dataviz OR datavis since:2021-09-13 until:2021-09-20, Twitter, 9/20/2021 1:02:56 PM, 262468


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dataviz OR datavis since:2021-09-13 until:2021-09-20 Twitter NodeXL SNA Map and Report for Monday, 2
dataviz OR datavis since:2021-09-13 until:2021-09-20 Twitter NodeXL SNA Map and Report for Monday, 2
From:
SMRFoundation
Uploaded on:
September 20, 2021
Short Description:
dataviz OR datavis since:2021-09-13 until:2021-09-20 via NodeXL https://bit.ly/39qwSMk
@grjenkin
@datasciencebot_
@pythonmaps
@catherineadenle
@unfccc
@un
@ingliguori
@mais_abusalah
@atqzahmd
@rmcondor

Top hashtags:
#dataviz
#datascience
#ai
#python
#bigdata
#data

Description:
Description
The graph represents a network of 6,219 Twitter users whose recent tweets contained "dataviz OR datavis since:2021-09-13 until:2021-09-20", 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 Monday, 20 September 2021 at 11:31 UTC.

The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Monday, 13 September 2021 at 00:00 UTC to Sunday, 19 September 2021 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 : 6219
Unique Edges : 13689
Edges With Duplicates : 10849
Total Edges : 24538
Number of Edge Types : 5
Retweet : 12607
MentionsInRetweet : 6828
Mentions : 1566
Replies to : 2129
Tweet : 1408
Self-Loops : 1533
Reciprocated Vertex Pair Ratio : 0.0116395078150981
Reciprocated Edge Ratio : 0.0230111768573307
Connected Components : 472
Single-Vertex Connected Components : 215
Maximum Vertices in a Connected Component : 4932
Maximum Edges in a Connected Component : 22594
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.087582
Graph Density : 0.000393330785604931
Modularity : 0.532207
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,219 Twitter users whose recent tweets contained "dataviz OR datavis since:2021-09-13 until:2021-09-20", 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 Monday, 20 September 2021 at 11:31 UTC.

The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Monday, 13 September 2021 at 00:00 UTC to Sunday, 19 September 2021 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 : TwitterSearch
Graph Term : dataviz OR datavis since:2021-09-13 until:2021-09-20
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 : In-Degree

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[218] https://github.com/rmcondor/rmaps-peruvian-case
[167] https://clauswilke.com/dataviz/
[138] https://rkabacoff.github.io/datavis/
[128] https://www.carbonbrief.org/guest-post-how-worlds-coal-power-pipeline-has-shrunk-by-three-quarters
[122] https://www.datasciencecentral.com/profiles/blogs/free-2-900-page-book-about-pandas
[115] https://www.theinsaneapp.com/2020/12/free-data-science-books-pdf.html?m=1
[115] https://twinybots.ch/
[112] https://dy.si/ZPUnF
[111] https://jadirectives.com/best-business-intelligence-certification-online/
[101] https://griddb.net/en/blog/tracking-air-quality-in-los-angeles-with-griddb-tableau/

Top URLs in Tweet in G1:
[118] https://www.datasciencecentral.com/profiles/blogs/free-2-900-page-book-about-pandas
[113] https://www.theinsaneapp.com/2020/12/free-data-science-books-pdf.html?m=1
[111] https://dy.si/ZPUnF
[110] https://jadirectives.com/best-business-intelligence-certification-online/
[85] https://www.kdnuggets.com/2020/05/hyperparameter-optimization-machine-learning-models.html
[78] https://www.datacamp.com/courses/introduction-to-data-visualization-with-plotly-in-python
[57] https://www.wired.com/story/stanford-proposal-ai-foundations-ignites-debate/
[53] https://www.infoworld.com/article/3633002/the-future-of-rust.html
[50] https://www.analyticsinsight.net/7-ways-image-recognition-can-help-impaired-vision-heres-how/
[47] https://cio.economictimes.indiatimes.com/news/next-gen-technologies/ai-data-science-mlthe-perfect-cocktail-for-business-value-creation/86251636?es_id=25301cac2f

Top URLs in Tweet in G2:
[75] https://griddb.net/en/blog/tracking-air-quality-in-los-angeles-with-griddb-tableau/
[57] https://www.nytimes.com/2021/09/17/us/politics/national-mall-covid-deaths.html
[44] https://drive.google.com/file/d/1B_Ijp0jc0PVFH2z5r4JrPOpxcOgj54UV/view?usp=sharing
[21] https://public.tableau.com/app/profile/naresh.suglani/viz/ParisBuildingAge_16319208770680/Paris
[17] https://dataliteracy.com/an-illustrated-guide-to-data-literacy-bias-in-research/
[15] https://www.youtube.com/watch?v=UXo3BLGlHnA&feature=youtu.be

[14] https://nightingaledvs.com/the-kids-table-draw-along-dataviz/
[14] https://www.surveymonkey.com/r/dataviz2021
[13] https://griddb.net/en/blog/create-interactive-dashboard-with-streamlit-python-and-griddb/
[13] https://public.tableau.com/views/AgeandCompositionoftheUnitedStatesSupremeCourt/CourtAge?:language=en-US&publish=yes&:display_count=n&:origin=viz_share_link

Top URLs in Tweet in G4:
[100] https://rkabacoff.github.io/datavis/
[49] https://www.billboard.com/
[49] https://github.com/FCTanner/tidy_tuesday/
[32] https://twitter.com/USGS_CDI/status/1438184274969178112
[26] https://teams.microsoft.com/l/meetup-join/19:meeting_YTY0ZTgzZTgtNzY5Yy00NTFjLWFjNTgtZmRkZDkzMGI5Mjc2@thread.v2/0?context={"Tid":"0693b5ba-4b18-4d7b-9341-f32f400a5494","Oid":"b10ccd3a-1507-4884-a25c-f53a0138956e"}
[26] https://twitter.com/miR_community/status/1438214181287759873
[16] https://medium.com/m/global-identity?redirectUrl=https://towardsdatascience.com/six-guidelines-for-good-visualizations-7c1831cda29f
[14] https://github.com/gkaramanis/tidytuesday/tree/master/2021/2021-week37
[14] https://github.com/HudsonJamie/tidy_tuesday
[14] http://blog.schochastics.net/post/animating-network-evolutions-with-gganimate/

Top URLs in Tweet in G5:
[217] https://github.com/rmcondor/rmaps-peruvian-case
[18] https://clauswilke.com/dataviz/
[6] http://wttr.in
[6] https://geoobserver.wordpress.com/2021/09/14/qgis-tipp-wttr-in-qgis/
[3] https://inequalitylab.world/
[2] https://rkabacoff.github.io/datavis/
[1] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=262228
[1] https://www.crowdcast.io/e/shiny-apps-UX-UI-design/register
[1] https://griddb.net/en/blog/create-interactive-dashboard-with-streamlit-python-and-griddb/
[1] https://www.datasciencecentral.com/profiles/blogs/free-2-900-page-book-about-pandas

Top URLs in Tweet in G7:
[17] https://www.ft.com/content/30b24ecc-a5ab-4e59-a0dc-aad165c007cc
[14] https://landgeist.com/2021/09/14/medical-doctors-per-1000-people/
[9] https://landgeist.com/2021/09/16/town-village-furthest-from-the-coast-2/
[4] https://www.reddit.com/r/dataisbeautiful/comments/poq3fs/oc_cost_of_electricity_in_spain_and_portugal/
[4] https://www.reddit.com/r/dataisbeautiful/comments/pnn79z/levels_of_co2_in_my_classroom_over_a_school_day_oc/
[4] https://landgeist.com/2021/07/29/town-village-furthest-from-the-coast/
[3] https://www.techrepublic.com/article/from-low-code-to-no-code-azure-gpt-3-and-microsofts-power-platform/
[3] https://www.createandlearn.net/
[3] https://www.reddit.com/r/dataisbeautiful/comments/pqc9wy/oc_townvillage_farthest_from_closest_neighboring/
[3] https://landgeist.com/2021/09/17/instant-noodle-consumption-in-europe/

Top URLs in Tweet in G8:
[28] https://click.linksynergy.com/link?id=gKVjjqRxqcQ&offerid=916798.13347748905&type=2&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fdecision-making
[28] https://bryanwhiting.github.io/dsnews/
[7] https://www.economist.com/graphic-detail/2021/03/15/young-people-stand-to-make-dismal-returns-on-their-investments
[7] https://www.economist.com/graphic-detail/2021/04/06/the-imf-boosts-global-growth-forecasts-for-the-second-time-this-year
[7] https://www.economist.com/graphic-detail/tracking-coronavirus-across-the-world
[7] https://www.economist.com/graphic-detail/2021/01/29/why-penalties-are-becoming-more-common-in-elite-football
[3] https://www.lebigdata.fr/toucan-toco-formation-dataviz-gratuite
[3] https://datastori.es/163-svelte-js-for-web-based-dataviz-with-amelia-wattenberger/
[3] https://twinybots.ch/
[3] https://www.microsoft.com/en-us/hololens/

Top URLs in Tweet in G9:
[128] https://clauswilke.com/dataviz/
[2] https://commonslibrary.parliament.uk/constituency-data-broadband-coverage-and-speeds/
[2] https://www.nytimes.com/2021/09/09/learning/whats-going-on-in-this-graph-sept-15-2021.html
[1] https://clauswilke.com/dataviz/bibliography.html
[1] https://engage.bah.com/Article/Redirect/8b214255-0997-4376-9507-b3273523b999?uc=55651&g=7e10ceec-1578-462c-a7de-b25e999541e0&f=239596
[1] https://smokymountains.com/fall-foliage-map/
[1] https://thisisstatistics.org/beyond-barometers-how-statisticians-help-to-predict-the-weather/
[1] https://github.com/gkaramanis/tidytuesday/tree/master/2021/2021-week36
[1] https://rkabacoff.github.io/datavis/
[1] https://www.billboard.com/

Top URLs in Tweet in G10:
[128] https://www.carbonbrief.org/guest-post-how-worlds-coal-power-pipeline-has-shrunk-by-three-quarters
[2] https://twitter.com/cwiekaleks/status/1434886318224515081
[1] https://github.com/gkaramanis/tidytuesday/tree/master/2021/2021-week36

Top Domains
Top Domains in Tweet in Entire Graph:
[819] twitter.com
[536] github.com
[354] bah.com
[343] jadirectives.com
[213] medium.com
[204] github.io
[168] clauswilke.com
[156] datacamp.com
[151] datasciencecentral.com
[150] griddb.net

Top Domains in Tweet in G1:
[353] bah.com
[336] jadirectives.com
[272] twitter.com
[145] kdnuggets.com
[145] datasciencecentral.com
[138] analyticsinsight.net
[122] dy.si
[113] theinsaneapp.com
[94] datacamp.com
[83] medium.com

Top Domains in Tweet in G2:
[97] griddb.net
[79] tableau.com
[74] twitter.com
[57] nytimes.com
[49] google.com
[44] nightingaledvs.com
[32] youtube.com
[17] dataliteracy.com
[16] europa.eu
[15] linkedin.com

Top Domains in Tweet in G4:
[240] github.com
[124] github.io
[115] twitter.com
[57] datacamp.com
[49] billboard.com
[33] tableau.com
[29] reddit.com
[26] microsoft.com
[25] statisticsglobe.com
[23] medium.com

Top Domains in Tweet in G5:
[217] github.com
[18] clauswilke.com
[6] wttr.in
[6] wordpress.com
[3] inequalitylab.world
[2] github.io
[1] nodexlgraphgallery.org
[1] crowdcast.io
[1] griddb.net
[1] datasciencecentral.com

Top Domains in Tweet in G7:
[49] reddit.com
[44] landgeist.com
[17] ft.com
[5] twitter.com
[3] techrepublic.com
[3] createandlearn.net
[3] ow.ly
[2] datacamp.com
[1] builtin.com
[1] dy.si

Top Domains in Tweet in G8:
[46] twitter.com
[29] github.io
[28] linksynergy.com
[28] economist.com
[26] cityofnewyork.us
[7] linkedin.com
[4] youtube.com
[4] microsoft.com
[3] tableau.com
[3] mailchi.mp

Top Domains in Tweet in G9:
[129] clauswilke.com
[2] parliament.uk
[2] nytimes.com
[2] github.com
[1] bah.com
[1] smokymountains.com
[1] thisisstatistics.org
[1] github.io
[1] billboard.com

Top Domains in Tweet in G10:
[128] carbonbrief.org
[2] twitter.com
[1] github.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[11985] dataviz
[8702] datascience
[8245] ai
[8158] python
[7528] bigdata
[7416] data
[7372] 100daysofcode
[7088] analytics
[6876] coding
[6795] ml



Top Hashtags in Tweet in G1:
[8130] ai
[8033] datascience
[7925] dataviz
[7703] python
[7428] bigdata
[7306] 100daysofcode
[6975] data
[6970] analytics
[6809] coding
[6707] ml

Top Hashtags in Tweet in G2:
[631] dataviz
[111] python
[97] griddb
[96] tableau
[83] iot
[77] datafam
[75] la
[75] losangeles
[56] datavisualization
[42] data

Top Hashtags in Tweet in G3:
[584] climateemergency
[561] cop26

Top Hashtags in Tweet in G4:
[731] dataviz
[666] rstats
[290] tidytuesday
[267] datascience
[145] ggplot2
[133] datavisualization
[73] tidyverse
[52] python
[46] makeovermonday
[43] r4ds

Top Hashtags in Tweet in G5:
[226] dataviz
[219] econtwitter
[7] datascience
[6] python
[6] weather
[6] commandline
[6] qgis
[6] switch2qgis
[6] gistribe
[5] data

Top Hashtags in Tweet in G6:
[237] dataviz
[228] cbb
[228] chartoftheday
[228] trending
[10] ai
[9] datascience
[9] analytics
[9] bigdata
[9] python
[9] 100daysofcode

Top Hashtags in Tweet in G7:
[305] dataviz
[175] datascience
[167] python
[166] data
[160] matplotlib
[158] geography
[156] numpy
[153] map
[151] datavisualization
[149] shipping

Top Hashtags in Tweet in G8:
[251] dataviz
[26] nyc
[21] datavisualization
[16] data
[15] datascience
[12] mapa
[12] violencia
[12] dadosabertos
[12] transparencia
[12] visualizacao

Top Hashtags in Tweet in G9:
[43] dataviz
[7] italy
[7] artcity
[7] artmap
[5] rstats
[5] datascience
[4] data
[3] tidytuesday
[3] python
[2] broadband

Top Hashtags in Tweet in G10:
[29] dataviz
[20] junkcharts
[20] edwardtufte
[4] academictwitter
[3] cop26
[3] climateemergency
[2] opendata
[2] openscience
[2] python
[2] matplotlib

Top Words
Top Words in Tweet in Entire Graph:
[13080] #dataviz
[9196] #datascience
[8607] #ai
[8543] #python
[8079] #100daysofcode
[8038] #bigdata
[7735] #data
[7570] #coding
[7517] #analytics
[7222] #ml

Top Words in Tweet in G1:
[8876] #dataviz
[8517] #datascience
[8490] #ai
[8086] #python
[8000] #100daysofcode
[7933] #bigdata
[7492] #coding
[7388] #analytics
[7283] #data
[7125] #ml

Top Words in Tweet in G2:
[643] #dataviz
[293] data
[230] dataviz
[127] help
[114] 000
[111] #python
[105] #tableau
[103] more
[100] tableau
[97] #griddb

Top Words in Tweet in G3:
[1168] record
[584] extreme
[584] heat
[584] 2021
[584] broken
[584] famous
[584] dust
[584] bowl
[584] 1936
[584] hottest

Top Words in Tweet in G4:
[749] #dataviz
[687] #rstats
[520] data
[290] #tidytuesday
[270] #datascience
[237] code
[145] #ggplot2
[141] visualization
[140] #datavisualization
[125] time

Top Words in Tweet in G5:
[434] paso
[235] datos
[233] #dataviz
[221] #econtwitter
[217] elaborado
[217] guía
[217] enseño
[217] cómo
[217] crear
[217] mapas

Top Words in Tweet in G6:
[237] #dataviz
[228] tier
[228] men
[228] basketball
[228] programs
[228] 2016
[228] very
[228] short
[228] list
[228] zagmbb

Top Words in Tweet in G7:
[307] #dataviz
[298] shipping
[298] lanes
[188] map
[175] #datascience
[169] made
[167] #python
[166] #data
[160] using
[160] #matplotlib

Top Words in Tweet in G8:
[251] #dataviz
[188] data
[75] dataviz
[60] more
[56] decision
[56] making
[35] see
[35] training
[32] big
[32] today

Top Words in Tweet in G9:
[259] book
[139] data
[131] time
[130] visualization
[129] wilke
[129] co
[128] anything
[128] everything
[128] know
[128] thanks

Top Words in Tweet in G10:
[134] dataviz
[130] world's
[128] amazing
[128] showing
[128] coal
[128] development
[128] pipeline
[128] collapsed
[128] paris
[128] shrinking

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[5667] #100daysofcode,#dataviz
[5615] #tensorflow,#coding
[5541] #ml,#nlp
[5371] #analytics,#bigdata
[5276] #datascientists,#analytics
[5112] #javascript,#tensorflow
[5035] #nlp,#javascript
[4819] #python,#datascience
[4407] #coding,#serverless
[4386] #datascience,#tech

Top Word Pairs in Tweet in G1:
[5611] #100daysofcode,#dataviz
[5563] #tensorflow,#coding
[5495] #ml,#nlp
[5325] #analytics,#bigdata
[5227] #datascientists,#analytics
[5066] #javascript,#tensorflow
[4991] #nlp,#javascript
[4764] #python,#datascience
[4376] #coding,#serverless
[4350] #datascience,#tech

Top Word Pairs in Tweet in G2:
[94] visualize,data
[88] dataviz,designer
[75] analyzed,air
[75] air,quality
[75] quality,data
[75] data,gathered
[75] gathered,epa
[75] epa,#la
[75] #la,county
[75] county,see

Top Word Pairs in Tweet in G3:
[584] extreme,heat
[584] heat,2021
[584] 2021,broken
[584] broken,famous
[584] famous,dust
[584] dust,bowl
[584] bowl,record
[584] record,1936
[584] 1936,hottest
[584] hottest,summer

Top Word Pairs in Tweet in G4:
[146] #rstats,#dataviz
[134] data,visualization
[113] #rstats,#datascience
[100] #datavisualization,#dataviz
[100] visualization,rob
[100] rob,kabacoff
[100] kabacoff,#rstats
[89] #dataviz,#datascience
[82] #dataviz,#rstats
[79] over,time

Top Word Pairs in Tweet in G5:
[217] elaborado,guía
[217] guía,enseño
[217] enseño,paso
[217] paso,paso
[217] paso,cómo
[217] cómo,crear
[217] crear,mapas
[217] mapas,usando
[217] usando,datos
[217] datos,peruanos

Top Word Pairs in Tweet in G6:
[228] tier,men
[228] men,basketball
[228] basketball,programs
[228] programs,2016
[228] 2016,very
[228] very,short
[228] short,list
[228] list,zagmbb
[228] zagmbb,kuhoops
[228] kuhoops,novambb

Top Word Pairs in Tweet in G7:
[298] shipping,lanes
[157] #python,using
[157] using,#matplotlib
[156] #matplotlib,#numpy
[151] made,#python
[150] map,shows
[150] #dataviz,#data
[149] mapping,world's
[149] world's,shipping
[149] lanes,map

Top Word Pairs in Tweet in G8:
[56] decision,making
[30] data,science
[29] data,driven
[28] driven,decision
[28] making,training
[28] training,pwc
[28] pwc,data
[28] data,informed
[28] informed,decision
[28] making,big

Top Word Pairs in Tweet in G9:
[130] data,visualization
[128] anything,everything
[128] everything,know
[128] know,data
[128] visualization,thanks
[128] thanks,books
[128] books,budget
[128] budget,time
[128] time,constraints
[128] constraints,looking

Top Word Pairs in Tweet in G10:
[128] amazing,dataviz
[128] dataviz,showing
[128] showing,world's
[128] world's,coal
[128] coal,development
[128] development,pipeline
[128] pipeline,collapsed
[128] collapsed,paris
[128] paris,shrinking
[128] shrinking,three

Top Replied-To
Top Replied-To in Entire Graph:
@kehlanidaiiy
@khilanii
@4theculture____
@letiaintshit
@strat_ai
@brian2grimey
@glo_bamba
@spicebae_
@dashaunlh
@sza

Top Replied-To in G1:
@kehlanidaiiy
@khilanii
@4theculture____
@letiaintshit
@strat_ai
@glo_bamba
@brian2grimey
@spicebae_
@sza
@dashaunlh

Top Replied-To in G2:
@moritz_stefaner
@r_mejean
@mtdunphy
@rubydelacruz
@ravelearmani
@hipstervizninja
@healthcora
@tls_dataviz
@emilykund
@s0_s0el

Top Replied-To in G4:
@truckweiland
@beeonaposy
@jamesmusambayi
@geokaramanis
@pearlelundeen
@mtdunphy
@researchremora
@easyas314
@moritz_stefaner
@chrt_io

Top Replied-To in G9:
@arinbasu
@pippan15

Top Replied-To in G10:
@timoroettger
@jwgrieve
@dingemansemark

Top Mentioned
Top Mentioned in Entire Graph:
@ingliguori
@scottduncanwx
@un
@zagmbb
@kuhoops
@novambb
@uvamenshoops
@catherineadenle
@tableau
@nicochan33

Top Mentioned in G1:
@ingliguori
@catherineadenle
@nicochan33
@wesmckinn
@antgrasso
@terence_mills
@ianljones98
@googleai
@aalnaggar
@ashley__pinc

Top Mentioned in G2:
@tableau
@epa
@inamericaflags
@tableaupublic
@pentagram
@datavizsociety
@allitorban
@dataliteracycom
@flodataviz
@lecolededesign

Top Mentioned in G3:
@scottduncanwx
@un
@bhumipednekar
@lennimontiel
@shekharkapur
@alexisohanian
@sacca
@chamath

Top Mentioned in G4:
@usgs_cdi
@cedscherer
@r4dscommunity
@codeforsociety
@hipstervizninja
@xruiztru
@malasi_abhinav
@billboard
@hi_sunnystreet
@rstudio

Top Mentioned in G5:
@igor_chubin
@benaliquids
@un
@rmcondor
@pythonroboto
@lucianablancov
@unfccc
@ingliguori
@catherineadenle
@datasciencebot_

Top Mentioned in G6:
@zagmbb
@kuhoops
@novambb
@uvamenshoops
@ingliguori

Top Mentioned in G7:
@lesliehook
@mnsumankato
@rbukralia
@simongerman600

Top Mentioned in G9:
@commonslibrary
@ofcom
@nytimeslearning
@vacationhere

Top Mentioned in G10:
@bodowinter
@un
@scottduncanwx
@sciam
@katherinekornei
@unamandita
@dingemansemark

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@cybersec_feeds
@chidambara09
@rk70534
@huskorkut
@british_airways
@moonbootica
@javascriptd
@geoffrey_payne
@xaelbot

Top Tweeters in G1:
@sectest9
@cybersec_feeds
@chidambara09
@javascriptd
@xaelbot
@codedailybot
@evankirstel
@thedeveloperbot
@cybersecurityn8
@artificialbra1n

Top Tweeters in G2:
@huskorkut
@5fec93919a544d3
@raumunz
@dataaugmented
@kaffe_takk
@conchaeplatano_
@washingtonpost
@christineiam
@smadygo
@mig30m6

Top Tweeters in G3:
@rk70534
@geoffrey_payne
@rjber15
@wally_wests
@dev_discourse
@jmhamiltonblog
@allan_crawshaw
@redboybroken
@princepetty415
@shizuokakonsama

Top Tweeters in G4:
@rosenchild
@guardian
@zgur_
@conjja
@rstatstweet
@ayirpelle
@billboard
@bungobot1
@greentechdon
@4c7f21ac5bb74b0

Top Tweeters in G5:
@zerojuls
@dvcstarsonia
@jorgejhms
@grjenkin
@schonso17
@gntz
@econotw
@pivange
@mimatisi
@elmonoestresado

Top Tweeters in G6:
@djradar
@bobnoller
@sherrillmoss
@08wvdcfan
@ovo_wayne3
@the_superhoo
@noisebox
@bigrobondahop
@dfluckesfans
@ace95boiler16

Top Tweeters in G7:
@ronaldclarke
@godemperorclown
@arjpascal
@sdreyse
@davidmatheson27
@fritzquincke
@djriveraros
@gontsa
@gatorandiano
@engelstad_b

Top Tweeters in G8:
@gnutiez
@ineffectivemath
@brunapinh
@businesson_line
@smxfr
@thirdgenwidget
@oji38054946
@gletham
@docmentillo
@odsc

Top Tweeters in G9:
@parvez1
@jwilhelmi
@7poko_
@vassalos
@0xf2
@subhobrata1
@rhidwhane
@owenboswarva
@cezarlalv_31
@br1ndavoine

Top Tweeters in G10:
@lillylyle
@flightbomb
@samljpage
@pfil1312
@pmagn
@tomdcoates
@jmkorhonen
@juuhaa
@ketanj0
@vjmahon


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