dataviz OR datavis, Twitter, 11/30/2019 9:58:29 PM, 217708


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dataviz OR datavis_2019-11-30_13-21-33.xlsx
dataviz OR datavis_2019-11-30_13-21-33.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 30, 2019
Short Description:
dataviz OR datavis via NodeXL http://bit.ly/2OXUayB
@kbandersen
@tjmahr
@nashtastic
@jainnitk
@neilrkaye
@wiwer77
@craigtaylorgis
@abhworthington
@albertocairo
@simongerman600

Top hashtags:
#dataviz
#bigdata
#ai
#datascience
#phishing
#data
#iot
#cybersecurity

Description:
Description
The graph represents a network of 3,885 Twitter users whose tweets in the requested range contained "dataviz OR datavis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 November 2019 at 21:23 UTC.

The requested start date was Saturday, 30 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 3-day, 8-hour, 2-minute period from Tuesday, 26 November 2019 at 16:57 UTC to Saturday, 30 November 2019 at 01:00 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 : 3885
Unique Edges : 4978
Edges With Duplicates : 2306
Total Edges : 7284
Number of Edge Types : 3
Tweet : 1126
Mentions : 6017
Replies to : 141
Self-Loops : 1126
Reciprocated Vertex Pair Ratio : 0.0240098501949518
Reciprocated Edge Ratio : 0.0468937875751503
Connected Components : 442
Single-Vertex Connected Components : 158
Maximum Vertices in a Connected Component : 2392
Maximum Edges in a Connected Component : 5335
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.222698
Graph Density : 0.000330697035125459
Modularity : 0.65567
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,885 Twitter users whose tweets in the requested range contained "dataviz OR datavis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 November 2019 at 21:23 UTC.

The requested start date was Saturday, 30 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 3-day, 8-hour, 2-minute period from Tuesday, 26 November 2019 at 16:57 UTC to Saturday, 30 November 2019 at 01:00 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 : dataviz OR datavis
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:
[276] https://github.com/mitchellkrogza/Phishing.Database/blob/master/phishing-domains-NEW-last-hour.txt
[177] https://github.com/mitchellkrogza/Phishing.Database/blob/master/phishing-links-ACTIVE-NOW.txt
[92] https://phishstats.info/
[92] https://github.com/mitchellkrogza/Phishing.Database/blob/master/phishing-links-NEW-today.txt
[52] https://lnkd.in/f4MArBz
[37] https://www.jadirectives.com/python-for-everybody-specialization-review/
[33] https://www.reddit.com/r/dataisbeautiful/comments/e2x6ar/passport_power_how_the_wealth_of_your_country/
[31] https://www.jadirectives.com/coursera-machine-learning-review/
[31] https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/table/#quarter:119;series:Net%20worth;demographic:generation;population:all;units:shares
[26] http://www.datasciencecentral.com/profiles/blogs/data-science-summarized-in-one-picture?utm_content=buffer6da62&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

Top URLs in Tweet in G1:
[1] https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/table/#quarter:119;series:Net%20worth;demographic:generation;population:all;units:shares
[1] https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/chart/#quarter:119;series:Net%20worth;demographic:age;population:all;units:shares;range:2005.1,2019.2

Top URLs in Tweet in G2:
[276] https://github.com/mitchellkrogza/Phishing.Database/blob/master/phishing-domains-NEW-last-hour.txt
[176] https://github.com/mitchellkrogza/Phishing.Database/blob/master/phishing-links-ACTIVE-NOW.txt
[92] https://github.com/mitchellkrogza/Phishing.Database/blob/master/phishing-links-NEW-today.txt
[90] https://phishstats.info/
[52] https://lnkd.in/f4MArBz
[37] https://www.jadirectives.com/python-for-everybody-specialization-review/
[31] https://www.jadirectives.com/coursera-machine-learning-review/
[26] http://www.datasciencecentral.com/profiles/blogs/data-science-summarized-in-one-picture?utm_content=buffer6da62&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[25] https://www.jadirectives.com/coursera-data-science-specialization-review/
[25] https://www.jadirectives.com/coursera-deep-learning-specialization-review/

Top URLs in Tweet in G3:
[1] https://www.youtube.com/watch?v=X6xJVtMtLHY&feature=youtu.be

[1] https://www.reddit.com/r/dataisbeautiful/comments/e1mcb2/_/
[1] https://www.who.int/uv/intersunprogramme/activities/uv_index/en/index3.html
[1] https://www.theguardian.com/environment/2019/nov/18/amazon-deforestation-at-highest-level-in-a-decade
[1] https://longstreet.typepad.com/thesciencebookstore/2011/06/-a-history-blank-empty-and-missing-things-76-the-american-bison-extermination-map.html
[1] https://longstreet.typepad.com/thesciencebookstore/2019/11/flying-to-india-from-london-at-93-mph-1928.html
[1] http://tweetedtimes.com/v/1525

Top URLs in Tweet in G4:
[18] http://drawingwithnumbers.artisart.org/parameter-actions-using-a-parameter-a-data-source/
[8] http://tweetedtimes.com/v/1229
[4] https://public.tableau.com/profile/besegal#!/vizhome/BESegalTableauVersionkeyfeaturesPublishedverv20191/Dashboard1?publish=yes
[2] https://medium.com/@adammico/thankyou-3e44a9384dc8
[2] https://datavis.blog/2019/11/28/drawing-on-dashboards
[2] https://nuzzel.com/Biff_Bruise/2019/11/27
[1] https://public.tableau.com/shared/8754BBK8S?:display_count=y&:origin=viz_share_link&:showVizHome=no
[1] https://public.tableau.com/profile/bo.mccready8742#!/vizhome/ProposedAmendmentstotheUnitedStatesConstitution/ProposedAmendments
[1] https://public.tableau.com/views/CadenceofCocktails/CadenceofCocktails?:display_count=y&publish=yes&:origin=viz_share_link
[1] http://duelingdata.blogspot.com/2019/11/thanksgiving-2019.html

Top URLs in Tweet in G5:
[10] http://www.thefunctionalart.com/2019/11/the-bar-chart-race-is-fidget-spinner-of.html
[5] http://www.thefunctionalart.com/2019/11/old-dogs-tom-hanks-and-analogies-in.html
[5] https://www.martintelefont.com/datavizbutterflies
[3] https://docs.google.com/document/d/1DtTAWGDYdpJzSowxO5sYeHAIoSf8bmdygAgU_srFcV0/
[3] https://www.youtube.com/watch?v=qDOmDffYqCw&feature=youtu.be

[2] https://www.createwithdata.com/gapminder-chartjs/
[2] https://blog.datawrapper.de/datavis-bookclub-alberto-cairo-how-charts-lie/
[2] https://datajournalism.com/read/longreads/data-in-the-air
[2] https://vimeo.com/357364886
[2] https://edp.europeandatajournalism.eu/?language=en

Top URLs in Tweet in G6:
[5] https://itsinfographics.com
[4] https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/table/#quarter:119;series:Net%20worth;demographic:generation;population:all;units:shares
[4] https://itsinfographics.com/dont-abandon-rekindle-its-in-infographics/
[4] https://assetstore.unity.com/packages/tools/gui/world-map-globe-edition-41890?aid=1101lGsd
[4] https://assetstore.unity.com/packages/tools/gui/world-map-2d-edition-43180?aid=1101lGsd
[3] https://twitter.com/notstelfc/status/1199824212397109248
[3] https://itsinfographics.com/fueling-the-thinking-eye-with-eye-candy/
[3] https://cudaeducation.com/thor/
[2] http://shimz.me/datavis/mimanCity/
[2] https://itsinfographics.com/dont-abandon-rekindle-its-in-infographics

Top URLs in Tweet in G7:
[7] https://github.com/Duvancho321/Tidyuesday
[6] https://soroosj.netlify.com/2019/11/26/favorite-r-packages/
[5] https://www.tidytuesday.com/12
[5] https://johaniefournier.com/?p=3665
[4] https://github.com/rfordatascience/tidytuesday/blob/master/README.md
[3] https://www.r-bloggers.com/easy-us-maps-in-r-thanksgiving-edition/
[3] https://twitter.com/StatsGary/status/1192752181310570496
[3] http://jason-doug-climate.blogspot.com/2014/07/examining-seasonal-daily-change-in.html?m=1
[3] https://highcharts.github.io/highcharts-utils/samples/#gh/master/sample/highcharts/blog/cybertruck
[2] https://www.datasciencecentral.com/profiles/blogs/the-ultimate-r-cheatsheet

Top URLs in Tweet in G8:
[6] https://www.procedural.eu/
[3] https://twitter.com/jdwlbr/status/1181595671331295232
[2] https://statsanddatasci.netlify.com/post/libros-datascience-espa%C3%B1ol/
[2] https://www.esri.com/arcgis-blog/products/arcgis-online/mapping/understand-and-explore-your-data-in-map-viewer-beta/
[1] https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh
[1] https://link.medium.com/qIfbMMfjI0
[1] https://www.reddit.com/r/dataisbeautiful/comments/e2x6ar/passport_power_how_the_wealth_of_your_country/
[1] https://www.flickr.com/photos/10519370@N04/26242288896/
[1] http://drawingwithnumbers.artisart.org/parameter-actions-using-a-parameter-a-data-source/
[1] https://urbanobservatory.maps.arcgis.com/apps/Cascade/index.html?appid=832d059f4cf4495995a38d2c0ac69731&adumkts=social&utm_source=social&aduc=social&adum=external&aduca=social_trends&adusf=twitter&adut=2fff0de8-9481-435b-93da-2dc9f9d0b66b

Top URLs in Tweet in G9:
[27] https://www.reddit.com/r/dataisbeautiful/comments/e2x6ar/passport_power_how_the_wealth_of_your_country/
[24] https://www.reddit.com/r/dataisbeautiful/comments/e2f6rz/amazons_financials_broken_down_by_business_type_oc/
[14] https://www.reddit.com/r/dataisbeautiful/comments/e36uyi/oc_total_amount_of_captures_on_chessboard_in_300/
[3] https://www.reddit.com/r/dataisbeautiful/comments/e257go/announcing_a_moratorium_on_racing_bar_charts/
[2] https://www.reddit.com/r/dataisbeautiful/comments/a4l0ta/the_unit_circle_oc/
[2] https://twitter.com/jburnmurdoch/status/1199595123551744008
[2] https://www.stat.auckland.ac.nz/~paul/Reports/grImport/grimport-gridsvg-export/grimport-gridsvg-export.html#requirements
[1] https://www.nasa.gov/topics/earth/features/forest20120217.html
[1] https://www.reddit.com/r/dataisbeautiful/comments/e1mcb2/oc_selected_causes_of_death_in_comparison_with/
[1] https://www.reddit.com/r/dataisbeautiful/comments/e1vb4i/fraction_of_all_us_wealth_owned_by_each/

Top URLs in Tweet in G10:
[4] https://www.informationisbeautifulawards.com/news/485-information-is-beautiful-awards-2019-the-winners
[4] https://op.europa.eu/eudataviz
[3] https://info.graphics/
[3] http://geographical.co.uk/places/mapping/item/3526-winners-of-the-2019-information-is-beautiful-awards
[2] https://www.informationisbeautifulawards.com/news/486-dataviz-under-the-stars-an-interview-with-jordan-vincent
[2] https://punchup.world/2019/11/information-is-beautiful/
[2] https://twitter.com/EASO/status/1196730845777801216
[2] https://thedatainnovator.com/2019/10/03/infographic-tools-options-whats-the-difference/
[1] https://qz.com/1717245/your-retirement-plan-is-making-climate-change-worse/
[1] https://medium.com/hackernoon/renters-and-owners-visualizing-every-person-in-the-us-ba97d3c49c02?source=twitterShare-e9626bc10f03-1574845008&_branch_match_id=link-728159619125462392

Top Domains
Top Domains in Tweet in Entire Graph:
[576] github.com
[188] twitter.com
[123] jadirectives.com
[110] reddit.com
[98] itsinfographics.com
[98] federalreserve.gov
[92] phishstats.info
[59] datasciencecentral.com
[52] lnkd.in
[43] co.uk

Top Domains in Tweet in G1:
[2] federalreserve.gov

Top Domains in Tweet in G2:
[549] github.com
[123] jadirectives.com
[90] phishstats.info
[57] datasciencecentral.com
[52] lnkd.in
[36] twitter.com
[32] forbes.com
[28] quid.com
[22] goyello.com
[19] bigdataanalyticsnews.com

Top Domains in Tweet in G3:
[2] typepad.com
[1] youtube.com
[1] reddit.com
[1] who.int
[1] theguardian.com
[1] tweetedtimes.com

Top Domains in Tweet in G4:
[21] tableau.com
[18] artisart.org
[8] twitter.com
[8] tweetedtimes.com
[5] co.uk
[4] nuzzel.com
[2] blogspot.com
[2] medium.com
[2] bit.ly
[2] datavis.blog

Top Domains in Tweet in G5:
[15] thefunctionalart.com
[6] twitter.com
[5] martintelefont.com
[4] medium.com
[4] youtube.com
[3] datawrapper.de
[3] google.com
[2] createwithdata.com
[2] co.nz
[2] datajournalism.com

Top Domains in Tweet in G6:
[40] twitter.com
[22] itsinfographics.com
[10] federalreserve.gov
[8] trello.com
[8] unity.com
[7] linkedin.com
[6] reddit.com
[6] youtube.com
[6] medium.com
[6] chi2innovations.com

Top Domains in Tweet in G7:
[16] github.com
[10] twitter.com
[6] netlify.com
[6] johaniefournier.com
[5] tidytuesday.com
[4] r-bloggers.com
[3] blogspot.com
[3] github.io
[2] datasciencecentral.com
[2] dataatomic.com

Top Domains in Tweet in G8:
[6] procedural.eu
[3] twitter.com
[2] netlify.com
[2] esri.com
[1] cityofnewyork.us
[1] medium.com
[1] reddit.com
[1] flickr.com
[1] artisart.org
[1] arcgis.com

Top Domains in Tweet in G9:
[78] reddit.com
[2] twitter.com
[2] ac.nz
[1] nasa.gov
[1] tjmahr.com
[1] dy.si

Top Domains in Tweet in G10:
[11] twitter.com
[6] informationisbeautifulawards.com
[5] info.graphics
[4] europa.eu
[3] co.uk
[2] punchup.world
[2] thedatainnovator.com
[1] qz.com
[1] medium.com
[1] github.io

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2250] dataviz
[685] bigdata
[624] ai
[479] datascience
[466] phishing
[453] data
[427] iot
[362] cybersecurity
[348] blockchain
[334] ia



Top Hashtags in Tweet in G2:
[743] dataviz
[652] bigdata
[601] ai
[463] phishing
[409] iot
[405] datascience
[358] cybersecurity
[344] blockchain
[332] ia
[315] data

Top Hashtags in Tweet in G3:
[75] climatechange
[52] stateofclimate
[52] cop25
[36] dataviz
[25] maps
[23] globalwarming
[22] gis
[3] aviation
[2] mapping
[2] moreinsightlessscrolling

Top Hashtags in Tweet in G4:
[75] dataviz
[22] tableau
[14] makeovermonday
[7] workoutwednesday2019
[4] data
[4] datafam
[3] vizforsocialgood
[3] healthcare
[3] tableautip
[3] tableauserver

Top Hashtags in Tweet in G5:
[136] dataviz
[15] ddj
[13] powerbi
[8] vg
[5] data
[4] chartjs
[4] datascience
[3] meettheexpert
[3] datajustice
[2] gapminder

Top Hashtags in Tweet in G6:
[182] dataviz
[22] infographic
[17] data
[15] contentmarketing
[13] visual
[13] datavisualization
[11] infographics
[11] gamedev
[9] digitalmarketing
[8] visualization

Top Hashtags in Tweet in G7:
[99] dataviz
[78] rstats
[57] tidytuesday
[30] ggplot2
[19] r4ds
[16] datascience
[15] tidyverse
[13] maps
[13] data
[12] r

Top Hashtags in Tweet in G8:
[74] dataviz
[66] 30daymapchallenge
[13] rstats
[9] r
[8] javascript
[7] webgl
[7] threejs
[7] statistician
[7] statistics
[7] maths

Top Hashtags in Tweet in G9:
[84] dataviz
[13] chess
[4] rstats
[2] math
[2] tidytuesday
[1] coding
[1] bigdata

Top Hashtags in Tweet in G10:
[49] dataviz
[17] eudataviz
[9] iibawards
[5] tbt
[4] dataart
[3] infographics
[2] aesthetics
[2] datavisualisation
[2] datavis
[2] vislis

Top Words
Top Words in Tweet in Entire Graph:
[2563] Words in Sentiment List#1: Positive
[1094] Words in Sentiment List#2: Negative
[10] Words in Sentiment List#3: Angry/Violent
[106975] Non-categorized Words
[110632] Total Words
[2250] #dataviz
[1153] boomers
[865] gt
[740] found
[713] data

Top Words in Tweet in G1:
[1134] boomers
[568] average
[568] 35
[567] fraction
[567] wealth
[567] owned
[567] gen
[567] xers
[567] member
[567] each

Top Words in Tweet in G2:
[788] gt
[743] #dataviz
[728] found
[652] #bigdata
[601] #ai
[547] phishfindr
[463] #phishing
[455] today
[409] #iot
[405] #datascience

Top Words in Tweet in G3:
[291] wmo
[250] co
[233] neilrkaye
[188] yesterday
[188] reported
[188] another
[188] record
[188] level
[188] atmosphere
[188] 407

Top Words in Tweet in G4:
[75] #dataviz
[70] data
[59] dad
[45] tableau
[38] flight
[27] blog
[25] viz
[24] more
[22] #tableau
[21] ve

Top Words in Tweet in G5:
[136] #dataviz
[80] dad
[54] jburnmurdoch
[52] flight
[42] charts
[42] data
[32] bar
[30] albertocairo
[29] free
[27] speech

Top Words in Tweet in G6:
[182] #dataviz
[48] data
[22] #infographic
[17] #data
[16] dataviz
[16] visualization
[15] world
[15] #contentmarketing
[14] more
[13] #visual

Top Words in Tweet in G7:
[99] #dataviz
[78] #rstats
[57] #tidytuesday
[43] loan
[31] student
[30] #ggplot2
[27] week
[22] inspired
[20] 48
[19] code

Top Words in Tweet in G8:
[74] #dataviz
[66] #30daymapchallenge
[66] day
[53] craigtaylorgis
[34] 29
[34] experimental
[34] produce
[34] stems
[34] experimenting
[34] old

Top Words in Tweet in G9:
[84] #dataviz
[53] randal_olson
[36] down
[36] visualization
[35] made
[34] dataandme
[34] nice
[34] break
[34] tjmahr
[34] combo

Top Words in Tweet in G10:
[49] #dataviz
[18] 2019
[17] #eudataviz
[17] data
[16] infobeautyaward
[9] winners
[9] #iibawards
[9] information
[9] beautiful
[9] eu_opendata

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[575] boomers,1989
[574] fraction,wealth
[574] wealth,owned
[574] 1989,21
[573] gen,xers
[572] boomers,gen
[572] xers,average
[572] average,member
[572] member,each
[572] 35,boomers

Top Word Pairs in Tweet in G1:
[567] fraction,wealth
[567] wealth,owned
[567] owned,boomers
[567] boomers,gen
[567] gen,xers
[567] xers,average
[567] average,member
[567] member,each
[567] each,age
[567] age,35

Top Word Pairs in Tweet in G2:
[367] phishfindr,found
[361] gt,found
[361] found,today
[320] #ai,#ia
[306] #ia,#bigdata
[260] #dataanalytics,#data
[260] #data,#cloud
[260] #cloud,#iot
[255] #bigdata,#blockchain
[249] #iot,#businessintelligence

Top Word Pairs in Tweet in G3:
[188] yesterday,wmo
[188] wmo,reported
[188] reported,another
[188] another,record
[188] record,level
[188] level,co
[188] co,atmosphere
[188] atmosphere,407
[188] 407,ppm
[188] ppm,main

Top Word Pairs in Tweet in G4:
[19] flight,attendant
[19] attendant,doctor
[19] doctor,flight
[19] flight,dad
[19] dad,ve
[19] ve,dad
[19] dad,dad
[19] dad,asking
[19] asking,data
[18] reading,jonathandrummey's

Top Word Pairs in Tweet in G5:
[27] free,speech
[26] chilling,attack
[26] attack,free
[26] speech,#dataviz
[26] flight,attendant
[26] attendant,doctor
[26] doctor,flight
[26] flight,dad
[26] dad,nudging
[26] nudging,dad

Top Word Pairs in Tweet in G6:
[13] data,visualization
[10] #infographic,#dataviz
[8] visualization,trello
[8] trello,board
[8] board,eleanor
[8] eleanor,brown
[8] brown,#dataviz
[8] #dataviz,#gamedev
[7] #infographics,#infographic
[7] #visual,#contentmarketing

Top Word Pairs in Tweet in G7:
[26] student,loan
[22] #rstats,#dataviz
[16] loan,debt
[14] #ggplot2,#dataviz
[12] #tidytuesday,2019
[12] 2019,48
[12] 48,student
[12] debt,sure
[12] sure,loan
[12] loan,terms

Top Word Pairs in Tweet in G8:
[66] #30daymapchallenge,day
[52] craigtaylorgis,#30daymapchallenge
[34] day,29
[34] 29,experimental
[34] experimental,#dataviz
[34] #dataviz,produce
[34] produce,stems
[34] stems,experimenting
[34] experimenting,old
[34] old,concept

Top Word Pairs in Tweet in G9:
[34] nice,break
[34] break,down
[34] down,tjmahr
[34] tjmahr,made
[34] made,combo
[34] combo,viz
[34] viz,another
[34] another,mixed
[34] mixed,effects
[34] effects,model

Top Word Pairs in Tweet in G10:
[9] information,beautiful
[7] created,voronoi
[7] voronoi,map
[7] map,streamgraph
[7] streamgraph,#dataviz
[7] #dataviz,prototype
[7] prototype,swayable
[7] swayable,visualize
[7] visualize,preferential
[7] preferential,polling

Top Replied-To
Top Replied-To in Entire Graph:
@chainofthings
@dataviz_
@noahi
@will_mi77
@trimydata
@freecodecamp
@lucidinsightsnz
@adammico1
@chrisluv
@bykorexx

Top Replied-To in G1:
@sakumiblr

Top Replied-To in G2:
@chainofthings
@freecodecamp
@bing
@mbostock
@merz
@xtravisage

Top Replied-To in G3:
@uniofyork

Top Replied-To in G4:
@trimydata
@adammico1
@chrisluv
@pradeep_zen
@suglaninaresh
@sarahlovesdata
@jonni_walker
@giorgialupi
@sophiewarnes
@yoshi_dataviz

Top Replied-To in G5:
@noahi
@will_mi77
@lucidinsightsnz
@jburnmurdoch
@visualisingdata
@albertocairo
@montoux
@johnburrett
@pravinvaani
@annennenne

Top Replied-To in G7:
@igotflowerpower
@ruettenauer
@r4dscommunity
@denis_mongin
@dikayodata
@thomas_mock

Top Replied-To in G10:
@infobeautyaward

Top Mentioned
Top Mentioned in Entire Graph:
@kbandersen
@wiwer77
@wmo
@neilrkaye
@phishfindr
@nclsdata
@farzanasabera
@jamilahmed_16
@fisher85m
@phishstats

Top Mentioned in G1:
@kbandersen
@paldama

Top Mentioned in G2:
@wiwer77
@phishfindr
@nclsdata
@farzanasabera
@jamilahmed_16
@fisher85m
@phishstats
@jadirectivestwt
@datasciencectrl
@sajonjoy

Top Mentioned in G3:
@wmo
@neilrkaye
@ptak
@binocularity
@turinginst
@ed_hawkins
@yannick__
@wiprodigital
@gloriamika

Top Mentioned in G4:
@tableau
@marc_ds5
@jonathandrummey
@chrisluv
@tableaupublic
@vizwizbi
@trimydata
@jonni_walker
@schaubkatelyn
@sarahlovesdata

Top Mentioned in G5:
@jburnmurdoch
@albertocairo
@datavisclub
@acotgreave
@mikevizneros
@insightsmachine
@ucph_health
@mcx83
@_cingraham
@annennenne

Top Mentioned in G6:
@eelrekab
@eth_dev_news
@yshdykhr
@thevisualized

Top Mentioned in G7:
@watzoever
@tidypod
@duvannievesrui1
@jpeebles
@byjohnrroby
@opengeohub
@paula_moraga_
@r4dscommunity
@dataatomic
@denis_mongin

Top Mentioned in G8:
@craigtaylorgis
@vizualdatos
@csaladenes
@eltebtkmmi
@esri
@pheeelicks
@statsanddatasci
@datagistips
@attilabatorfy
@arcgisonline

Top Mentioned in G9:
@randal_olson
@dataandme
@tjmahr
@dataisbeautiful
@nasa
@magwanjiru
@kbandersen
@kirkdborne
@watzoever

Top Mentioned in G10:
@infobeautyaward
@eu_opendata
@nadiehbremer
@swayable
@jordan_vinc
@vismeapp
@eulawdatapubs
@glenkcampbell
@datavislisboa
@minagriperu

Top Tweeters
Top Tweeters in Entire Graph:
@arkangelscrap
@sectest9
@jal_official_jp
@jurylady5
@huskorkut
@resilient_ent
@marionspekker
@nosqldigest
@monicasloves
@ejlazar

Top Tweeters in G1:
@noncontacthogg
@morgfair
@charlesexsavior
@deansherrys
@woobietuesday
@17thcard
@aacoek
@pharaoh_honor
@coolchange80
@madamecrab

Top Tweeters in G2:
@arkangelscrap
@sectest9
@resilient_ent
@nosqldigest
@chidambara09
@aaroncuddeback
@karlos_240
@linda_u_w_a
@santchiweb
@codernotesbot

Top Tweeters in G3:
@derekjohnbryant
@ludmila1348
@ollieglanvill
@burritojustice
@michaelpurvis64
@ineeshadvs
@ganralf7
@joshdacat
@mwt2008
@umbrios

Top Tweeters in G4:
@indiatoday
@drlangtry_girl
@jenstirrup
@trappedalien
@joyclee
@sophiewarnes
@unicef
@kristinhenry
@kingsoflyon7
@theboytimi

Top Tweeters in G5:
@nytimes
@joshspero
@ft
@abnamro
@ricardo_ik_ahau
@indeadline
@bbbcccnnn
@albertocairo
@_eleanorina
@_cingraham

Top Tweeters in G6:
@yshdykhr
@curtis_hartung_
@hakimgreen
@researchbuzz
@suementors
@mrm8488
@xeus
@juliencoquet
@lucastimmons
@mccormickhe1005

Top Tweeters in G7:
@homegypsy
@rstatstweet
@hrbrmstr
@riogreyhound
@athertonkd
@dikayodata
@gertshair
@rstats4ds
@majosejurado
@byjohnrroby

Top Tweeters in G8:
@gdautoart
@digitalsphere33
@cartogeek
@jorgetobon
@_01jonny
@mebiusbox2
@onlmaps
@jonathanpineros
@jonikorpi
@zeirus

Top Tweeters in G9:
@davidsuescun96
@sdreyse
@manojmayogi
@kittymuu
@drtao
@heyokh
@dccc_phd
@tripathiam3
@puram_politics
@nasa

Top Tweeters in G10:
@trekonomicsbot
@martingaedt
@qz
@tfl
@natures_voice
@gazzema
@ibis_journal
@bondparkerbond
@googlemaps
@stracma