The graph represents a network of 6,256 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-05-09 until:2022-05-16", 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, 16 May 2022 at 13:03 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 55-minute period from Monday, 09 May 2022 at 00:02 UTC to Sunday, 15 May 2022 at 23:57 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 : 6256
Unique Edges : 12593
Edges With Duplicates : 15023
Total Edges : 27616
Number of Edge Types : 5
Mentions : 2202
Retweet : 12065
MentionsInRetweet : 10361
Replies to : 1817
Tweet : 1171
Self-Loops : 1430
Reciprocated Vertex Pair Ratio : 0.0220775544862723
Reciprocated Edge Ratio : 0.0432013292716699
Connected Components : 471
Single-Vertex Connected Components : 218
Maximum Vertices in a Connected Component : 4935
Maximum Edges in a Connected Component : 25624
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.484097
Graph Density : 0.000369116471528659
Modularity : 0.455559
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,256 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-05-09 until:2022-05-16", 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, 16 May 2022 at 13:03 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 55-minute period from Monday, 09 May 2022 at 00:02 UTC to Sunday, 15 May 2022 at 23:57 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:2022-05-09 until:2022-05-16
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:
[5513] #fintech,#insurtech [5370] #wordpress,#security [5362] #mlops,#flutter [5356] #flutter,#html [5278] #datavis,#infosec [5241] #html,#azure [5230] #iot,#iiot [5196] #javascript,#reactjs [5195] #insurtech,#ai [5168] #security,#defi Top Word Pairs in Tweet in G1:
[525] #rstats,#dataviz [207] data,visualization [188] #dataviz,#rstats [158] behavioral,social [158] social,sciences [151] graphics,cookbook [151] cookbook,2nd [151] 2nd,edition [151] edition,winston_chang [151] more,150 Top Word Pairs in Tweet in G2:
[5500] #fintech,#insurtech [5358] #wordpress,#security [5350] #mlops,#flutter [5344] #flutter,#html [5267] #datavis,#infosec [5230] #html,#azure [5193] #iot,#iiot [5186] #javascript,#reactjs [5184] #insurtech,#ai [5156] #security,#defi Top Word Pairs in Tweet in G3:
[506] #dataviz,animation [506] animation,good [506] good,thread [506] thread,examples [3] cherdarchuk,great [3] site,makes [3] makes,discovery [3] discovery,phase [3] phase,#datavisualization [3] #datavisualization,projects Top Word Pairs in Tweet in G4:
[437] data,visualization [436] fundamentals,data [435] free,book [435] book,fundamentals [435] visualization,claus [435] claus,wilke [435] wilke,guide [435] guide,making [435] making,visualizations [435] visualizations,accurately Top Word Pairs in Tweet in G5:
[310] website,called [304] made,#dataviz [304] #dataviz,related [304] related,website [304] called,co [304] co,vk63knuqjl [304] vk63knuqjl,list [304] list,many [304] many,stunning [304] stunning,viz Top Word Pairs in Tweet in G6:
[106] animating,mercator [97] distribution,elevation [97] elevation,depth [97] depth,world [93] world,#dataviz [84] decided,make [84] make,updated [84] updated,improved [84] improved,animating [84] mercator,animation Top Word Pairs in Tweet in G7:
[75] critiques,started [75] started,roll [75] roll,let's [75] let's,thread [75] thread,visualize [75] visualize,mass [75] mass,death [75] death,accomplishes [75] accomplishes,#dataviz [41] data,visualization Top Word Pairs in Tweet in G8:
[86] visualize,data [78] analyzed,air [78] air,quality [78] quality,data [78] data,gathered [78] gathered,epa [78] epa,#la [78] #la,county [78] county,see [78] see,effects Top Word Pairs in Tweet in G9:
[120] pawlowskimario,margaretsiegien [113] nevillegaunt,betamoroney [99] efipm,kalydeoo [89] baski_la,fogle_shane [87] #abdsc,#bigdata [78] #bigdata,#analytics [77] #dataviz,chboursin [77] shi4tech,pawlowskimario [76] #maps,#dataviz [75] #ai,#machinelearning Top Word Pairs in Tweet in G10:
[28] graphic,detail [28] detail,#dataviz [28] #dataviz,see [28] see,more [20] source,#nyc [20] #nyc,#dataviz [17] view,more [17] more,lidar [17] lidar,equator [14] data,visualization Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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: