#ddj OR (data journalism), Twitter, 3/16/2020 5:19:45 PM, 223046


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#ddj OR (data journalism)_2020-03-16_09-48-13.xlsx
#ddj OR (data journalism)_2020-03-16_09-48-13.xlsx
From:
Connected Action NodeXL-Reports
Uploaded on:
March 16, 2020
Short Description:
#ddj OR (data journalism) via NodeXL http://bit.ly/3cY5XZ7
@sz
@albertocairo
@gijn
@c_endt
@gijnru
@jornalismodados
@remrow
@nataliamazotte
@aleszubajak
@paulbradshaw

Top hashtags:
#corona
#ddj
#dataviz
#infographics
#coronavirus
#covid19
#flattenthecurve
#covidー19

Description:
Description
The graph represents a network of 4,102 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, 16 March 2020 at 16:49 UTC.

The requested date range was from Monday, 09 March 2020 at 00:00 UTC through Monday, 16 March 2020 at 00:00 UTC.

The tweets in the network were tweeted over the 6-day, 23-hour, 12-minute period from Monday, 09 March 2020 at 00:41 UTC to Sunday, 15 March 2020 at 23:54 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 : 4102
Unique Edges : 4795
Edges With Duplicates : 898
Total Edges : 5693
Number of Edge Types : 4
MentionsInRetweet : 3931
Mentions : 1201
Replies to : 164
Tweet : 397
Self-Loops : 397
Reciprocated Vertex Pair Ratio : 0.013953488372093
Reciprocated Edge Ratio : 0.0275229357798165
Connected Components : 430
Single-Vertex Connected Components : 159
Maximum Vertices in a Connected Component : 2388
Maximum Edges in a Connected Component : 3470
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.485139
Graph Density : 0.000285097723248578
Modularity : 0.810129
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 4,102 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, 16 March 2020 at 16:49 UTC.

The requested date range was from Monday, 09 March 2020 at 00:00 UTC through Monday, 16 March 2020 at 00:00 UTC.

The tweets in the network were tweeted over the 6-day, 23-hour, 12-minute period from Monday, 09 March 2020 at 00:41 UTC to Sunday, 15 March 2020 at 23:54 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:
[161] http://www.thefunctionalart.com/2020/03/trump-sent-his-followers-signed-chart.html
[121] https://projekte.sueddeutsche.de/artikel/wissen/coronavirus-die-wucht-der-grossen-zahl-e575082/
[109] https://www.washingtonpost.com/graphics/2020/world/corona-simulator/
[34] http://www.thefunctionalart.com/2020/03/explaining-and-simulating-coronavirus.html
[33] http://www.thefunctionalart.com/2020/03/before-showing-any-data-explain-how.html
[31] https://gijn.org/2020/03/12/data-journalism-top-10-covid-19-data-viz-brazil-presidents-tweets-beach-erosion-indias-influencers-london-by-bike-syllabi/
[19] https://www.journalism.co.uk/news/data-crunching-weekly-formats-and-vertical-accounts-behind-the-telegraph-s-instagram-strategy/s2/a752648/
[12] http://www.verigazeteciligi.com/tarayici-araciligiyla-gelismis-veri-gazeteciligi/
[12] https://mailchi.mp/politics.ox.ac.uk/how-to-cover-coronavirus-female-top-editors?e=72fa512829
[12] https://blogs.lse.ac.uk/impactofsocialsciences/2020/03/12/the-covid-19-online-pivot-adapting-university-teaching-to-social-distancing/

Top URLs in Tweet in G1:
[4] https://projekte.sueddeutsche.de/artikel/politik/so-haben-wir-den-bundestag-ausgerechnet-e893391/
[4] https://projekte.sueddeutsche.de/artikel/wissen/coronavirus-die-wucht-der-grossen-zahl-e575082/
[1] https://projekte.sueddeutsche.de/artikel/politik/wie-der-bundestag-ueber-klimapolitik-spricht-e704090/
[1] https://projekte.sueddeutsche.de/artikel/wissen/coronavirus-die-wucht-der-grossen-zahl-e575082/?autologin=true

Top URLs in Tweet in G2:
[102] https://projekte.sueddeutsche.de/artikel/wissen/coronavirus-die-wucht-der-grossen-zahl-e575082/
[2] https://twitter.com/data_jackalope/status/1237090113508839426
[1] https://www.sueddeutsche.de/1.4844448
[1] http://www.sueddeutsche.de/wissen/coronavirus-zahlen-daten-1.4844448
[1] https://twitter.com/c_endt/status/1239269303385493506
[1] https://projekte.sueddeutsche.de/artikel/politik/wie-der-bundestag-ueber-klimapolitik-spricht-e704090/
[1] https://projekte.sueddeutsche.de/artikel/politik/bundestag-das-gehetzte-parlament-e953507/
[1] http://www.thefunctionalart.com/2020/03/before-showing-any-data-explain-how.html

Top URLs in Tweet in G3:
[157] http://www.thefunctionalart.com/2020/03/trump-sent-his-followers-signed-chart.html
[34] http://www.thefunctionalart.com/2020/03/explaining-and-simulating-coronavirus.html
[31] http://www.thefunctionalart.com/2020/03/before-showing-any-data-explain-how.html
[7] https://junkcharts.typepad.com/junk_charts/2020/03/proportions-and-rates-we-are-no-dupes.html
[4] https://com.miami.edu/profile/alberto-cairo/
[4] https://interaktiv.morgenpost.de/corona-virus-karte-infektionen-deutschland-weltweit/
[3] http://www.thefunctionalart.com/2020/01/all-graphics-from-how-charts-lie-freely.html
[3] https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_37.pdf
[3] https://www.duo.uio.no/bitstream/handle/10852/59073/DUOGaripzanov+copy.pdf?sequence=1
[2] https://www.dropbox.com/s/ctkayaht6jib8gy/HOWCHARTSLIE_BigThingsConference2019.pdf?dl=0

Top URLs in Tweet in G4:
[14] https://www.journalism.co.uk/news/data-crunching-weekly-formats-and-vertical-accounts-behind-the-telegraph-s-instagram-strategy/s2/a752648/
[5] https://j-source.ca/article/jimmy-thomson-receives-storylab-pulitzer-center-data-journalism-grant/
[5] https://netzpolitik.org/2020/so-veranschaulichen-datenjournalistinnen-das-coronavirus/
[4] https://www.journalism.co.uk/media-reporter-jobs/s64/
[4] http://humber.ca/today/media-releases/inaugural-storylab-data-journalism-grant-awarded-report-guardians-indigenous
[3] https://nucleo.jor.br/dinheiro%20p%C3%BAblico/2020-03-03-bolsa-familia-dados-2019
[3] https://pulitzercenter.org/blog/pulitzer-center-announces-new-data-journalism-opportunity?utm_medium=Social&utm_source=Twitter&utm_campaign=DataJournalismOpp
[3] https://pulitzercenter.org/data-journalism-grants
[3] https://projekte.sueddeutsche.de/artikel/wissen/coronavirus-die-wucht-der-grossen-zahl-e575082/
[2] https://twitter.com/washingtonpost/status/1238952059950567425

Top URLs in Tweet in G5:
[3] https://www.gofundme.com/f/help-socrates-to-Columbia-journalism-school
[1] https://twitter.com/marvincuche/status/1235648068277714944
[1] https://twitter.com/SocratesMbamalu/status/1237786609464086529

Top URLs in Tweet in G6:
[13] https://www.washingtonpost.com/graphics/2020/world/corona-simulator/
[5] https://www.washingtonpost.com/graphics/2020/world/corona-simulator/?tid=ss_tw
[4] https://twitter.com/Harry_Stevens/status/1238939988299001867
[3] https://medium.com/bbc-visual-and-data-journalism/how-the-bbc-visual-and-data-journalism-team-works-with-graphics-in-r-ed0b35693535
[3] https://www.journalism.co.uk/news/data-crunching-weekly-formats-and-vertical-accounts-behind-the-telegraph-s-instagram-strategy/s2/a752648/
[2] https://www.nytimes.com/interactive/2020/03/15/business/economy/coronavirus-worker-risk.html
[2] https://twitter.com/codinghorror/status/1239012392442290176
[2] https://twitter.com/washingtonpost/status/1238952059950567425
[2] https://www.journalism.org/2020/01/24/data-snapshots-election-news-pathways/
[1] https://twitter.com/ghs/status/1239313646615961602

Top URLs in Tweet in G7:
[3] https://projekte.sueddeutsche.de/artikel/wissen/coronavirus-die-wucht-der-grossen-zahl-e575082/
[2] https://www.augsburger-allgemeine.de/neuburg/Schaetzen-Sie-selbst-Wie-hat-sich-Neuburg-in-den-vergangenen-Jahren-veraendert-id57026831.html
[1] https://interaktiv.morgenpost.de/frauentag-parlamente-ohne-maenner-frauenquote-bundestag-landtag/
[1] https://interaktiv.morgenpost.de/corona-virus-karte-infektionen-deutschland-weltweit/
[1] https://projekte.sueddeutsche.de/artikel/politik/bundestag-das-gehetzte-parlament-e953507/
[1] https://twitter.com/c_endt/status/1239269303385493506
[1] https://twitter.com/ddale8/status/1237442130844495872
[1] https://interaktiv.tagesspiegel.de/lab/100-jahre-gross-berlin/
[1] https://www.zeit.de/wissen/gesundheit/2020-03/coronavirus-ausbreitung-zeitverlauf-landkreise-staedte-karte
[1] https://www.augsburger-allgemeine.de/augsburg/Schaetzen-Sie-selbst-Wie-hat-sich-Augsburg-in-den-Gribl-Jahren-veraendert-id56725766.html

Top URLs in Tweet in G8:
[29] https://gijn.org/2020/03/12/data-journalism-top-10-covid-19-data-viz-brazil-presidents-tweets-beach-erosion-indias-influencers-london-by-bike-syllabi/
[5] https://gijn.org/2020/03/05/data-journalism-top-10-royal-instagram-mystery-us-election-the-markup-launches-100-years-of-mideast-deals/
[5] https://www.journalism.org/dataset/election-news-pathways-february-2020-survey/
[3] https://data-journalism.strelka.com/
[2] https://www.pewresearch.org/fact-tank/2020/03/11/5-key-findings-from-our-latest-election-news-pathways-survey-from-impeachment-to-the-democratic-race/
[2] https://www.pewresearch.org/pathways-2020/
[2] https://www.journalism.org/2020/01/24/election-news-pathways-project-frequently-asked-questions/#about-the-api
[1] https://gijn.org/2020/03/12/what-were-reading-like-everyone-else-everything-about-covid-19/
[1] https://cj2020.northeastern.edu/
[1] https://gijn.org/2020/02/27/gijns-data-journalism-top-10-weird-maps-out-of-control-airbnb-augmented-reality-graphics-russian-doctors-brazilian-data/

Top URLs in Tweet in G9:
[2] https://www.merkur.de/politik/kommunalwahl-bayern-2020-wahlergebnisse-datenjournalismus-zr-13593651.html
[1] https://twitter.com/newsillustrator/status/1237069948494794756
[1] https://www.merkur.de/bayern/kommunalwahl-bayern-buergermeisterwahl-2020-ob-ergebnisse-13595420.html
[1] https://twitter.com/swrdata/status/1238366984565293056
[1] http://www.thefunctionalart.com/2020/03/trump-sent-his-followers-signed-chart.html
[1] https://www.ndr.de/nachrichten/niedersachsen/hannover_weser-leinegebiet/Kaum-weibliche-Fuehrungskraefte-in-Landesministerien,frauentag304.html
[1] https://www.ardmediathek.de/swr/player/Y3JpZDovL3N3ci5kZS9hZXgvbzExNzc4ODk/
[1] https://twitter.com/SZ/status/1237432549485481984
[1] https://twitter.com/HalukaMB/status/1238388522479951872
[1] https://www.rbb24.de/panorama/thema/2020/coronavirus/beitraege/welche-massnahmen-beim-eindaemmen-helfen-koennten-.html

Top URLs in Tweet in G10:
[2] https://www.elconfidencial.com/tecnologia/ciencia/2020-03-10/coronavirus-incidencia-afectados-paises-curvas_2489787/
[1] https://www.elconfidencial.com/tecnologia/ciencia/2020-03-13/coronavirus-expansion-china-europa-estados-unidos_2495376/

Top Domains
Top Domains in Tweet in Entire Graph:
[241] twitter.com
[233] thefunctionalart.com
[135] sueddeutsche.de
[129] washingtonpost.com
[46] co.uk
[40] medium.com
[40] gijn.org
[32] verigazeteciligi.com
[28] pulitzercenter.org
[15] efarmnewsar.com

Top Domains in Tweet in G1:
[10] sueddeutsche.de

Top Domains in Tweet in G2:
[106] sueddeutsche.de
[3] twitter.com
[1] thefunctionalart.com

Top Domains in Tweet in G3:
[226] thefunctionalart.com
[7] typepad.com
[4] miami.edu
[4] morgenpost.de
[3] wpmucdn.com
[3] twitter.com
[3] uio.no
[2] dropbox.com
[1] medium.com
[1] journalismcourses.org

Top Domains in Tweet in G4:
[103] twitter.com
[21] co.uk
[8] pulitzercenter.org
[5] datajournalism.com
[5] j-source.ca
[5] netzpolitik.org
[4] humber.ca
[3] jor.br
[3] sueddeutsche.de
[2] com.br

Top Domains in Tweet in G5:
[3] gofundme.com
[2] twitter.com

Top Domains in Tweet in G6:
[39] twitter.com
[19] washingtonpost.com
[9] instagram.com
[7] co.uk
[6] medium.com
[3] nytimes.com
[2] theguardian.com
[2] google.com
[2] journalism.org
[2] sueddeutsche.de

Top Domains in Tweet in G7:
[4] sueddeutsche.de
[4] augsburger-allgemeine.de
[2] morgenpost.de
[2] twitter.com
[1] tagesspiegel.de
[1] zeit.de

Top Domains in Tweet in G8:
[36] gijn.org
[8] journalism.org
[4] pewresearch.org
[3] strelka.com
[2] opensemanticsearch.org
[1] northeastern.edu
[1] miami.edu
[1] morgenpost.de
[1] sueddeutsche.de
[1] twitter.com

Top Domains in Tweet in G9:
[5] twitter.com
[3] merkur.de
[2] bnn.de
[1] thefunctionalart.com
[1] ndr.de
[1] ardmediathek.de
[1] rbb24.de
[1] nytimes.com
[1] netzpolitik.org
[1] zeit.de

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[905] corona
[849] ddj
[352] dataviz
[213] infographics
[211] coronavirus
[194] covid19
[169] flattenthecurve
[66] covidー19
[66] vaud
[66] tessin



Top Hashtags in Tweet in G1:
[432] corona
[10] ddj
[5] sprachemachtpolitik
[4] flattenthecurve
[3] coronavirus
[1] deutschland

Top Hashtags in Tweet in G2:
[282] corona
[131] flattenthecurve
[114] ddj
[7] dataviz
[7] covidー19
[6] covid2019
[5] coronavirus
[4] visualstorytelling
[4] exponentielleswachstum
[4] coronadeutschland

Top Hashtags in Tweet in G3:
[210] dataviz
[205] infographics
[25] ddj
[4] corona
[4] covid19
[2] bigth19
[2] howchartslie
[1] nicar20
[1] data
[1] journalism

Top Hashtags in Tweet in G4:
[303] ddj
[17] datajournalism
[16] data
[13] healthjournalism
[9] dataviz
[6] journalism
[5] nicar20
[4] journalismjobs
[4] journojobs
[4] editorialjobs

Top Hashtags in Tweet in G6:
[35] ddj
[10] journalism
[8] dj
[7] coronavirus
[6] covid19
[6] flattenthecurve
[5] dataviz
[4] data
[4] music
[4] pioneer

Top Hashtags in Tweet in G7:
[98] corona
[21] ddj
[9] dataviz
[6] augsburg
[5] afd
[5] frauentag
[5] weltfrauentag
[5] youdrawit
[2] flattenthecurve
[2] covidー19

Top Hashtags in Tweet in G8:
[59] ddj
[16] covid19
[7] коронавируса
[5] opensource
[4] datajournalism
[3] journalism
[3] brazil
[3] machinelearning
[3] dataviz
[3] search

Top Hashtags in Tweet in G9:
[25] ddj
[11] coronavirus
[9] covid19
[8] covid_19
[6] kommunalwahlbayern
[6] car
[6] dataviz
[5] corona
[2] kommunalwahl2020
[2] buergermeisterwahl

Top Hashtags in Tweet in G10:
[106] covid19
[4] ddj
[3] coronavirus
[2] rstats
[1] gganimate

Top Words
Top Words in Tweet in Entire Graph:
[2188] Words in Sentiment List#1: Positive
[876] Words in Sentiment List#2: Negative
[30] Words in Sentiment List#3: Angry/Violent
[84428] Non-categorized Words
[87492] Total Words
[1645] data
[1094] journalism
[926] weil
[919] exponentielles
[916] wachstum

Top Words in Tweet in G1:
[440] sz
[436] weil
[436] exponentielles
[436] wachstum
[436] unterschätzen
[435] mensch
[435] kaum
[435] vorstellen
[434] gefährlich
[433] darum

Top Words in Tweet in G2:
[282] #corona
[277] weil
[275] mensch
[273] exponentielles
[270] wachstum
[270] kaum
[269] vorstellen
[269] gefährlich
[268] unterschätzen
[265] darum

Top Words in Tweet in G3:
[303] albertocairo
[214] signed
[214] chart
[210] #dataviz
[205] #infographics
[159] same
[155] trump
[155] sent
[155] followers
[155] doing

Top Words in Tweet in G4:
[306] em
[303] #ddj
[270] dou
[124] jornalismo
[98] data
[95] jornalismodados
[95] dados
[38] nosso
[38] journalism
[33] datajournalism

Top Words in Tweet in G5:
[227] data
[226] study
[224] socratesmbamalu
[212] columbiajourn
[200] support
[180] school
[158] tough
[158] times
[158] need
[158] science

Top Words in Tweet in G6:
[134] data
[113] journalism
[35] #ddj
[15] media
[12] social
[11] great
[10] coronavirus
[10] #journalism
[9] piece
[9] news

Top Words in Tweet in G7:
[98] weil
[98] mensch
[98] exponentielles
[98] wachstum
[98] kaum
[98] vorstellen
[98] unterschätzen
[98] gefährlich
[98] #corona
[98] darum

Top Words in Tweet in G8:
[59] #ddj
[58] data
[44] gijn
[44] 10
[31] top
[31] র
[26] в
[26] pewresearch
[21] tools
[20] и

Top Words in Tweet in G9:
[67] zeigen
[67] alle
[66] coronavirus
[66] deutschland
[66] kam
[66] bestätigten
[66] fälle
[66] stadt
[66] landkreisen
[66] zeitverlauf

Top Words in Tweet in G10:
[113] jescuderoma
[106] países
[106] #covid19
[84] infectados
[84] españa
[82] están
[81] europeos
[81] incluida
[81] dibujando
[81] misma

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[916] exponentielles,wachstum
[901] weil,mensch
[895] kaum,vorstellen
[894] mensch,exponentielles
[893] vorstellen,unterschätzen
[891] wachstum,kaum
[882] unterschätzen,gefährlich
[873] gefährlich,#corona
[840] #corona,darum
[601] data,journalism

Top Word Pairs in Tweet in G1:
[436] exponentielles,wachstum
[435] weil,mensch
[435] mensch,exponentielles
[435] wachstum,kaum
[435] kaum,vorstellen
[434] vorstellen,unterschätzen
[434] unterschätzen,gefährlich
[432] gefährlich,#corona
[432] #corona,darum
[432] sz,weil

Top Word Pairs in Tweet in G2:
[275] weil,mensch
[270] exponentielles,wachstum
[269] kaum,vorstellen
[268] mensch,exponentielles
[268] vorstellen,unterschätzen
[267] unterschätzen,gefährlich
[267] gefährlich,#corona
[265] wachstum,kaum
[261] #corona,darum
[132] darum,#

Top Word Pairs in Tweet in G3:
[214] signed,chart
[205] #dataviz,#infographics
[155] trump,sent
[155] sent,followers
[155] followers,signed
[155] chart,doing
[155] doing,same
[155] same,mine
[155] mine,#dataviz
[154] albertocairo,trump

Top Word Pairs in Tweet in G4:
[270] dou,em
[270] em,#ddj
[91] jornalismodados,dou
[85] #ddj,jornalismodados
[40] jornalismo,dados
[36] data,journalism
[29] storylab,data
[29] journalism,grant
[22] inaugural,storylab
[18] theinterceptbr,nosso

Top Word Pairs in Tweet in G5:
[226] study,data
[158] tough,times
[158] times,need
[158] need,support
[158] support,columbiajourn
[158] columbiajourn,school
[158] school,study
[158] data,science
[158] science,received
[157] socratesmbamalu,tough

Top Word Pairs in Tweet in G6:
[73] data,journalism
[7] piece,data
[7] social,distancing
[5] covid,19
[4] journalism,conference
[4] taipei,based
[4] tnl,media
[4] media,group
[4] startup,ad2iction
[4] #dj,#ddj

Top Word Pairs in Tweet in G7:
[98] weil,mensch
[98] mensch,exponentielles
[98] exponentielles,wachstum
[98] wachstum,kaum
[98] kaum,vorstellen
[98] vorstellen,unterschätzen
[98] unterschätzen,gefährlich
[98] gefährlich,#corona
[98] #corona,darum
[95] remrow,weil

Top Word Pairs in Tweet in G8:
[36] 10,#ddj
[31] top,10
[15] play,data
[14] lrainie,pewresearch
[13] в,топ
[13] топ,10
[13] #ddj,gijn
[13] pewresearch,initiative
[13] initiative,gives
[13] gives,away

Top Word Pairs in Tweet in G9:
[66] coronavirus,deutschland
[66] deutschland,kam
[66] kam,zeigen
[66] zeigen,alle
[66] alle,bestätigten
[66] bestätigten,fälle
[66] fälle,stadt
[66] stadt,landkreisen
[66] landkreisen,zeitverlauf
[65] juliustroeger,coronavirus

Top Word Pairs in Tweet in G10:
[81] países,europeos
[81] europeos,españa
[81] españa,incluida
[81] incluida,están
[81] están,dibujando
[81] dibujando,misma
[81] misma,curva
[81] curva,infectados
[81] infectados,#covid19
[81] #covid19,dibujó

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@sz
@albertocairo
@socratesmbamalu
@columbiajourn
@c_endt
@b_obermayer
@jescuderoma
@remrow
@duc_qn
@pinardag

Top Mentioned in G1:
@sz
@c_endt
@dakgesundheit
@caroppodaniel
@opensciencer
@osframework
@fosterscience
@23degrees_io
@scherenavaelter

Top Mentioned in G2:
@b_obermayer
@c_endt
@cutterkom
@sz
@fraugamperl
@herr_szymanski
@hanslak
@pjebsen
@aokbwpresse
@munichrocker

Top Mentioned in G3:
@albertocairo
@realdonaldtrump
@445wakeup
@brianstelter
@stu
@junkcharts
@newreld
@bigthingsconf
@stuartathompson
@nickkristof

Top Mentioned in G4:
@jornalismodados
@datajournalism
@pulitzercenter
@jwsthomson
@theinterceptbr
@burgos
@thenarwhalca
@telegraph
@escoladedados
@marcogomes

Top Mentioned in G5:
@socratesmbamalu
@columbiajourn
@kemifalodun
@iamtoludaniel
@bakwamag
@realfemiotedola
@billgates
@thisisafricatia
@ajenglish
@cwwriters

Top Mentioned in G6:
@eduactivecom

Top Mentioned in G7:
@remrow
@funkeinteraktiv
@manuelbogner
@nimolter
@sz
@c_endt
@ydillinger
@mschories
@sebitsch
@munichrocker

Top Mentioned in G8:
@gijn
@pewresearch
@lrainie
@jselanikio
@sz
@folha
@voxeurop
@viniciusneves91
@davisvilums
@niemanlab

Top Mentioned in G9:
@juliustroeger
@halukamb
@swraktuell
@swr3
@schmdjhnnsn
@patrickstotz
@sz
@markk78
@swrdata
@merkur_de

Top Mentioned in G10:
@jescuderoma
@ca
@carlosmunozdiaz
@lmartingrx

Top Tweeters
Top Tweeters in Entire Graph:
@virginmedia
@odio_nao
@threadreaderapp
@saragomezaranci
@techl0g
@chrisbrey1
@talkintou
@eraser
@redetv
@guardian

Top Tweeters in G1:
@emet_news_press
@yoga_and_more
@littlewisehen
@schmidtlepp
@wriseup
@moschaefer66
@mclinvieno
@motikat
@sz
@passie_kracht

Top Tweeters in G2:
@eigensinn83
@frisch_fish
@cptleto
@btkrth
@ecakir67
@hanslak
@liane13
@aegisbridge
@claudine
@lizorangeliz

Top Tweeters in G3:
@wthizdat
@aztanya
@whysharksmatter
@snowdarkz
@jaunte
@thesanewhitaker
@yvespdb
@shardshinjuku
@brianstelter
@mjcaswell

Top Tweeters in G4:
@odio_nao
@redetv
@reuters
@publico
@telegraph
@recifebot
@vanstreetdog
@forgerat
@sicnoticias
@pedrohen

Top Tweeters in G5:
@seunesq
@cchukudebelu
@yarkafanchan
@ajalayemi
@akdm_bot
@enuvie_pearl
@folushaw
@anagazo
@ohiaofeh
@orunmumipe

Top Tweeters in G6:
@techl0g
@eraser
@jchapman1729
@gilmored85
@portal_com
@funitfreddie
@reggaecrisp1
@themediamentor
@mediaverse
@nationtalk

Top Tweeters in G7:
@chrisbrey1
@michael_kunz
@kircheheide
@komet81
@az_augsburg
@netzpolitik
@rdeecke
@elcaceres
@romangrabolle
@rnbwcv

Top Tweeters in G8:
@folha
@bostonglobe
@paulstpancras
@watchdogsniffer
@ru_rbc
@donalikihot
@morgenpost
@acaballoregalao
@a_donna
@jbenton

Top Tweeters in G9:
@mtaege
@zeitonline
@steffelechef
@norberthense
@tiosulfato
@bonipadua
@swraktuell
@sibelg69
@ndr
@_tillwe_

Top Tweeters in G10:
@thecorollary
@nonleggerlo
@andresrguez
@xmooth
@astianax_
@aberron
@bbbcccnnn
@bajoelbillete
@ansotegi1
@kanciller