dataviz since:2020-11-23 until:2020-11-30, Twitter, 11/30/2020 1:18:28 PM, 242424


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dataviz since:2020-11-23 until:2020-11-30 Twitter NodeXL SNA Map and Report for Monday, 30 November
dataviz since:2020-11-23 until:2020-11-30 Twitter NodeXL SNA Map and Report for Monday, 30 November
From:
SMRFoundation
Uploaded on:
November 30, 2020
Short Description:
dataviz since:2020-11-23 until:2020-11-30 via NodeXL https://bit.ly/2Vf8O8e
@kate_ptrv
@randal_olson
@thomas_mock
@rstatstweet
@hyounpark
@ecology_africa
@wbg_climate
@martinplaut
@acapsproject
@milos_agathon

Top hashtags:
#dataviz
#datascience
#machinelearning

Description:
Description
The graph represents a network of 15,509 Twitter users whose recent tweets contained "dataviz since:2020-11-23 until:2020-11-30", 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, 30 November 2020 at 12:25 UTC.

The tweets in the network were tweeted over the 6-day, 19-hour, 18-minute period from Monday, 23 November 2020 at 04:20 UTC to Sunday, 29 November 2020 at 23:39 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 : 15509
Unique Edges : 19398
Edges With Duplicates : 3700
Total Edges : 23098
Number of Edge Types : 5
Retweet : 15934
MentionsInRetweet : 3583
Mentions : 2017
Tweet : 1331
Replies to : 233
Self-Loops : 1428
Reciprocated Vertex Pair Ratio : 0.00911303267229327
Reciprocated Edge Ratio : 0.0180614705731438
Connected Components : 655
Single-Vertex Connected Components : 312
Maximum Vertices in a Connected Component : 13899
Maximum Edges in a Connected Component : 21020
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.291343
Graph Density : 8.10307702718747E-05
Modularity : 0.608823
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 15,509 Twitter users whose recent tweets contained "dataviz since:2020-11-23 until:2020-11-30", 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, 30 November 2020 at 12:25 UTC.

The tweets in the network were tweeted over the 6-day, 19-hour, 18-minute period from Monday, 23 November 2020 at 04:20 UTC to Sunday, 29 November 2020 at 23:39 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 since:2020-11-23 until:2020-11-30
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:
[10511] https://twitter.com/TerriDrawsStuff/status/1331362372179554304
[226] https://t.co/V2Zn2HhD6m?amp=1
[213] https://data2.unhcr.org/en/dataviz/144
[186] https://www.insee.fr/fr/statistiques/4931039?sommaire=4487854
[167] https://www.reddit.com/r/dataisbeautiful/comments/k0w4mj/oc_child_mortality_has_fallen_life_expectancy_has/
[137] https://www.pnas.org/content/116/36/17753/tab-figures-data
[136] https://www.bigbookofr.com/index.html
[103] https://www.bbc.com/news/live/world-africa-47639452?ns_mchannel=social&ns_source=twitter&ns_campaign=bbc_live&ns_linkname=5fbf2d23fe66a902d10047ce%26Troops%20'stopping'%20civilians%20fleeing%20fighting%20in%20Ethiopia%262020-11-26T04:33:21.924Z&ns_fee=0&pinned_post_locator=urn:asset:53dd9e74-0dc2-45a8-96eb-87324d164258&pinned_post_asset_id=5fbf2d23fe66a902d10047ce&pinned_post_type=share
[102] https://www.datanami.com/2020/11/25/the-maturation-of-data-science/
[91] https://www.redbubble.com/i/t-shirt/Data-Scientist-by-Profession-Dog-Lover-by-Nature-by-abdi9/63400958.XNZKR

Top URLs in Tweet in G1:
[10437] https://twitter.com/TerriDrawsStuff/status/1331362372179554304
[3] https://twitter.com/kate_ptrv/status/1332398737604431874
[1] https://tweetedtimes.com/v/11553?s=tnp
[1] https://tweetedtimes.com/topic/rtkrum/cool-infographics-people?s=tnp
[1] https://threadreaderapp.com/thread/1332398737604431874.html
[1] https://twitter.com/kate_ptrv/status/1332475475726381056
[1] https://tweetedtimes.com/v/1745?s=tnp
[1] https://tweetedtimes.com/scotsbob?s=tnp
[1] https://tweetedtimes.com/v/1902?s=tnp
[1] https://tweetedtimes.com/BradBennett?s=tnp

Top URLs in Tweet in G2:
[100] https://www.datanami.com/2020/11/25/the-maturation-of-data-science/
[91] https://www.redbubble.com/i/t-shirt/Data-Scientist-by-Profession-Dog-Lover-by-Nature-by-abdi9/63400958.XNZKR
[68] https://www.analyticsinsight.net/top-6-machine-learning-trends-of-2021/
[63] https://www.techrepublic.com/article/dive-into-python-and-ai-with-this-online-training-bundle/
[58] https://ourcodingclub.github.io/tutorials/dataviz-beautification-synthesis/
[55] https://analyticsindiamag.com/top-free-ai-data-science-courses-launched-in-2020/
[54] https://dataconomy.com/2020/09/guide-to-your-future-data-scientist-salary/
[52] https://www.geospatialworld.net/blogs/why-is-python-a-perfect-choice-for-big-data/
[49] https://www.datacamp.com/?tap_a=5644-dce66f&tap_s=863438-625f1b&utm_medium=affiliate&utm_source=abdisalambarre
[47] https://www.arnnet.com.au/article/684768/how-secure-your-ai-machine-learning-projects/

Top URLs in Tweet in G3:
[164] https://www.reddit.com/r/dataisbeautiful/comments/k0w4mj/oc_child_mortality_has_fallen_life_expectancy_has/
[133] https://www.pnas.org/content/116/36/17753/tab-figures-data
[46] https://www.reddit.com/r/dataisbeautiful/comments/jxgm1y/oc_a_better_way_to_visualize_us_election_results/
[16] https://twitter.com/TerriDrawsStuff/status/1331362372179554304
[12] https://www.zeit.de/wissen/gesundheit/2020-11/corona-ausbreitung-deutschland-region-hotspot-neuinfektion-karte?utm_medium=sm&utm_content=zeitde_redpost+_link_sf&utm_campaign=ref&utm_source=twitter_zonaudev_int&wt_zmc=sm.int.zonaudev.twitter.ref.zeitde.redpost.link.sf&utm_referrer=twitter
[9] https://www.reddit.com/r/dataisbeautiful/comments/k08idu/jeopardy_daily_double_heatmap_oc/
[7] https://www.zeit.de/zustimmung?url=https%3A%2F%2Fwww.zeit.de%2Fwissen%2Fgesundheit%2F2020-11%2Fcoronavirus-aerosols-infection-risk-hotspot-interiors
[6] https://www.reddit.com/r/dataisbeautiful/comments/k2yitw/oc_visualization_of_switzerlands_population/
[6] https://twitter.com/kate_ptrv/status/1332398737604431874
[5] https://www.reddit.com/r/dataisbeautiful/comments/jv0wf4/oc_visualizing_covid19_deaths_as_spheres_in_a_tank/

Top URLs in Tweet in G4:
[226] https://t.co/V2Zn2HhD6m?amp=1
[187] https://data2.unhcr.org/en/dataviz/144
[103] https://www.bbc.com/news/live/world-africa-47639452?ns_mchannel=social&ns_source=twitter&ns_campaign=bbc_live&ns_linkname=5fbf2d23fe66a902d10047ce%26Troops%20'stopping'%20civilians%20fleeing%20fighting%20in%20Ethiopia%262020-11-26T04:33:21.924Z&ns_fee=0&pinned_post_locator=urn:asset:53dd9e74-0dc2-45a8-96eb-87324d164258&pinned_post_asset_id=5fbf2d23fe66a902d10047ce&pinned_post_type=share
[3] https://calendly.com/truth-and-beauty/climate-dataviz
[2] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=242165
[1] https://twitter.com/Sally_Keeble/status/1332089799637872642

Top URLs in Tweet in G5:
[41] https://twitter.com/kate_ptrv/status/1332398737604431874
[25] https://bryanwhiting.github.io/dsnews/
[18] https://data2.unhcr.org/en/dataviz/144
[12] https://www.letelegramme.fr/static/ftp/dossier/data/dataviz/courses-en-direct.php
[8] https://sdfanalytics.com/subscribe-energy/
[8] http://track.fiverr.com/visit/?bta=34119&nci=5497&campaign=685161&landingPage=http%3A%2F%2Fwww.fiverr.com%2Fnhshapiro%2Fcreate-google-data-studio-dashboards-and-reports
[8] http://track.fiverr.com/visit/?bta=34119&nci=5497&campaign=685161&landingPage=http%3A%2F%2Fwww.fiverr.com%2Fnhshapiro
[7] https://twitter.com/undertheraedar/status/1332733136715780096
[5] https://www.chi2innovations.com/blog/discover-visualisation-blog-series/the-one-sure-fire-path-to-the-best-data-visualisation/
[4] https://www.chi2innovations.com/graphs-dont-lie-book/

Top URLs in Tweet in G6:
[119] https://www.bigbookofr.com/index.html
[20] https://threadreaderapp.com/thread/1332398737604431874.html
[10] https://twitter.com/TerriDrawsStuff/status/1331362372179554304
[5] https://www.reddit.com/r/dataisbeautiful/comments/k0segs/sunsetsunrise_times_in_europe_summerwinter_oc/
[4] https://www.bloomberg.com/news/articles/2020-11-23/millions-of-americans-expect-to-lose-their-homes-as-covid-rages
[3] https://www.reddit.com/r/dataisbeautiful/comments/k1f3ws/oc_the_top_20_resume_keywords_from19786_resumes/
[3] https://www.reddit.com/r/dataisbeautiful/comments/k1gt0n/oc_popular_vote_margin_of_elected_us_presidents/
[3] https://www.reddit.com/r/dataisbeautiful/comments/k28rhn/negative_reviews_for_the_most_popular_scented/
[2] https://twitter.com/ojblanchard1/status/1331952292883533824
[2] https://www.reddit.com/r/dataisbeautiful/comments/5bkiqh/percentage_of_white_people/?utm_source=ifttt

Top URLs in Tweet in G7:
[9] https://twitter.com/bill_gardner/status/1332687083547275271
[4] https://www.youtube.com/watch?v=Ldt5WGTZyQ4

[4] https://github.com/rladies/meetup-presentations_freiburg/tree/master/2020-11-Visualizing%20geographical%20data%20-%20Reloaded
[3] https://www.linkedin.com/slink?code=dSrpEF6
[2] https://www.linkedin.com/slink?code=d2tNa7i
[2] https://www.linkedin.com/slink?code=dh-CCqh
[2] https://www.linkedin.com/slink?code=dTJsvW7
[2] https://www.7wdata.be/devops/enterprise-database-selection-most-often-led-by-system-architects/?utm_source=twitter&utm_medium=7wdata&utm_campaign=mp-rss-20-7wBlog
[2] https://www.7wdata.be/x/aHR0cHM6Ly93d3cuN3dkYXRhLmJlL2Rldm9wcy9lbnRlcnByaXNlLWRhdGFiYXNlLXNlbGVjdGlvbi1tb3N0LW9mdGVuLWxlZC1ieS1zeXN0ZW0tYXJjaGl0ZWN0cy8=/aHR0cHM6Ly85OTE4MS0yODIwNDQtcmFpa2ZjcXVheHFuY29mcWZtLnN0YWNrcGF0aGRucy5jb20vd3AtY29udGVudC91cGxvYWRzLzIwMjAvMTEvYTliYjM4YTQtcGVyY29uYTQucG5n/RW50ZXJwcmlzZSBEYXRhYmFzZSBTZWxlY3Rpb24gTW9zdCBPZnRlbiBMZWQgYnkgU3lzdGVtIEFyY2hpdGVjdHMgICA=/Rm9yZ2V0IGRldmVsb3BlcnMsIHRvZGF54oCZcyBraW5nbWFrZXJzIGFyZSBjYWxsZWQgYXJjaGl0ZWN0cywgYW5kIHN0dWRpZXMgY29udGludWUgdG8gaW5kaWNhdGUgdGhhdCBkaWZmZXJlbnQgdGVjaG5vbG9naWVzIGFyZSBhZG9wdGVkIGlmIGFyY2hpdGVjdHPigJkgcHJlZmVyZW5jZXMgYXJlIGZvbGxvd2VkLgoKQSBwcmltZSA=
[1] https://www.linkedin.com/slink?code=dFQmUwb

Top URLs in Tweet in G8:
[185] https://www.insee.fr/fr/statistiques/4931039?sommaire=4487854
[2] https://twitter.com/TerriDrawsStuff/status/1331362372179554304
[1] https://www.reddit.com/r/dataisbeautiful/comments/jxgm1y/oc_a_better_way_to_visualize_us_election_results/

Top URLs in Tweet in G9:
[19] https://data-viz.nesta.org.uk/career-causeways/index.html
[10] https://ig.ft.com/coronavirus-global-data/
[10] https://observablehq.com/@joewdavies/coronavirus-time-animation-map
[9] https://www.ft.com/content/933f56c6-0843-4609-ae97-8d7f1815480e
[8] http://propolis.io/dataviz/covid19/msoa_cases/covid_map.html
[8] http://omms.nic.in
[5] https://www.instagram.com/tiz.alocci/
[5] http://carolinebeavon.com/infographic-christmas-cards/
[4] https://warninggraphiccontent.tumblr.com/post/635921484744966144/27-november-2020
[3] https://www.youtube.com/watch?v=9473Sr7l8iY&feature=youtu.be


Top URLs in Tweet in G10:
[58] https://www.federalreserve.gov/releases/z1/dataviz/dfa/compare/chart/#frb-rs-dfa-table
[22] https://www.contexte.com/article/pouvoirs/que-deviennent-les-mesures-proposees-par-la-convention-citoyenne-sur-le-climat_121360.html
[5] https://newsimpact.io/
[5] https://twitter.com/yannguegan/status/1331180804630786048
[3] https://twitter.com/TerriDrawsStuff/status/1331362372179554304
[3] https://www.youtube.com/watch?v=5sTNxNubuc4

[3] https://twitter.com/datajournalism/status/1330845755259629569
[2] https://www.youtube.com/watch?v=5sTNxNubuc4&feature=emb_title

[1] https://twitter.com/steveliesman/status/1331569903581745153
[1] https://www.insee.fr/fr/statistiques/4931039?sommaire=4487854

Top Domains
Top Domains in Tweet in Entire Graph:
[11332] twitter.com
[420] medium.com
[302] reddit.com
[226] t.co
[213] unhcr.org
[186] insee.fr
[184] github.com
[151] github.io
[137] pnas.org
[136] bigbookofr.com

Top Domains in Tweet in G1:
[10442] twitter.com
[7] tweetedtimes.com
[1] threadreaderapp.com

Top Domains in Tweet in G2:
[404] medium.com
[387] twitter.com
[151] github.com
[133] analyticsindiamag.com
[100] datanami.com
[97] analyticsinsight.net
[95] techrepublic.com
[91] redbubble.com
[87] github.io
[76] tableau.com

Top Domains in Tweet in G3:
[252] reddit.com
[133] pnas.org
[28] twitter.com
[19] zeit.de
[2] piste.io
[1] github.com
[1] mediapart.fr
[1] bah.com

Top Domains in Tweet in G4:
[226] t.co
[187] unhcr.org
[103] bbc.com
[3] calendly.com
[2] nodexlgraphgallery.org
[1] twitter.com

Top Domains in Tweet in G5:
[136] twitter.com
[27] github.io
[19] economist.com
[18] unhcr.org
[16] fiverr.com
[14] letelegramme.fr
[14] thebubbleboard.com
[12] coviz.org
[9] chi2innovations.com
[8] medium.com

Top Domains in Tweet in G6:
[119] bigbookofr.com
[37] reddit.com
[20] threadreaderapp.com
[18] twitter.com
[4] bloomberg.com
[2] github.com
[2] datanami.com
[2] gv.at
[1] github.io
[1] behance.net

Top Domains in Tweet in G7:
[12] linkedin.com
[10] twitter.com
[5] youtube.com
[5] github.com
[4] 7wdata.be
[1] pnas.org

Top Domains in Tweet in G8:
[185] insee.fr
[2] twitter.com
[1] reddit.com

Top Domains in Tweet in G9:
[19] ft.com
[19] org.uk
[10] observablehq.com
[9] propolis.io
[8] nic.in
[8] twitter.com
[5] instagram.com
[5] carolinebeavon.com
[4] github.com
[4] tumblr.com

Top Domains in Tweet in G10:
[58] federalreserve.gov
[22] contexte.com
[14] twitter.com
[8] youtube.com
[5] newsimpact.io
[1] insee.fr
[1] meetup.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[15639] dataviz
[1948] datascience
[1548] machinelearning
[1449] python
[1325] rstats
[1315] ai
[946] 100daysofcode
[582] bigdata
[510] artificialintelligence
[508] dataanalytics



Top Hashtags in Tweet in G1:
[10441] dataviz
[1] bigdata
[1] open
[1] ilovedata
[1] correlation
[1] causation
[1] covid19
[1] pandemic

Top Hashtags in Tweet in G2:
[2194] dataviz
[1789] datascience
[1529] machinelearning
[1381] python
[1294] ai
[940] 100daysofcode
[921] rstats
[552] bigdata
[506] artificialintelligence
[491] javascript

Top Hashtags in Tweet in G3:
[429] dataviz
[133] dating
[133] marriage
[46] election2020
[20] covid19
[12] coronavirus
[5] switzerland
[5] pandemic
[2] osm
[2] sig

Top Hashtags in Tweet in G4:
[195] tigray
[190] sudan
[108] ethiopia
[36] tigraygenocide
[25] stopwarontigray
[24] unsc
[20] stopabiy
[5] refugees
[5] civilwar
[5] warcrimes

Top Hashtags in Tweet in G5:
[368] dataviz
[34] data
[32] covid19
[31] datascience
[17] datavisualization
[17] coronavirus
[17] googledatastudio
[17] reviews
[16] unsc
[16] stopwarontigray

Top Hashtags in Tweet in G6:
[119] rstats
[110] dataviz
[17] covid19
[14] plottertwitter
[3] machinelearning
[3] python
[3] cosponsorship
[3] networkscience
[3] croatia
[2] datascience

Top Hashtags in Tweet in G7:
[211] dataviz
[184] rstats
[178] maps
[151] gis
[29] violenceagainstwomen
[29] violencesfaitesauxfemmes
[9] census
[8] arcgis
[8] esri
[7] map

Top Hashtags in Tweet in G8:
[188] dataviz
[185] décès
[1] election2020

Top Hashtags in Tweet in G9:
[186] dataviz
[94] 30daymapchallenge
[31] python
[21] gistribe
[20] maps
[18] covid19
[13] rspatial
[13] b3d
[13] gis
[13] cartography

Top Hashtags in Tweet in G10:
[19] dataviz
[6] nisdata
[5] datajournalism
[3] data
[2] covid19
[2] datajournalisme
[1] décès
[1] ddj
[1] sigmas2021
[1] datavisualisation

Top Words
Top Words in Tweet in Entire Graph:
[16970] #dataviz
[10751] 19
[10729] covid
[10630] fun
[10596] past
[10586] tweet
[10577] pandemic
[10571] scented
[10567] candles
[10549] unexpected

Top Words in Tweet in G1:
[10443] candles
[10442] scented
[10441] #dataviz
[10439] covid
[10438] couldn
[10438] walk
[10438] past
[10438] tweet
[10438] fun
[10438] unexpected

Top Words in Tweet in G2:
[3477] #dataviz
[2206] #datascience
[1935] #100daysofcode
[1919] #rstats
[1879] #machinelearning
[1871] #python
[1591] #ai
[1399] #javascript
[1367] #womenwhocode
[1359] data

Top Words in Tweet in G3:
[431] #dataviz
[368] source
[326] using
[168] data
[166] world
[166] gapminder
[165] gotten
[164] ways
[164] shown
[163] several

Top Words in Tweet in G4:
[631] refugees
[417] children
[274] sudan
[227] people
[226] 45
[226] entering
[226] infants
[226] lost
[226] parents
[226] massacre

Top Words in Tweet in G5:
[369] #dataviz
[75] data
[53] dataviz
[46] more
[38] see
[34] #data
[32] #covid19
[32] refugees
[31] #datascience
[31] need

Top Words in Tweet in G6:
[122] dataviz
[121] #rstats
[119] lots
[119] free
[119] online
[119] books
[119] organized
[119] categories
[119] geospatial
[119] machine

Top Words in Tweet in G7:
[417] 11
[278] top
[211] #dataviz
[184] #rstats
[178] #maps
[168] 2019
[151] #gis
[141] population
[141] 2014
[140] 19

Top Words in Tweet in G8:
[370] nombre
[188] #dataviz
[185] mise
[185] jour
[185] #décès
[185] décès
[185] quotidiens
[185] 2020
[185] comparés
[185] aux

Top Words in Tweet in G9:
[189] #dataviz
[94] #30daymapchallenge
[67] data
[61] day
[59] made
[54] state
[52] nytgraphics
[48] map
[43] covid
[34] 19

Top Words in Tweet in G10:
[116] owns
[116] trillion
[59] top
[59] 14
[58] bottom
[58] 50
[58] 16
[58] stocks
[58] 04
[28] reprises

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[10598] covid,19
[10565] scented,candles
[10545] fun,#dataviz
[10544] candles,unexpected
[10544] unexpected,victim
[10539] #dataviz,scented
[10537] couldn,walk
[10537] walk,past
[10537] past,tweet
[10537] tweet,fun

Top Word Pairs in Tweet in G1:
[10442] scented,candles
[10438] couldn,walk
[10438] walk,past
[10438] past,tweet
[10438] tweet,fun
[10438] fun,#dataviz
[10438] #dataviz,scented
[10438] candles,unexpected
[10438] unexpected,victim
[10438] victim,covid

Top Word Pairs in Tweet in G2:
[994] #machinelearning,#datascience
[963] #ai,#100daysofcode
[961] #100daysofcode,#devcommunity
[961] #cybersecurity,#rstats
[957] #javascript,#serverless
[954] #flutter,#javascript
[945] #devcommunity,#iot
[927] #python,#ai
[907] #iot,#flutter
[893] #datascience,#python

Top Word Pairs in Tweet in G3:
[198] #dataviz,source
[165] gapminder,data
[163] several,ways
[163] ways,world
[163] world,gotten
[163] gotten,better
[163] better,shown
[163] shown,using
[163] using,series
[163] series,animated

Top Word Pairs in Tweet in G4:
[226] refugees,entering
[226] infants,children
[226] children,lost
[226] lost,parents
[226] massacre,people
[226] waiting,world
[226] world,take
[226] take,action
[225] parents,abiyahmedali's
[225] abiyahmedali's,massacre

Top Word Pairs in Tweet in G5:
[26] #dataviz,see
[25] see,more
[19] graphic,detail
[19] detail,#dataviz
[16] humanitarian,crisis
[16] continues,worsen
[16] stopping,refugees
[16] refugees,crossing
[16] crossing,sudan
[16] sudan,steep

Top Word Pairs in Tweet in G6:
[119] lots,free
[119] free,online
[119] online,#rstats
[119] #rstats,books
[119] books,organized
[119] organized,categories
[119] categories,geospatial
[119] geospatial,machine
[119] machine,learning
[119] learning,dataviz

Top Word Pairs in Tweet in G7:
[144] #dataviz,#rstats
[139] mapped,population
[139] population,change
[139] change,between
[139] between,2014
[139] 2014,2019
[139] 2019,top
[139] top,declining
[139] declining,gjirokastër
[139] gjirokastër,14

Top Word Pairs in Tweet in G8:
[185] mise,jour
[185] jour,nombre
[185] nombre,#décès
[185] #décès,nombre
[185] nombre,décès
[185] décès,quotidiens
[185] quotidiens,2020
[185] 2020,comparés
[185] comparés,aux
[185] aux,cinq

Top Word Pairs in Tweet in G9:
[50] #30daymapchallenge,day
[34] covid,19
[26] today's,#dataviz
[26] #dataviz,american
[26] american,pandemic
[24] #python,#dataviz
[24] pandemic,november
[24] november,laurenleatherby
[24] laurenleatherby,evolution
[24] evolution,county

Top Word Pairs in Tweet in G10:
[58] bottom,50
[58] 50,owns
[58] owns,16
[58] 16,trillion
[58] trillion,stocks
[58] stocks,top
[58] top,owns
[58] owns,14
[58] 14,04
[58] 04,trillion

Top Replied-To
Top Replied-To in Entire Graph:
@vicgovdhhs
@_scientistt
@zittokabwe
@cedscherer
@dataviz_
@kate_ptrv
@doctorwho80
@aainslie
@juliefryer
@maxcroser

Top Replied-To in G1:
@kate_ptrv
@libbybeer

Top Replied-To in G2:
@_scientistt
@cedscherer
@karim_douieb
@lisacrost
@amanda_patist
@ashenkin
@m_eerens
@lowers_ryan
@a_j_dataviz
@albertocairo

Top Replied-To in G4:
@zittokabwe
@wallacemick
@janezlenarcic
@rabdianalyst
@filippograndi
@abdusefkr
@melkamumrd

Top Replied-To in G6:
@juliefryer
@aainslie
@catrihel
@pinuspalustris
@alicelander
@yeomaine
@hiddenpinky
@phillipbrandon
@bogosian
@krzy32

Top Replied-To in G9:
@maxcroser

Top Mentioned
Top Mentioned in Entire Graph:
@abiyahmedali
@un
@hrw
@genocide_watch
@gapminder
@oscarbaruffa
@refugees
@bioconductor
@our_codingclub
@spirosmargaris

Top Mentioned in G1:
@kate_ptrv

Top Mentioned in G2:
@our_codingclub
@spirosmargaris
@tableaupublic
@mvollmer1
@sourabhskatoch
@ingliguori
@jblefevre60
@yuhelenyu
@haroldsinnott
@enricomolinari

Top Mentioned in G3:
@gapminder
@jeopardy
@zeitonline
@drgregmartin

Top Mentioned in G4:
@abiyahmedali
@un
@hrw
@genocide_watch
@refugees
@eco1start
@ourfuturebot
@jane__eden
@mikehudema

Top Mentioned in G6:
@oscarbaruffa
@kate_ptrv
@paulrickards
@vesnav
@criplescintilla
@velimirgasp
@lluis_revilla
@apreshill
@zwbetz

Top Mentioned in G9:
@nytgraphics
@laurenleatherby
@postgraphics
@matplotlib
@nesta_uk
@silla_abrasax
@kanderskarlis
@d_jyldyz
@gebarnett1002
@jackorlik

Top Mentioned in G10:
@contexte
@karenbastienok
@ejcnet
@mariano_zafra
@kikollan
@we_do_data
@el_pais
@anouchka
@alphoenix
@yannguegan

Top Tweeters
Top Tweeters in Entire Graph:
@missb62
@sectest9
@republikaonline
@odio_nao
@threadreaderapp
@edinburghwatch
@robre62
@javascriptd
@chidambara09
@aaroncuddeback

Top Tweeters in G1:
@gojira007x
@katcapps
@asher_wolf
@moreandagain
@jhamby
@amyayers16
@cwharlow
@estarianne
@book___whore
@mwhalan

Top Tweeters in G2:
@sectest9
@javascriptd
@chidambara09
@aaroncuddeback
@femtech_
@rosenchild
@xaelbot
@codedailybot
@tess_blue815
@fintechna

Top Tweeters in G3:
@britpoptarts
@rnitsch
@ansisegle
@nvania
@tbluvoter
@dirac7
@asemota
@originaldwoods
@gombang
@gizmomathboy

Top Tweeters in G4:
@msmwatchdog2013
@letsroc137
@wstrohmacher
@cnni
@ourfuturebot
@franciswashere
@steltenpower
@m_older
@eco1start
@ethiopia_abebe

Top Tweeters in G5:
@iam__network
@biconnections
@tristramwyatt
@topnewsites
@perrette56
@ashpags
@mkramer
@herodote1789
@lalehkhalili
@rimwellc

Top Tweeters in G6:
@threadreaderapp
@santchiweb
@sdreyse
@ayirpelle
@pearsawfly
@cd_fuller
@timparenti
@conorsen
@arjanvandermeij
@aainslie

Top Tweeters in G7:
@_l17r_
@nomoreslaves
@7wdata
@svencjohn_steve
@leptiricms
@briansj3
@psiionicvii
@jumalatuoni
@tomdrabowicz
@facecjonista

Top Tweeters in G8:
@meruemgi
@breizh2008
@radiolondres6
@moniquedhooghe
@jmbpas1
@hdjebar
@guzmanlaetitia
@astropierre
@ph7831
@leclercfl

Top Tweeters in G9:
@robre62
@waweru
@njdoc
@alykhansatchu
@karolabq
@thecut
@bigtopapps
@toudajew
@geographerdc
@kraus_read

Top Tweeters in G10:
@odio_nao
@_redfrog
@el_pais
@wmn4srvl
@phil_free_
@canalguada
@aveilleur
@faidr
@dwprice
@gregfingas


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