The graph represents a network of 6,655 Twitter users whose recent tweets contained "dataviz OR datavis", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Thursday, 29 July 2021 at 13:10 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 9-minute period from Wednesday, 21 July 2021 at 11:00 UTC to Thursday, 29 July 2021 at 12:09 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
Vertices : 6655
Unique Edges : 13497
Edges With Duplicates : 4095
Total Edges : 17592
Number of Edge Types : 5
Retweet : 7471
MentionsInRetweet : 6846
Mentions : 1564
Tweet : 1459
Replies to : 252
Self-Loops : 1541
Reciprocated Vertex Pair Ratio : 0.0136208026804574
Reciprocated Edge Ratio : 0.0268755389479736
Connected Components : 547
Single-Vertex Connected Components : 246
Maximum Vertices in a Connected Component : 5240
Maximum Edges in a Connected Component : 15621
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.879284
Graph Density : 0.000314255989460365
Modularity : 0.659953
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,655 Twitter users whose recent tweets contained "dataviz OR datavis", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Thursday, 29 July 2021 at 13:10 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 9-minute period from Wednesday, 21 July 2021 at 11:00 UTC to Thursday, 29 July 2021 at 12:09 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
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 URLs in Tweet in Entire Graph:
[1085] https://www.ft.com/content/0f11b219-0f1b-420e-8188-6651d1e749ff [561] https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/chart/#quarter:126;series:Net%20worth;demographic:networth;population:1,3,5,7;units:levels;range:1989.3,2021.1 [203] https://www.datasciencecentral.com/profiles/blogs/free-2-900-page-book-about-pandas [144] https://blog.datawrapper.de/in-defense-of-simple-charts/ [116] https://github.com/Mike-Honey/covid-19-outbreak-paths#readme [114] https://github.com/BirkoRuzicka/Star-Trek-Dialogue-Analysis [98] https://www.reddit.com/r/dataisbeautiful/comments/os2gmd/oc_symptomatic_breakthrough_covid19_infections/ [67] https://griddb.net/en/blog/tracking-air-quality-in-los-angeles-with-griddb-tableau/ [59] https://www.newscareers.co.uk/vacancies/1275/data-visualisation-graduate-trainee-scheme.html [50] https://kepler.gl/ Top URLs in Tweet in G1:
[201] https://www.datasciencecentral.com/profiles/blogs/free-2-900-page-book-about-pandas [128] https://blog.datawrapper.de/in-defense-of-simple-charts/ [42] https://awesome-panel.org/ [40] https://wmk-tech.net/blog/data-analyst-1627544764 [33] https://app.livestorm.co/compatibility?compatibility=false&src=registration&url=https%3A%2F%2Fapp.livestorm.co%2Fopenteams%2Fintroduction-to-holoviz%3Ftype%3Ddetailed [31] https://blog.nerdjfpb.com/project-ideas-for-python-beginners-to-expert/ [31] https://blog.datawrapper.de/data-vis-dispatch-july-27-2021/ [31] https://www.datasciencecentral.com/profiles/blogs/five-graphs-that-show-cause-and-effect [24] https://successanalytics.blogspot.com/ [23] https://kpress.dev/blog/2021-07-26-tidy-tuesday-olympic-medals/ Top URLs in Tweet in G2:
[1061] https://www.ft.com/content/0f11b219-0f1b-420e-8188-6651d1e749ff [7] https://twitter.com/jburnmurdoch/status/1418952154342166539 [2] https://www.ft.com/content/335ec7ec-0162-456b-a495-278878354fd2?shareType=nongift [1] https://github.com/nalgeon/dataviz [1] https://kpress.dev/blog/2021-07-26-tidy-tuesday-olympic-medals/ [1] https://blog.datawrapper.de/in-defense-of-simple-charts/ [1] https://scitechdaily.com/how-ai-falsifies-satellite-images-a-growing-problem-of-deepfake-geography/ [1] https://consent.youtube.com/m?continue=https%3A%2F%2Fyoutube.com%2Fplaylist%3Flist%3DPL5kIQRQ6TU8IC2XtyjOX7B9eVTA_D_EJK&gl=DE&m=0&pc=yt&uxe=23983172&hl=de&src=1 [1] https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/chart/#quarter:126;series:Net%20worth;demographic:networth;population:1,3,5,7;units:levels;range:1989.3,2021.1 Top URLs in Tweet in G3:
[559] https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/chart/#quarter:126;series:Net%20worth;demographic:networth;population:1,3,5,7;units:levels;range:1989.3,2021.1 Top URLs in Tweet in G4:
[33] https://bryanwhiting.github.io/dsnews/ [9] https://www.economist.com/graphic-detail/2021/03/15/young-people-stand-to-make-dismal-returns-on-their-investments [8] https://www.economist.com/graphic-detail/2021/04/06/the-imf-boosts-global-growth-forecasts-for-the-second-time-this-year [8] https://www.economist.com/graphic-detail/tracking-coronavirus-across-the-world [8] https://www.economist.com/graphic-detail/2021/01/29/why-penalties-are-becoming-more-common-in-elite-football [5] https://twitto.be [5] https://www.couponed12.com/2021/07/building-data-visualization-tools.html [4] https://twinybots.ch/ [3] https://www.youtube.com/watch?v=FlIlX88hV7c&feature=youtu.be [3] https://groupe-sunergia.com/market-insights/top-of-mind-2021-notoriete-marques-automobiles-maroc/ Top URLs in Tweet in G5:
[116] https://github.com/Mike-Honey/covid-19-outbreak-paths#readme [13] https://github.com/Mike-Honey/covid-19-world-vaccinations#readme [11] https://github.com/Mike-Honey/covid-19-genomes#readme [9] https://twitter.com/i/spaces/1lPJqXmOdklGb [7] https://microreact.org/ [7] https://github.com/Mike-Honey/covid-19-au-vaccinations#readme [7] https://odileeds.github.io/covid-19/LocalAuthorities/cases [6] https://github.com/Mike-Honey/covid-19-au-hq-breaches#readme [5] https://nextstrain.org/ [5] https://www.ft.com/content/0f11b219-0f1b-420e-8188-6651d1e749ff Top URLs in Tweet in G6:
[57] https://griddb.net/en/blog/tracking-air-quality-in-los-angeles-with-griddb-tableau/ [18] https://www.shorturl.at/jlqI6 [17] https://docs.google.com/forms/d/e/1FAIpQLSf8PMdf4u0AH2I2nn5gFKygE0rW3VGrqk5Dj2w9MHd7cpmRBw/viewform?usp=send_form [8] https://griddb.net/en/blog/geospatial-querying-using-geohashes-and-griddb/ [8] http://www.workout-wednesday.com/pbi-2021-w29/ [8] http://www.workout-wednesday.com/2021w29tab/ [8] https://preppindata.blogspot.com/2021/07/2021-week-29-pd-x-wow-tokyo-2020.html [7] https://griddb.net/en/blog/stock-market-analysis-with-python-pandas-plotly-and-griddb/ [6] https://twitter.com/tableau/status/1418662137782624256 [5] https://public.tableau.com/app/profile/mokwinski/viz/MakeoverMonday21_30-AmericasRacialBreakdown/AmericasRacialBreakdown?publish=yes Top URLs in Tweet in G7:
[84] https://www.reddit.com/r/dataisbeautiful/comments/os2gmd/oc_symptomatic_breakthrough_covid19_infections/ [38] https://www.reddit.com/r/dataisbeautiful/comments/okww3b/average_colors_of_the_world/ [8] https://twitter.com/plotparade/status/1419373968285388802 [4] https://www.reddit.com/r/dataisbeautiful/comments/orjppg/oc_gold_medalwinning_times_in_the_mens_100m/ [4] https://blog.datawrapper.de/in-defense-of-simple-charts/ [3] https://zebrabi.com/newsletter/?utm_content=174269369&utm_medium=social&utm_source=twitter&hss_channel=tw-2308072009 [3] https://twitter.com/axios/status/1418660161221275650 [2] https://www.reddit.com/r/dataisbeautiful/comments/jslbn9/us_elevation_tiles_oc/ [2] https://www.reddit.com/r/dataisbeautiful/comments/o0r8ai/oc_relative_frequency_of_words_in_economics/ [2] https://twitter.com/KerryKolosko/status/1413107353705013252 Top URLs in Tweet in G8:
[40] https://kepler.gl/ [40] https://github.com/giswqs/leafmap [40] https://github.com/davemlz/spectral [29] https://github.com/davemlz/spectral/blob/main/examples/spectral-example-1-attributes.js [11] https://geoobserver.wordpress.com/2021/07/28/qgis-tipp-hochwasserrisiko-ermitteln/ [10] https://reaflow.dev [8] https://bluegreenlabs.org/post/map-building-3/ [5] https://umiami.wd1.myworkdayjobs.com/en-US/UMFaculty/job/Coral-Gables-FL/Lecturer--Front-End-Development--Data-Visualization-and-Interactive-Visualization_R100047899 [4] https://leafmap.org/notebooks/26_kepler_gl/ [4] https://geoobserver.wordpress.com/2021/07/21/gis-lounge-open-source-web-gis-guide/ Top URLs in Tweet in G9:
[8] https://www.atlanticcouncil.org/cbdctracker/ [7] https://www.reddit.com/r/dataisbeautiful/comments/os2gmd/oc_symptomatic_breakthrough_covid19_infections/ [6] https://showcase.predictia.es/weather-radials [5] https://www.reddit.com/r/dataisbeautiful/comments/opmx7a/oc_the_delta_variant_has_become_prevalent_since/ [5] https://storymaps.arcgis.com/stories/188e822478cd45dd91da6bbced819341 [4] https://twitter.com/i/status/1416677570364551169 [4] https://www.reddit.com/r/dataisbeautiful/comments/or359r/oc_proof_that_students_will_always_wait_until_the/ [3] https://twitter.com/dr_xeo/status/1380113443274039300 [3] https://www.reddit.com/r/dataisbeautiful/comments/op1iqx/oc_languages_by_combined_gdp_of_native_speakers/ [3] https://www.reddit.com/r/dataisbeautiful/comments/oqhkv2/oc_distribution_of_lego_colours/ Top URLs in Tweet in G10:
[10] https://landgeist.com/2021/07/27/household-size/ [8] https://ec.europa.eu/eurostat/cache/infographs/youineu/index_fr.html [5] https://landgeist.com/2021/07/22/olympic-games-host-cities/ [2] https://acleddata.com/acled-resources-europe/ [2] https://statistiques-locales.insee.fr/#c=indicator&i=rp.pt_age0014&s=2018&view=map13 [1] https://github.com/AndyABaker/TidyTuesday [1] https://kepler.gl/ [1] https://github.com/giswqs/leafmap [1] https://pastebin.com/Ep5Xd0fW [1] https://www.ft.com/content/0f11b219-0f1b-420e-8188-6651d1e749ff Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1122] trillion,poorest [1122] poorest,50 [1122] 50,trillion [1122] trillion,wealth [1107] great,#dataviz [1102] impact,of [1086] jburnmurdoch,ft [1085] lifesaving,impact [1085] of,full [1085] full,vaccination Top Word Pairs in Tweet in G1:
[961] #ml,#nlp [872] #datascientists,#analytics [862] #100daysofcode,#dataviz [795] #bigdata,#rstats [794] #analytics,#bigdata [755] #tensorflow,#coding [745] #rstats,#ai [667] #iiot,#ml [660] #data,#datascience [660] #ai,#reactjs Top Word Pairs in Tweet in G2:
[1062] jburnmurdoch,ft [1061] lifesaving,impact [1061] impact,of [1061] of,full [1061] full,vaccination [1061] vaccination,log [1061] log,plot [1061] plot,graph [1061] graph,age [1061] age,mroliverbarnes Top Word Pairs in Tweet in G3:
[1118] trillion,poorest [1118] poorest,50 [1118] 50,trillion [1118] trillion,wealth [559] wealth,1991 [559] 1991,richest [559] richest,trillion [559] wealth,2021 [559] 2021,richest [559] richest,41 Top Word Pairs in Tweet in G4:
[34] see,more [33] graphic,detail [33] detail,#dataviz [33] #dataviz,see [17] data,visualization [12] covid,19 [12] #coronavirus,#stayhome [12] #stayhome,#dataviz [12] #dataviz,#flattenthecurve [12] #flattenthecurve,#datascience Top Word Pairs in Tweet in G5:
[142] interactive,dataviz [131] covid,19 [125] july,2021 [117] 19,outbreak [116] dataviz,of [116] current,covid [115] outbreak,paths [115] paths,update [115] of,infection [75] outbreak,reff Top Word Pairs in Tweet in G6:
[65] read,here [57] analyzed,air [57] air,quality [57] quality,data [57] data,gathered [57] gathered,epa [57] epa,#la [57] #la,county [57] county,see [57] see,effects Top Word Pairs in Tweet in G7:
[130] #dataviz,source [84] symptomatic,breakthrough [84] breakthrough,#covid19 [84] #covid19,infections [84] infections,#pandemic [84] #pandemic,#dataviz [50] #tokyo2020,#olympics [50] #chart,#dataviz [38] average,terrain [38] terrain,color Top Word Pairs in Tweet in G8:
[109] spectral,indices [69] hey,#googleearthengine [69] #googleearthengine,enthusiasts [69] #geospatial,#remotesensing [43] #mapping,#jupyter [42] #gis,#dataviz [40] #leafmap,new [40] new,plotting [40] plotting,backend [40] backend,more Top Word Pairs in Tweet in G9:
[110] #rstats,#dataviz [61] climatic,contrasts [61] contrasts,europe [61] europe,#climatecircles [61] #climatecircles,#rstats [42] dónde,calentamos [42] calentamos,refrigeramos [42] refrigeramos,más [42] más,#oladecalor [42] #oladecalor,#rstats Top Word Pairs in Tweet in G10:
[34] source,atlas [34] atlas,français [34] français,laurence [34] laurence,duboys [34] duboys,fresney [34] fresney,edautrement [34] edautrement,2021 [34] 2021,inseefr [34] inseefr,#lecartographe [34] #lecartographe,#dataviz Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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