The graph represents a network of 6,013 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-07-04 until:2022-07-11", 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, 11 July 2022 at 11:05 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 48-minute period from Monday, 04 July 2022 at 00:00 UTC to Sunday, 10 July 2022 at 23:48 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 : 6013
Unique Edges : 11370
Edges With Duplicates : 17950
Total Edges : 29320
Number of Edge Types : 5
Retweet : 13320
Replies to : 1331
MentionsInRetweet : 11626
Mentions : 1987
Tweet : 1056
Self-Loops : 1224
Reciprocated Vertex Pair Ratio : 0.0254971135343169
Reciprocated Edge Ratio : 0.0497263487099296
Connected Components : 411
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 4880
Maximum Edges in a Connected Component : 27499
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.584435
Graph Density : 0.000353802069346533
Modularity : 0.379487
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,013 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-07-04 until:2022-07-11", 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, 11 July 2022 at 11:05 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 48-minute period from Monday, 04 July 2022 at 00:00 UTC to Sunday, 10 July 2022 at 23:48 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:2022-07-04 until:2022-07-11
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[7411] #javascript,#reactjs [7264] #fintech,#insurtech [7167] #datavis,#infosec [6751] #flutter,#html [6723] #infosec,#devops [6689] #wordpress,#security [6666] #html,#azure [6533] #reactjs,#wordpress [6511] #tensorflow,#datavis [6491] #security,#defi Top Word Pairs in Tweet in G1:
[767] links,#ggplot2 [766] favorite,resource [766] resource,#dataviz [766] #dataviz,using [766] using,#rstats [766] #rstats,website [766] website,helps [766] helps,pick [766] pick,best [766] best,graphic Top Word Pairs in Tweet in G2:
[686] data,visualization [656] read,free [656] free,ebook [656] ebook,fundamentals [656] fundamentals,data [656] visualization,claus [656] claus,wilke [656] wilke,#dataviz [656] #dataviz,#rstats [656] #rstats,following Top Word Pairs in Tweet in G3:
[6811] #javascript,#reactjs [6682] #fintech,#insurtech [6594] #datavis,#infosec [6203] #flutter,#html [6193] #infosec,#devops [6146] #wordpress,#security [6123] #html,#azure [5993] #reactjs,#wordpress [5974] #tensorflow,#datavis [5963] #security,#defi Top Word Pairs in Tweet in G4:
[583] #javascript,#reactjs [576] #iot,#iiot [566] #fintech,#insurtech [556] #datavis,#infosec [532] #flutter,#html [528] #wordpress,#security [528] #html,#azure [525] #reactjs,#wordpress [522] #tensorflow,#datavis [515] #infosec,#devops Top Word Pairs in Tweet in G5:
[400] models,performance [219] package,provides [201] machine,learning [200] evaluate,models [200] performance,metrica [200] metrica,metrica [200] metrica,package [200] provides,functions [200] functions,tools [200] tools,quantifying Top Word Pairs in Tweet in G6:
[27] source,#nyc [27] #nyc,#dataviz [20] keynote,eurovisconf [20] eurovisconf,online [20] online,talk [20] talk,art [20] art,science [20] science,#dataviz [20] #dataviz,sometimes [20] sometimes,unreasonable Top Word Pairs in Tweet in G7:
[9] social,media [5] organic,growth [4] promote,youtube [4] youtube,channel [4] thank,much [4] legislative,council [4] money,put [3] series,#nfts [3] #nfts,ξ0 [3] ξ0,01 Top Word Pairs in Tweet in G8:
[29] #dataviz,see [28] graphic,detail [28] detail,#dataviz [28] see,more [11] data,visualization [10] #artificialintelligence,#datavis [10] #dataviz,#cloudcomputing [10] #cloudcomputing,#bigdata [8] covid,19 [8] #webdeveloper,#dataviz Top Word Pairs in Tweet in G9:
[80] #data,#dataviz [69] pruebas,hipótesis [69] #analytics,#stats [65] gráficos,detalles [65] detalles,pruebas [65] pruebas,estadísticas [65] estadísticas,incluidos [62] #stats,#dataviz [60] #rstats,#stats [59] #dataviz,#data Top Word Pairs in Tweet in G10:
[164] data,visualization [158] fundamentals,data [158] visualization,claus [158] claus,wilke [152] free,book [152] book,fundamentals [152] wilke,guide [152] guide,making [152] making,visualizations [152] visualizations,accurately Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: