com/watch?v=egT92iWo09Q&feature=youtu.be

[2] https://www.youtube.com/watch?v=kBJSAuhMnqw&feature=youtu.be

[2] https://nypost.com/2020/04/09/pop-artist-creates-digital-mosaic-of-coronavirus-workers/
[1] https://twitter.com/keepnhspublic/status/1197656801619185664
[1] https://www.opendemocracy.net/en/opendemocracyuk/why-are-third-uk-covid-19-patients-ethnic-minority/
[1] https://twitter.com/VTKidsChoir/status/1248966998492577794

Top URLs in Tweet in G5:
[89] https://twitter.com/nhsmillion/status/1248896514258276358
[70] https://twitter.com/NHSMillion/status/1248896514258276358
[53] https://twitter.com/NHSMillion/status/1248847981840928768
[49] https://twitter.com/nhsmillion/status/1248847981840928768
[13] https://twitter.com/NHSMillion/status/1248929179980255232
[13] https://twitter.com/nhsmillion/status/1248967670327902216
[13] https://twitter.com/NHSMillion/status/1248967670327902216
[8] https://twitter.com/nhsmillion/status/1248929179980255232
[5] https://twitter.com/NHSMillion/status/1248924229929709569
[4] https://twitter.com/nhsmillion/status/1241318015356080128

Top URLs in Tweet in G6:
[15] https://twitter.com/NHSMillion/status/1248896514258276358
[6] https://www.change.org/p/boris-johnson-make-june-1st-nhs-day-and-give-nhs-staff-1k-bonus?utm_source=share_petition&utm_medium=custom_url&recruited_by_id=bcc66220-973b-11e4-ab7c-57f3f9c0611b
[3] https://twitter.com/Trevor_Ede78/status/1248966068149895169
[2] https://www.youtube.com/watch?feature=youtu.be&v=xf-qv9o8nq8&fbclid=IwAR3zbFBxRR5_63rBzAo499l2FFpaaKkIW7WD8f9Bx8Vj9LAPLnYlmEYrVxY&app=desktop
[1] https://www.dailymail.co.uk/femail/article-8139549/NHS-workers-share-exhausted-selfies-showing-bruised-faces-long-shifts.html
[1] https://www.independent.co.uk/sport/football/premier-league/premier-league-tax-2016-17-economy-ey-a8744661.html
[1] https://www.theguardian.com/commentisfree/2019/dec/10/doctor-johnson-thousands-deaths-nhs-patient
[1] https://twitter.com/YannisGourtso/status/1249015320104353792
[1] https://twitter.com/NHSMillion/status/1248847981840928768
[1] https://twitter.com/NHSMillion/status/1248929179980255232

Top URLs in Tweet in G7:
[1] https://twitter.com/fernie0207/status/1248969199403380738

Top URLs in Tweet in G8:
[1] https://twitter.com/ottilieq/status/1249023726835961856
[1] https://twitter.com/nhsmillion/status/1248896514258276358

Top URLs in Tweet in G9:
[1] https://twitter.com/NHSMillion/status/1248847981840928768
[1] https://twitter.com/NHSMillion/status/1248929179980255232

Top Domains
Top Domains in Tweet in Entire Graph:
[939] twitter.com
[17] youtube.com
[11] co.uk
[10] change.org
[5] theguardian.com
[4] instagram.com
[4] justgiving.com
[3] parliament.uk
[2] eficiens.com
[2] square.site

Top Domains in Tweet in G1:
[72] twitter.com
[5] co.uk
[3] youtube.com
[1] instagram.com
[1] tweetedtimes.com
[1] square.site
[1] theguardian.com
[1] bmj.com
[1] sciencemag.org
[1] who.int

Top Domains in Tweet in G2:
[147] twitter.com
[3] youtube.com
[2] eficiens.com
[2] change.org
[2] gov.uk
[1] justgiving.com
[1] co.uk
[1] reuters.com
[1] org.uk
[1] thecpdiary.com

Top Domains in Tweet in G3:
[164] twitter.com
[1] co.uk

Top Domains in Tweet in G4:
[32] twitter.com
[8] youtube.com
[2] justgiving.com
[2] nypost.com
[1] opendemocracy.net
[1] medium.com
[1] mercht.com
[1] gofundme.com

Top Domains in Tweet in G5:
[341] twitter.com
[1] instagram.com

Top Domains in Tweet in G6:
[22] twitter.com
[7] change.org
[2] co.uk
[2] youtube.com
[1] theguardian.com

Top Domains in Tweet in G7:
[1] twitter.com

Top Domains in Tweet in G8:
[2] twitter.com

Top Domains in Tweet in G9:
[2] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[101] nhs
[75] nhsheroes
[39] nhsthankyou
[38] ppe
[33] devon
[28] covid19
[24] coronavirus
[23] stayhome
[18] stayhomesavelives
[17] covidー19



Top Hashtags in Tweet in G1:
[8] nhsheroes
[7] stayhome
[7] nhs
[6] nhsmillion
[5] stayhomesavelives
[5] stayhomesavelifes
[4] nhscovidheroes
[4] coronavirus
[3] ppe
[3] covid19

Top Hashtags in Tweet in G2:
[31] nhs
[20] ppe
[11] covid19
[10] boristhebutcher
[7] covidー19
[6] simonstevens
[6] frontlineheroes
[6] coronavirus
[6] ppefornhs
[6] nhsheroes

Top Hashtags in Tweet in G3:
[3] nhs
[3] covid19
[3] stayhomesavelives
[2] stayhomesavelifes
[1] coronavirus
[1] stayhome
[1] nhsmillion
[1] nurses
[1] doctors
[1] pathology

Top Hashtags in Tweet in G4:
[33] devon
[12] nhs
[8] coronavirus
[7] nhsheroes
[6] angels
[6] ppe
[5] nhsthankyou
[4] keyworkers
[4] stayhomesavelives
[4] tomorrowwillbeagoodday

Top Hashtags in Tweet in G5:
[24] nhsheroes
[12] nhs
[7] nhsmillion
[7] nhsthankyou
[5] stayhomesavelifes
[4] covid19uk
[4] stayathome
[3] stayhome
[3] covid19
[3] nhscovidheroes

Top Hashtags in Tweet in G6:
[14] nhsheroes
[10] nhsthankyou
[2] supportnursesandmidwives
[2] worldhealthday
[1] bekindtoeachother
[1] nhs
[1] covid19
[1] gove
[1] isolationstyle
[1] grateful

Top Hashtags in Tweet in G7:
[1] oneteam
[1] nhsheroes
[1] uclh
[1] nhsthankyou

Top Hashtags in Tweet in G8:
[2] mallorca312
[2] worldhealthday
[2] covid19
[1] kidneydonation
[1] nhsheroes
[1] nhs
[1] lovethenhs
[1] protectthenhs
[1] protectthevulnerable

Top Hashtags in Tweet in G9:
[4] coviddeaths
[3] covid19uk
[1] wewillrememberthem
[1] ppenow

Top Words
Top Words in Tweet in Entire Graph:
[45165] Words in Sentiment List#1: Positive
[4522] Words in Sentiment List#2: Negative
[16] Words in Sentiment List#3: Angry/Violent
[606868] Non-categorized Words
[656555] Total Words
[26134] help
[14215] staff
[14020] nhs
[13309] lives
[13271] everyone

Top Words in Tweet in G1:
[24666] help
[12544] nhs
[12406] seconds
[12405] take
[12333] staff
[12287] everyone
[12258] million
[12252] right
[12249] lives
[12240] grateful

Top Words in Tweet in G2:
[1656] matthancock
[1572] nhsmillion
[1558] actually
[1540] anyway
[1220] staff
[1033] ppe
[823] know
[812] don
[808] frontline
[789] way

Top Words in Tweet in G3:
[643] follow
[521] think
[496] support
[479] lives
[471] nhs
[468] help
[440] retweet
[433] everyone
[325] don
[325] face

Top Words in Tweet in G4:
[334] nhsmillion
[123] nhsuk
[83] nhs
[66] budleigh
[62] help
[60] keepnhspublic
[60] thank
[56] bestforbritain
[54] doctor_oxford
[52] share

Top Words in Tweet in G5:
[43] nhs
[24] #nhsheroes
[22] ppe
[22] please
[21] staff
[21] thank
[21] follow
[16] heroes
[15] blame
[15] government

Top Words in Tweet in G6:
[254] nhsmillion
[180] nhs
[155] help
[129] lives
[128] save
[101] everyone
[97] take
[90] million
[89] right
[87] staff

Top Words in Tweet in G7:
[34] nhsmillion
[33] uclh
[29] melanietandr
[29] ch323
[29] bbcferguswalsh
[28] rabinatindale
[28] vsweeney431
[28] ramen91528506
[28] helenbevan
[25] behind

Top Words in Tweet in G8:
[8] nhsmillion
[6] nhs
[4] legend
[4] nhsorgandonor
[4] staff
[4] newcastlehosps
[3] raise
[3] geraintthomas86
[3] teamineos
[3] day

Top Words in Tweet in G9:
[68] staff
[28] nhsmillion
[27] nhs
[23] cleaners
[23] carers
[23] supermarket
[23] #covid19uk
[23] #coviddeaths
[22] teachers
[22] busdrivers

Top Words in Tweet in G10:
[2] lorrainefitzsim
[2] oconnoroisin
[2] cyclistie
[2] berniesanders
[2] irishcycle
[2] neasa_neasa
[2] elisaodonovan
[2] akldesignchamp
[2] pjrudden
[2] aliceeire

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[13123] nhs,staff
[12950] save,lives
[12921] grateful,nhs
[12913] reach,million
[12913] help,save
[12912] everyone,grateful
[12912] staff,right
[12911] right,followed
[12911] followed,retweeted
[12911] retweeted,reach

Top Word Pairs in Tweet in G1:
[12325] nhs,staff
[12238] grateful,nhs
[12233] everyone,grateful
[12233] staff,right
[12233] save,lives
[12232] right,followed
[12232] followed,retweeted
[12232] retweeted,reach
[12232] reach,million
[12232] million,midnight

Top Word Pairs in Tweet in G2:
[1311] nhsmillion,matthancock
[789] frontline,staff
[778] matthancock,don
[771] overuse,ppe
[770] don,actually
[770] actually,know
[770] know,way
[770] way,frontline
[770] staff,overuse
[770] ppe,anyway

Top Word Pairs in Tweet in G3:
[439] follow,retweet
[439] retweet,support
[259] small,minority
[258] minority,don
[258] don,think
[258] think,rules
[258] rules,apply
[258] apply,believe
[258] believe,re
[258] re,invincible

Top Word Pairs in Tweet in G4:
[52] nhsmillion,keepnhspublic
[40] nhsmillion,butnhs
[36] the3million,doctor_oxford
[36] doctor_oxford,thatginamiller
[36] thatginamiller,bestforbritain
[36] bestforbritain,nhsmillion
[36] butnhs,wenurses
[36] wenurses,teamcno_
[36] teamcno_,nhse_paul
[36] nhse_paul,cnoengland

Top Word Pairs in Tweet in G5:
[8] nhs,staff
[8] stay,home
[5] matt,hancock
[5] follow,retweet
[5] please,follow
[4] nhs,workers
[4] god,bless
[4] support,nhs
[3] heroes,wear
[3] working,nhs

Top Word Pairs in Tweet in G6:
[101] save,lives
[79] nhs,staff
[77] grateful,nhs
[76] everyone,grateful
[76] staff,right
[76] right,followed
[76] followed,retweeted
[76] retweeted,reach
[76] reach,million
[76] million,midnight

Top Word Pairs in Tweet in G7:
[28] melanietandr,ch323
[28] ch323,rabinatindale
[28] rabinatindale,vsweeney431
[28] vsweeney431,ramen91528506
[28] ramen91528506,nhsmillion
[28] nhsmillion,bbcferguswalsh
[28] bbcferguswalsh,helenbevan
[24] critical,care
[23] few,very
[23] very,lovely

Top Word Pairs in Tweet in G8:
[3] nhsuk,nhsmillion
[3] nhs,staff
[2] logiebear111,completing
[2] completing,#mallorca312
[2] #mallorca312,13hrs
[2] 13hrs,mid
[2] mid,august
[2] august,temp
[2] temp,av
[2] av,28degrees

Top Word Pairs in Tweet in G9:
[24] nhs,staff
[23] supermarket,staff
[21] curious,low
[20] nhsmillion,28
[20] 28,nhs
[20] staff,deaths
[20] deaths,nurses
[20] nurses,numbers
[20] numbers,ancillary
[20] ancillary,staff

Top Word Pairs in Tweet in G10:
[2] lorrainefitzsim,oconnoroisin
[2] oconnoroisin,cyclistie
[2] cyclistie,berniesanders
[2] berniesanders,irishcycle
[2] irishcycle,neasa_neasa
[2] neasa_neasa,elisaodonovan
[2] elisaodonovan,akldesignchamp
[2] akldesignchamp,pjrudden
[2] pjrudden,aliceeire
[2] aliceeire,ifpedestrians

Top Replied-To
Top Replied-To in Entire Graph:
@nhsmillion
@shinybluedress
@matthancock
@roaringnurse
@oneshotwizard
@luvzi12
@vtkidschoir
@watchmenresort
@fgway1
@cirkus37

Top Replied-To in G1:
@nhsmillion

Top Replied-To in G2:
@nhsmillion
@shinybluedress
@matthancock
@watchmenresort
@fgway1
@billbates01
@etxberria55
@nicolelinsey
@bluenileman53
@ppzpag

Top Replied-To in G3:
@nhsmillion
@cirkus37
@lucybhome
@arabforlife83
@katcassard
@bpafc
@de_prudhoe
@eldsusan
@arunbaksi
@themenfromugly

Top Replied-To in G4:
@roaringnurse
@nhsmillion
@vtkidschoir
@adshill
@hannahcac79
@alisonf76482334
@maximiliansdf
@cjswannphe
@sally_lindsay
@ayeshaijazkhan

Top Replied-To in G6:
@nhsmillion
@oneshotwizard
@luvzi12
@raymoran001
@trevor_ede78
@drwaheedarian
@jogon14362437
@sgn1966
@melaniedesmith
@margaretverney

Top Replied-To in G7:
@fernie0207
@optotoxical
@nhsmillion

Top Replied-To in G8:
@geraintthomas86
@ottilieq
@matthancock

Top Replied-To in G9:
@nhsmillion
@patwaprofessa
@stnazaire42

Top Replied-To in G10:
@glennlyons2
@lorrainefitzsim

Top Mentioned
Top Mentioned in Entire Graph:
@matthancock
@nhsmillion
@nhsuk
@keepnhspublic
@cnoengland
@doctor_oxford
@bestforbritain
@nhsengland
@bbcnews
@wenurses

Top Mentioned in G1:
@nhsmillion
@1minute_silence

Top Mentioned in G2:
@matthancock
@nhsmillion
@bbcnews
@nhsengland
@skynews
@shinybluedress
@borisjohnson
@keir_starmer
@cnoengland
@nicolelinsey

Top Mentioned in G3:
@matthancock
@nhsmillion
@nhsuk
@mkhospital
@mathancock
@thercn
@paratruthuk
@cirkus37
@paragsinghal09
@bma_juniordocs

Top Mentioned in G4:
@nhsmillion
@nhsuk
@keepnhspublic
@bestforbritain
@doctor_oxford
@robbiewilliams
@wenurses
@butnhs
@teamcno_
@the3million

Top Mentioned in G6:
@nhsmillion
@oneminutebriefs
@crosto85
@josie_rei
@slowmart
@who
@jogon14362437
@danielbayley80
@trevor_ede78
@luvzi12

Top Mentioned in G7:
@uclh
@nhsmillion
@melanietandr
@ch323
@bbcferguswalsh
@rabinatindale
@vsweeney431
@ramen91528506
@helenbevan

Top Mentioned in G8:
@nhsmillion
@nhsorgandonor
@newcastlehosps
@teamineos
@nhsuk
@logiebear111
@kidney_research
@fhlta
@htf_uk
@geraintthomas86

Top Mentioned in G9:
@nhsmillion
@nhsuk

Top Mentioned in G10:
@oconnoroisin
@cyclistie
@berniesanders
@irishcycle
@neasa_neasa
@elisaodonovan
@akldesignchamp
@pjrudden
@aliceeire
@ifpedestrians

Top Tweeters
Top Tweeters in Entire Graph:
@virginmedia
@mrdjones
@tesco
@ee
@british_airways
@s9tmt
@angelamortimer2
@roblwilson
@sainsburys
@debdarkpetal

Top Tweeters in G1:
@mrdjones
@jbboats
@johnjoechad
@gr8musicvenues
@tayyaba__94
@aaronrutter9
@bparlma
@davidjewood
@ollieglanvill
@coderedshell

Top Tweeters in G2:
@guardian
@mckinlay_liz
@nursefriendly
@bbcnews
@skynews
@telegraph
@shirleymcbrinn
@chunkymark
@serengetisun
@sunnyclaribel

Top Tweeters in G3:
@roblwilson
@oatcake1967
@bettyjo62
@mrs_coyle
@mstkindeed
@margymayell
@skuemy
@samljpage
@hausofrushdi
@patinkent

Top Tweeters in G4:
@angelamortimer2
@daily_express
@thesun
@thestephenralph
@socialistvoice
@las2950
@downatthepound
@benefits_news
@dawnroseturner
@paul_trembath

Top Tweeters in G5:
@debdarkpetal
@littlemore20
@hardistymark
@b12snp
@itsvictoriaxx
@jack_usa10
@joonloons
@theeaglecanfly
@earnmoreeasy
@hazygray

Top Tweeters in G6:
@leocullen4
@marinar9801
@tartancobweb
@paul42980402
@mariagreenie
@oneminutebriefs
@rcpwells
@celestinogutirr
@dissentra
@ann_marcial

Top Tweeters in G7:
@drumeshprabhu
@mylesie
@procartoonists
@swiffyc
@hollia11
@tobyhillman
@helenbevan
@letterboxlib
@madmikey39
@acserrao76

Top Tweeters in G8:
@ottilieq
@teamineos
@nhsorgandonor
@southtees
@ncicnhs
@hearts_matteruk
@kidney_research
@northumbrianhs
@htf_uk
@tewv

Top Tweeters in G9:
@gracemurphy2
@ddlabour
@candybrazao
@redfonehen
@baby_nabii
@kiausharqreeves
@richbeahan
@equilibria
@jimjam255
@justiceuk3back

Top Tweeters in G10:
@euanmccolm
@marieannuk
@irishcycle
@cyclistie
@pjrudden
@ifpedestrians
@berniesanders
@akldesignchamp
@oconnoroisin
@elisaodonovan


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