The graph represents a network of 4,025 Twitter users whose recent tweets contained "dataviz OR datavis since:2023-03-20 until:2023-03-27", 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, 27 March 2023 at 11:06 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 45-minute period from Monday, 20 March 2023 at 00:00 UTC to Sunday, 26 March 2023 at 23:45 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 : 4025
Unique Edges : 5530
Edges With Duplicates : 8584
Total Edges : 14114
Number of Edge Types : 5
Retweet : 5606
MentionsInRetweet : 4797
Replies to : 145
Tweet : 984
Mentions : 2582
Self-Loops : 1762
Reciprocated Vertex Pair Ratio : 0.0218849276385457
Reciprocated Edge Ratio : 0.042832469775475
Connected Components : 399
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 2992
Maximum Edges in a Connected Component : 12134
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.739654
Graph Density : 0.000357482434585036
Modularity : 0.386907
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,025 Twitter users whose recent tweets contained "dataviz OR datavis since:2023-03-20 until:2023-03-27", 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, 27 March 2023 at 11:06 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 45-minute period from Monday, 20 March 2023 at 00:00 UTC to Sunday, 26 March 2023 at 23:45 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:2023-03-20 until:2023-03-27
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:
[2115] #smartcity,#dataviz [2114] #ehealth,#finserv [2114] #finserv,#insurtech [2114] #dataviz,#datascientist [2114] #insurtech,#himss23 [2114] #datascientist,#csuite [2114] #himss23,#traveltech [2114] #ai,#frenchtech [2114] #healthtech,#smartcity [2114] #cx,#ehealth Top Word Pairs in Tweet in G1:
[297] #rstats,#python [233] #machinelearning,#ml [192] #dataviz,#datavisualization [188] visualizaciones,datos [187] #dataviz,#rstats [165] #datascience,#rstats [158] #datascience,#stats [151] #stats,#statistics [148] #bigdata,#datamining [138] #datascience,#dataviz Top Word Pairs in Tweet in G2:
[174] #rstats,#dataviz [104] #datascience,#dataviz [103] #rstats,#datascience [69] programming,language [65] code,#rstats [64] #dataviz,#rstats [63] #dataviz,#maps [48] #maps,#geospatial [42] #dataviz,#datavisualization [40] using,#ggplot2 Top Word Pairs in Tweet in G3:
[294] #rstats,#datascience [197] #dataviz,#geospatial [172] #datascience,#maps [172] #maps,#dataviz [133] map,shows [132] #gdp,#rstats [131] according,eurostat [129] eurostat,#gdp [129] adjusted,purchasing [129] shows,gdp Top Word Pairs in Tweet in G4:
[107] visualize,data [87] tableau,used [87] county,see [87] help,visualize [87] quality,data [87] data,points [87] analyzed,air [87] epa,#la [87] california,wildfires [87] read,#griddb Top Word Pairs in Tweet in G5:
[88] 3d,maps [85] part,#dataviz [85] #gis,#3d [82] map,worlds [82] #3dmap,#gis [82] maps,visuals [82] visuals,part [82] coolest,3d [82] past,months [82] worlds,past Top Word Pairs in Tweet in G6:
[28] detail,#dataviz [28] see,more [28] graphic,detail [28] #dataviz,see [16] data,visualization [12] #data,#dataviz [8] covid,19 [8] #dataviz,#data [7] elite,football [7] people,stand Top Word Pairs in Tweet in G7:
[117] #datavisualization,#dataviz [110] map,showing [108] #geospatial,#cartography [108] #gischat,#geospatial [108] #dataviz,#b3d [108] #cartography,#datavisualization [64] #python,#coding [61] #datascience,#ai [61] data,source [61] #ai,#machinelearning Top Word Pairs in Tweet in G8:
[2095] #smartcity,#dataviz [2094] #datascientist,#csuite [2094] #ehealth,#finserv [2094] #web3,#cx [2094] #healthtech,#smartcity [2094] #csuite,#digitalhealth [2094] #finserv,#insurtech [2094] #digitalhealth,#web3 [2094] #cx,#ehealth [2094] #himss23,#traveltech Top Word Pairs in Tweet in G9:
[103] #datavisualization,#dataviz [97] data,visualizations [97] visualizations,#datavisualization [97] designing,data [97] #dataviz,#graphicdesign [19] #datavisualization,#dante [19] edicola,la_lettura [12] dell,inferno [12] inferno,#datavisualization [12] trittico,#dataviz Top Word Pairs in Tweet in G10:
[107] #rstats,#datascience [105] gracias,autores [105] #datascience,#dataviz [105] aporte,#rstats [105] autores,aporte [101] gran,libro [101] libro,incluso [101] incluso,útil [101] uso,#r [101] analizar,datos Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: