NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

#ddj OR (data journalism)_2020-04-13_01-17-24.xlsx (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
Connected Action NodeXL-Reports
Uploaded on:
April 13, 2020
Short Description:
#ddj OR (data journalism) via NodeXL https://bit.ly/2XD7iPw
@gijn
@_twitwork
@nytimes
@jburnmurdoch
@washingtonpost
@megan_otoole
@gijnru
@kingsjournalism
@albertocairo
@habeebinamdar

Top hashtags:
#ddj
#covid__19
#covid19
#coronavirus
#dataviz
#journalism
#corona

Description:
Description
The graph represents a network of 3,377 Twitter users whose tweets in the requested range contained "#ddj OR (data journalism)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 April 2020 at 08:18 UTC.

The requested date range was from Monday, 06 April 2020 at 00:00 UTC through Monday, 13 April 2020 at 00:00 UTC.

The tweets in the network were tweeted over the 6-day, 14-hour, 55-minute period from Monday, 06 April 2020 at 00:00 UTC to Sunday, 12 April 2020 at 14:55 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 : 3377
Unique Edges : 3923
Edges With Duplicates : 723
Total Edges : 4646
Number of Edge Types : 4
MentionsInRetweet : 2716
Tweet : 361
Mentions : 1275
Replies to : 294
Self-Loops : 361
Reciprocated Vertex Pair Ratio : 0.015645371577575
Reciprocated Edge Ratio : 0.030808729139923
Connected Components : 495
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 1012
Maximum Edges in a Connected Component : 1879
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.389756
Graph Density : 0.000341644130141591
Modularity : 0.81302
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 3,377 Twitter users whose tweets in the requested range contained "#ddj OR (data journalism)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 April 2020 at 08:18 UTC.

The requested date range was from Monday, 06 April 2020 at 00:00 UTC through Monday, 13 April 2020 at 00:00 UTC.

The tweets in the network were tweeted over the 6-day, 14-hour, 55-minute period from Monday, 06 April 2020 at 00:00 UTC to Sunday, 12 April 2020 at 14:55 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 : #ddj OR (data journalism)
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:
[33] https://gijn.org/2020/04/09/data-journalism-top-10-stayathome-by-income-spanish-flu-african-americans-flattening-the-covid-curve/
[24] https://www.pressgazette.co.uk/times-ft-and-wapo-discover-real-appetite-for-data-driven-visual-journalism-on-coronavirus/
[11] http://www.thefunctionalart.com/2020/04/interview-in-effective-statistician.html
[11] http://medyafobi.com/ayna/599-salg-n-n-oegrettigi-10-iletisim-kural
[9] http://www.verigazeteciligi.com/covid-19-acik-arastirma-veri-seti/
[8] https://www.williamrchase.com/post/why-i-m-not-making-covid19-visualizations-and-why-you-probably-shouldn-t-either/#who-should-visualize-covid19-data
[8] https://flowingdata.com/2020/04/09/slowing-down-the-rate-of-deaths-aka-breaking-the-wave/
[8] https://www.journaliststoolbox.org/2020/02/15/maps_and_map_searches/
[8] https://interaktiv.morgenpost.de/corona-deutschland-intensiv-betten-monitor-krankenhaus-auslastung/
[8] https://www.kcrg.com/content/news/HIPPA-overused-to-hide-key-COVID-19-data-Iowa-journalism-group-claims-569450781.html

Top URLs in Tweet in G1:
[29] https://gijn.org/2020/04/09/data-journalism-top-10-stayathome-by-income-spanish-flu-african-americans-flattening-the-covid-curve/
[11] http://medyafobi.com/ayna/599-salg-n-n-oegrettigi-10-iletisim-kural
[9] http://www.verigazeteciligi.com/covid-19-acik-arastirma-veri-seti/
[8] https://flowingdata.com/2020/04/09/slowing-down-the-rate-of-deaths-aka-breaking-the-wave/
[8] https://www.williamrchase.com/post/why-i-m-not-making-covid19-visualizations-and-why-you-probably-shouldn-t-either/#who-should-visualize-covid19-data
[7] https://www.journaliststoolbox.org/2020/02/15/maps_and_map_searches/
[6] http://www.datastories.pk/coronavirus-analysis/
[6] https://flowingdata.com/2020/04/09/how-to-sew-a-mask-with-a-template/
[5] https://mailchi.mp/gijn/wednesday-april-8-gijn-webinar-resilience-reporting-staying-safe?e=abb4c7c19b
[5] https://flowingdata.com/2020/04/08/diy-masks-balancing-filtration-and-breathability/

Top URLs in Tweet in G3:
[3] https://twitter.com/EscolaDeDados/status/1247947316822065152
[2] https://twitter.com/tayloregills/status/1248234614159745024
[1] https://twitter.com/i/web/status/1246956184571129857
[1] https://twitter.com/i/web/status/1248652348001529857
[1] https://twitter.com/i/web/status/1249331823957680130
[1] https://twitter.com/i/web/status/1249316725155340290
[1] https://www.linkedin.com/slink?code=dTZvMgZ
[1] https://twitter.com/i/web/status/1249090286468370433
[1] https://twitter.com/i/web/status/1249087378389700620
[1] https://twitter.com/i/web/status/1249087622628196354

Top URLs in Tweet in G4:
[19] https://www.pressgazette.co.uk/times-ft-and-wapo-discover-real-appetite-for-data-driven-visual-journalism-on-coronavirus/
[1] https://www.meetup.com/DataWorks
[1] https://twitter.com/pressgazette/status/1201814584539172864
[1] https://surveys.ns-mediagroup.com/s3/PressGazette-Survey
[1] https://ft.trib.al/N4CUk2o
[1] https://ig.ft.com/uber-game/
[1] https://pressgazette.co.uk/times-ft-and-wapo-discover-real-appetite-for-data-driven-visual-journalism-on-coronavirus/
[1] https://twitter.com/janinegibson/status/1244519429825802240

Top URLs in Tweet in G5:
[5] https://www.pressgazette.co.uk/times-ft-and-wapo-discover-real-appetite-for-data-driven-visual-journalism-on-coronavirus/
[4] http://efarmnewsar.com/2020-02-26/agtrace-the-software-that-helps-with-food-traceability.html?utm_source=NoticiasDeCampo&utm_medium=twitter
[2] https://www.theguardian.com/world/ng-interactive/2020/apr/09/how-coronavirus-spread-across-the-globe-visualised
[2] https://gijn.org/2020/04/09/data-journalism-top-10-stayathome-by-income-spanish-flu-african-americans-flattening-the-covid-curve/
[2] https://www.journalism.co.uk/tip-of-the-day/tip-use-up-to-date-and-reliable-covid-19-data/s419/a754268/?utm_source=dlvr.it&utm_medium=twitter
[2] https://www.kcrg.com/content/news/HIPPA-overused-to-hide-key-COVID-19-data-Iowa-journalism-group-claims-569450781.html
[2] https://twitter.com/steak_umm/status/1247343900475490304
[2] http://efarmnewsar.com/2020-02-11/efarmnewsar-summary-2019-taxes.html
[2] http://efarmnewsar.com/categoria/agpedia
[1] https://twitter.com/rahulkanwal/status/1248924182810734593

Top URLs in Tweet in G6:
[1] http://www.mediacrooks.com/2010/03/servantile-journalism-ndtv-style.html
[1] https://twitter.com/bhavna2716/status/1248827002242523136
[1] https://twitter.com/sardesairajdeep/status/1247558901731667968
[1] https://twitter.com/sardesairajdeep/status/1248131535598837760

Top URLs in Tweet in G7:
[1] https://twitter.com/nickjudin/status/1247904738596638721

Top URLs in Tweet in G8:
[7] https://interaktiv.morgenpost.de/corona-deutschland-intensiv-betten-monitor-krankenhaus-auslastung/
[3] https://www.stuttgarter-zeitung.de/inhalt.coronavirus-in-baden-wuerttemberg-zahl-der-aktuell-infizierten-sinkt-erstmals.c00cd937-b599-4eff-b4e6-2dfc7a5fe5b2.html
[2] https://interaktiv.morgenpost.de/corona-virus-karte-infektionen-deutschland-weltweit/
[2] https://medium.com/@lorz/zum-umgang-mit-der-unklaren-datenlage-beim-coronavirus-e2de746d4017
[1] https://www.destatis.de/DE/Themen/Querschnitt/Corona/_inhalt.html
[1] https://www.stuttgarter-zeitung.de/inhalt.coronavirus-in-baden-wuerttemberg-corona-infektionen-in-baden-wuerttemberg-der-aktuelle-stand.0130b4e9-5415-4ec7-b094-1edb07f7e2f8.html
[1] https://datawrapper.dwcdn.net/suWhh/15/
[1] https://www.stuttgarter-zeitung.de/inhalt.coronavirus-in-baden-wuerttemberg-wer-ist-der-typische-corona-patient.1c607343-efad-411b-a38f-1c5ffada5139.html?reduced=true
[1] https://www.stuttgarter-zeitung.de/inhalt.corona-in-zahlen-durchblick-im-datendschungel.3d5cc4bb-212d-4816-9599-0ec8ed0dd097.html?reduced=true
[1] https://www.funkemedien.de/de/presse/medienmitteilungen/news/Coronavirus-Monitor-der-FUNKE-Zentralredaktion-erreicht-mehr-als-100-Millionen-Visits/

Top URLs in Tweet in G9:
[10] http://www.thefunctionalart.com/2020/04/interview-in-effective-statistician.html
[4] http://www.thefunctionalart.com/2020/01/all-graphics-from-how-charts-lie-freely.html
[4] https://www.ft.com/coronavirus-latest
[1] http://www.thefunctionalart.com/2020/03/the-most-read-story-ever-published-by.html
[1] http://www.thefunctionalart.com/2019/10/how-charts-lie-few-corrections.html
[1] https://www.ft.com/content/ea1563e8-725f-11ea-ad98-044200cb277f

Top URLs in Tweet in G10:
[1] https://twitter.com/GwynneFitz/status/1247472844549828608
[1] https://twitter.com/Chris_arnade/status/1248976490387189761
[1] https://twitter.com/matthewstoller/status/1249023878409707520

Top Domains
Top Domains in Tweet in Entire Graph:
[230] twitter.com
[48] gijn.org
[44] co.uk
[21] medium.com
[19] flowingdata.com
[19] nytimes.com
[18] thefunctionalart.com
[14] verigazeteciligi.com
[11] youtube.com
[11] medyafobi.com

Top Domains in Tweet in G1:
[42] gijn.org
[19] flowingdata.com
[14] verigazeteciligi.com
[11] medyafobi.com
[10] twitter.com
[8] williamrchase.com
[7] nytimes.com
[7] journaliststoolbox.org
[6] datastories.pk
[6] mailchi.mp

Top Domains in Tweet in G3:
[112] twitter.com
[1] linkedin.com
[1] ponte.org
[1] escoladedados.org

Top Domains in Tweet in G4:
[20] co.uk
[2] twitter.com
[1] meetup.com
[1] ns-mediagroup.com
[1] trib.al
[1] ft.com

Top Domains in Tweet in G5:
[29] twitter.com
[12] co.uk
[8] efarmnewsar.com
[4] instagram.com
[3] theguardian.com
[3] nytimes.com
[2] wordpress.com
[2] blogspot.com
[2] gijn.org
[2] washingtonpost.com

Top Domains in Tweet in G6:
[3] twitter.com
[1] mediacrooks.com

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

Top Domains in Tweet in G8:
[9] morgenpost.de
[6] stuttgarter-zeitung.de
[2] medium.com
[1] destatis.de
[1] dwcdn.net
[1] funkemedien.de
[1] rki.de
[1] figma.com
[1] co.uk
[1] google.com

Top Domains in Tweet in G9:
[16] thefunctionalart.com
[5] ft.com

Top Domains in Tweet in G10:
[3] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[648] ddj
[256] covid__19
[169] covid19
[126] coronavirus
[104] dataviz
[65] journalism
[61] corona
[44] data
[33] datajournalism
[26] jea



Top Hashtags in Tweet in G1:
[185] ddj
[62] dataviz
[47] covid19
[39] coronavirus
[26] jea
[22] koronavirüs
[22] veribülteni
[17] datajournalism
[16] journalism
[14] verigazeteciliği

Top Hashtags in Tweet in G2:
[227] covid__19
[3] thoorahulkanwalthoo

Top Hashtags in Tweet in G3:
[286] ddj
[3] dadosdapandemiajá
[2] trans
[1] codabr19
[1] todososolhosnaamazônia
[1] diadojornalista
[1] rodaviva
[1] books
[1] quarantine
[1] academicchatter

Top Hashtags in Tweet in G5:
[19] journalism
[19] ddj
[10] data
[6] dj
[6] pioneer
[5] covid19
[4] pioneerdj
[3] information
[3] news
[3] djlife

Top Hashtags in Tweet in G6:
[26] covid__19
[1] disgustingjournalist
[1] barcindia
[1] trp
[1] thoorahulkanwalthoo

Top Hashtags in Tweet in G8:
[27] ddj
[21] corona
[15] covid19
[13] coronavirus
[6] covid19de
[6] dataviz
[3] ddjbw
[2] covidー19
[1] coronalockdown
[1] opendata

Top Hashtags in Tweet in G9:
[10] ddj
[9] dataviz
[6] coronavirus
[3] infographics
[2] streamgraph
[1] datajournalism
[1] corona

Top Words
Top Words in Tweet in Entire Graph:
[1975] Words in Sentiment List#1: Positive
[1521] Words in Sentiment List#2: Negative
[34] Words in Sentiment List#3: Angry/Violent
[69994] Non-categorized Words
[73490] Total Words
[1779] data
[1492] journalism
[648] #ddj
[312] em
[282] dou

Top Words in Tweet in G1:
[185] #ddj
[106] gijn
[96] data
[76] veri
[70] 10
[66] journalism
[62] #dataviz
[62] pinardag
[55] ve
[47] #covid19

Top Words in Tweet in G2:
[230] uses
[227] stop
[227] targeting
[227] indian
[227] muslims
[227] rahul
[227] kanwal
[227] blot
[227] journalism
[227] first

Top Words in Tweet in G3:
[304] em
[286] #ddj
[282] dou
[105] dados
[100] jornalismo
[95] jornalismodados
[94] os
[56] pq
[46] livros
[41] são

Top Words in Tweet in G4:
[119] ft
[117] coronavirus
[100] jburnmurdoch
[96] ft's
[94] hear
[94] tracker
[94] evolved
[94] making
[94] key
[94] pieces

Top Words in Tweet in G5:
[116] data
[105] journalism
[25] covid
[21] 19
[19] #journalism
[19] #ddj
[14] coronavirus
[11] local
[11] news
[10] #data

Top Words in Tweet in G6:
[55] data
[51] journalism
[34] rahulkanwal
[27] stop
[27] uses
[26] targeting
[26] indian
[26] muslims
[26] blot
[26] first

Top Words in Tweet in G7:
[83] needed
[83] good
[83] reason
[83] support
[83] local
[83] journalism
[83] look
[83] below
[83] mississippi
[83] journalists

Top Words in Tweet in G8:
[110] die
[39] monitor
[31] intensivstationen
[30] patient
[30] ausgelastet
[28] zeigt
[27] #ddj
[26] datentaeterin
[26] funkeinteraktiv
[25] corona

Top Words in Tweet in G9:
[49] free
[46] sdbernard
[44] streamgraph
[35] uk
[31] read
[29] charts
[29] tracker
[28] financialtimes
[28] virus
[26] column

Top Words in Tweet in G10:
[55] data
[55] journalism
[37] pandemic
[36] matthewstoller
[36] agree
[36] think
[36] revealed
[36] worst
[36] technocracy
[36] america

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[482] data,journalism
[281] dou,em
[281] em,#ddj
[253] stop,targeting
[253] targeting,indian
[253] indian,muslims
[253] blot,journalism
[253] journalism,first
[253] first,uses
[253] uses,scull

Top Word Pairs in Tweet in G1:
[50] 10,#ddj
[42] top,10
[32] social,distancing
[30] #ddj,#dataviz
[29] covid,19
[26] hey,#jea
[26] #jea,nytimes
[26] nytimes,access
[26] access,students
[26] students,teachers

Top Word Pairs in Tweet in G2:
[227] stop,targeting
[227] targeting,indian
[227] indian,muslims
[227] muslims,rahul
[227] rahul,kanwal
[227] kanwal,blot
[227] blot,journalism
[227] journalism,first
[227] first,uses
[227] uses,scull

Top Word Pairs in Tweet in G3:
[281] dou,em
[281] em,#ddj
[95] #ddj,jornalismodados
[95] jornalismodados,dou
[51] jornalismo,dados
[28] dez,livros
[28] livros,aprender
[28] willgomes,3º
[28] 3º,os
[28] os,envolvidos

Top Word Pairs in Tweet in G4:
[94] hear,ft's
[94] ft's,jburnmurdoch
[94] jburnmurdoch,coronavirus
[94] coronavirus,tracker
[94] tracker,evolved
[94] evolved,ft
[94] ft,making
[94] making,key
[94] key,pieces
[93] ftpressoffice,hear

Top Word Pairs in Tweet in G5:
[38] data,journalism
[20] covid,19
[7] investigative,journalism
[6] 19,data
[5] data,driven
[4] journalism,class
[4] #pioneer,#ddj
[4] #journalism,#data
[3] local,journalism
[3] top,10

Top Word Pairs in Tweet in G6:
[26] stop,targeting
[26] targeting,indian
[26] indian,muslims
[26] blot,journalism
[26] journalism,first
[26] first,uses
[26] uses,scull
[26] scull,cap
[26] cap,represent
[26] represent,#covid__19

Top Word Pairs in Tweet in G7:
[83] needed,good
[83] good,reason
[83] reason,support
[83] support,local
[83] local,journalism
[83] journalism,look
[83] look,below
[83] below,mississippi
[83] mississippi,journalists
[83] journalists,asking

Top Word Pairs in Tweet in G8:
[28] monitor,zeigt
[25] ausgelastet,intensivstationen
[25] intensivstationen,alle
[25] alle,betten
[25] betten,belegt
[25] belegt,welche
[25] welche,frei
[25] frei,viele
[24] datentaeterin,ausgelastet
[24] viele,patient

Top Word Pairs in Tweet in G9:
[28] free,read
[28] read,financialtimes
[28] financialtimes,virus
[28] virus,tracker
[25] addition,free
[25] tracker,streamgraph
[25] streamgraph,stacked
[25] stacked,column
[25] column,charts
[25] charts,showing

Top Word Pairs in Tweet in G10:
[55] data,journalism
[36] agree,think
[36] think,pandemic
[36] pandemic,revealed
[36] revealed,worst
[36] worst,data
[36] journalism,technocracy
[36] technocracy,america
[35] matthewstoller,agree
[15] crisis,lead

Top Replied-To
Top Replied-To in Entire Graph:
@rahulkanwal
@sardesairajdeep
@cnn
@nbcnews
@shekhargupta
@alexberenson
@nytimes
@sharon_kirkey
@realericcarmen
@bainjal

Top Replied-To in G1:
@nytimes
@mariapuntoes
@nicolergalloway
@lportnoy
@eugene_scott
@jagevans
@ngkabra
@jeremyscahill
@the_claus
@datajournalism

Top Replied-To in G3:
@ricardogod

Top Replied-To in G4:
@crimlawuk
@bjtc_uk
@ft

Top Replied-To in G6:
@rahulkanwal
@sardesairajdeep
@shekhargupta
@shailendrakmish
@vidyakrishnan
@republic
@kushalprajapati
@deepikabhardwaj
@atheistdharma

Top Replied-To in G8:
@datentaeterin

Top Mentioned
Top Mentioned in Entire Graph:
@habeebinamdar
@gijn
@jburnmurdoch
@ftpressoffice
@gbolognacl
@kansaratva
@pinardag
@jornalismodados
@nytimes
@sdbernard

Top Mentioned in G1:
@gijn
@pinardag
@nytimes
@voydorg
@nationaljea
@natgeo
@icijorg
@yasuomisawa
@washingtonpost
@medyafobi

Top Mentioned in G2:
@habeebinamdar
@abdurra78759526

Top Mentioned in G3:
@jornalismodados
@escoladedados
@willgomes
@ocafezinho
@fabricio_rebelo
@monicabergamo
@leandroruschel
@ijnetportugues
@cnnbrasil

Top Mentioned in G4:
@jburnmurdoch
@ftpressoffice
@pressgazette
@ft
@janebsinger
@garciaruiz
@washingtonpost
@christinezhang
@samjoiner

Top Mentioned in G5:
@indomengglobal

Top Mentioned in G6:
@rahulkanwal
@prannoyroyndtv
@rmcpost
@khan_nawab1
@indiatoday
@aajtak
@republic
@barcindia
@sardesairajdeep
@vikrantgupta73

Top Mentioned in G7:
@gbolognacl

Top Mentioned in G8:
@funkeinteraktiv
@datentaeterin
@lorz
@carsten_erdmann
@jangeorgplavec
@newreld
@datawrapper
@rki_de
@stz_news
@patrickstotz

Top Mentioned in G9:
@sdbernard
@financialtimes
@albertocairo
@datawrapper
@f_l_o_u_r_i_s_h
@bobhaslett
@gijn
@tomelliottnz
@storywithdata

Top Mentioned in G10:
@matthewstoller
@ddayen
@jon_townsend3
@thatcroatianguy

Top Tweeters
Top Tweeters in Entire Graph:
@odio_nao
@cloudwanderer3
@innovativehindu
@chidambara09
@aaroncuddeback
@nonvitaltooth
@cnnnews18
@chrisbrey1
@alexsandraponce
@watermelondriia

Top Tweeters in G1:
@sallyrmelb
@el_pais
@socolimeshot
@reuters
@_l17r_
@dominiquevanpee
@ranganaathan
@manson_marina
@nytimes
@sharerussharing

Top Tweeters in G2:
@waseemqadiri
@iammsk
@habiburrahmank5
@badshaass
@nnjjwwv
@forgod_sake
@javed60755315
@saleha__09
@peohkemboja
@alam_nuri

Top Tweeters in G3:
@odio_nao
@alexsandraponce
@g1
@folha
@thiagofc1982
@antroreality
@gazetadopovo
@roxmo
@kethpxtter
@redeglobo

Top Tweeters in G4:
@may_roma
@lopcute
@ft
@teajunkie1
@gwinniejones
@kam_ma_lay
@syawal
@pyramidhead76
@jeromepandell
@deityfree

Top Tweeters in G5:
@mediabot
@huishte
@muzaffar1969
@1147_001
@ctrappe
@themediamentor
@bilbocroft
@_countinstars_
@alexwitzleben
@_joseamaral

Top Tweeters in G6:
@innovativehindu
@indiatoday
@httweets
@barcindia
@timesnow
@aajtak
@nayanchandra
@republic
@rawkgbcia
@kachoomar

Top Tweeters in G7:
@bistycsross
@ken_crichlow
@dvanhook822
@maiworld51
@badgersbane
@trumpstertrash
@asthehospturns
@me_mccarron
@mikeelk
@prisonreformmvt

Top Tweeters in G8:
@stz_news
@stn_news
@dietherast
@kesseltv
@uedio
@christophkappes
@clslcsl
@robertharm
@botic
@wernert_man

Top Tweeters in G9:
@mckinlay_liz
@financialtimes
@elite99thc
@scunner666
@albertocairo
@shirleyayres
@guillaumerozier
@tse2935
@cat_n_bagpipes
@statemagister

Top Tweeters in G10:
@on_bender
@sg_calcio
@ddayen
@matthewstoller
@littlebirdsteph
@msresjudicata
@scottlawyer
@johncsmith88
@finchhaven
@stokesc_cs


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.