The graph represents a network of 6,209 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-03-21 until:2022-03-28", 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, 28 March 2022 at 15:35 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Monday, 21 March 2022 at 00:02 UTC to Sunday, 27 March 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 : 6209
Unique Edges : 12217
Edges With Duplicates : 21021
Total Edges : 33238
Number of Edge Types : 5
Retweet : 14041
Mentions : 2567
MentionsInRetweet : 13745
Tweet : 1248
Replies to : 1637
Self-Loops : 1813
Reciprocated Vertex Pair Ratio : 0.027058229309474
Reciprocated Edge Ratio : 0.0526907404805396
Connected Components : 474
Single-Vertex Connected Components : 221
Maximum Vertices in a Connected Component : 4835
Maximum Edges in a Connected Component : 31285
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.536429
Graph Density : 0.000369278134666505
Modularity : 0.38152
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,209 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-03-21 until:2022-03-28", 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, 28 March 2022 at 15:35 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Monday, 21 March 2022 at 00:02 UTC to Sunday, 27 March 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:2022-03-21 until:2022-03-28
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:
[7760] #fintech,#insurtech [7001] #iot,#iiot [6895] #flutter,#html [6894] #mlops,#flutter [6863] #wordpress,#security [6860] #datavis,#infosec [6837] #javascript,#reactjs [6833] #html,#azure [6667] #infosec,#devops [6651] #reactjs,#wordpress Top Word Pairs in Tweet in G1:
[339] #rstats,#dataviz [194] baby,names [141] code,#rstats [115] #dataviz,#rstats [90] always,wanted [87] wanted,kind [87] kind,graph [87] graph,#tidytuesday [87] #tidytuesday,idea [87] idea,flowingdata Top Word Pairs in Tweet in G2:
[769] #rstats,#dataviz [739] distributed,europe [739] europe,using [739] using,data [739] data,openstreetmap [636] power,plants [630] wind,farm [630] farm,map [630] map,wondering [630] wondering,solar Top Word Pairs in Tweet in G3:
[7752] #fintech,#insurtech [6981] #iot,#iiot [6888] #flutter,#html [6887] #mlops,#flutter [6853] #datavis,#infosec [6849] #wordpress,#security [6826] #html,#azure [6825] #javascript,#reactjs [6658] #infosec,#devops [6635] #reactjs,#wordpress Top Word Pairs in Tweet in G4:
[380] metbrewer,officially [380] #metbrewer,#rstats [380] #rstats,#r4ds [379] #r4ds,#dataviz [377] package,update [377] update,metbrewer [377] officially,available [377] available,both [377] both,cran [377] cran,github Top Word Pairs in Tweet in G5:
[293] #analytics,#ai [286] #bigdata,#datascience [279] #ai,#machinelearning [271] #datascience,#analytics [269] #datascientist,job [269] job,expectation [269] expectation,vs [269] vs,reality [269] reality,#infographic [269] #infographic,#bigdata Top Word Pairs in Tweet in G6:
[267] #python,using [247] using,#matplotlib [247] #matplotlib,#numpy [230] #pandas,#data [230] #data,#datascience [230] #datascience,#dataviz [228] #dataviz,#geography [212] map,generated [210] population,density [210] generated,#python Top Word Pairs in Tweet in G7:
[80] data,comes [80] comes,uncertainty [80] uncertainty,looks [80] looks,definitive [80] definitive,plotted [80] plotted,chart [80] chart,making [80] making,uncertainty [80] uncertainty,visible [80] visible,one Top Word Pairs in Tweet in G8:
[30] see,more [28] 31,march [28] graphic,detail [28] detail,#dataviz [28] #dataviz,see [26] source,#nyc [26] #nyc,#dataviz [15] #datageeks,#apps [15] #apps,#dataviz [14] #dataviz,developers Top Word Pairs in Tweet in G9:
[72] visualize,data [71] #dataviz,#python [69] analyzed,air [69] air,quality [69] quality,data [69] data,gathered [69] gathered,epa [69] epa,#la [69] #la,county [69] county,see Top Word Pairs in Tweet in G10:
[70] #jupyter,#dataviz [64] #leafmap,tutorial [64] video,notebook [64] notebook,#geospatial [58] three,courses [58] courses,learning [58] learning,#earthengine [58] #earthengine,python [58] python,api [58] api,#geemap 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: