The graph represents a network of 5,854 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 18,000 tweets. The network was obtained from Twitter on Tuesday, 17 January 2023 at 12:28 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 19-minute period from Saturday, 07 January 2023 at 13:55 UTC to Tuesday, 17 January 2023 at 11:15 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.
Vertices : 5854
Unique Edges : 9036
Edges With Duplicates : 3731
Total Edges : 12767
Number of Edge Types : 5
Retweet : 6310
Mentions : 1355
Replies to : 202
Tweet : 1270
MentionsInRetweet : 3630
Self-Loops : 1416
Reciprocated Vertex Pair Ratio : 0.0157573158966663
Reciprocated Edge Ratio : 0.0310257492612917
Connected Components : 500
Single-Vertex Connected Components : 231
Maximum Vertices in a Connected Component : 4355
Maximum Edges in a Connected Component : 10319
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.557645
Graph Density : 0.000276562829523765
Modularity : 0.65041
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,854 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 18,000 tweets. The network was obtained from Twitter on Tuesday, 17 January 2023 at 12:28 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 19-minute period from Saturday, 07 January 2023 at 13:55 UTC to Tuesday, 17 January 2023 at 11:15 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 Domains
Top Word Pairs in Tweet in Entire Graph:
[1034] #rstats,#datascience [909] #datascience,#dataviz [856] #rstats,#dataviz [799] #dataviz,#maps [768] #maps,#geospatial [749] #stats,#analytics [638] #europe,#rstats [612] eurostat's,data [605] map,shows [462] de,datos Top Word Pairs in Tweet in G1:
[685] #stats,#analytics [484] #rstats,#dataviz [386] de,datos [358] #dataviz,#stats [355] #bigdata,#datamining [352] #machinelearning,#ml [344] #analytics,#machinelearning [315] #ml,#ai [296] #ai,#bigdata [264] #rstats,#datascience Top Word Pairs in Tweet in G2:
[323] visualize,data [314] #dataviz,#python [305] help,visualize [304] county,effects [304] #iot,#dataviz [304] epa,#la [304] data,gathered [304] analyzed,air [304] data,read [304] quality,data Top Word Pairs in Tweet in G3:
[588] #rstats,#datascience [575] #datascience,#dataviz [573] #dataviz,#maps [555] #maps,#geospatial [548] #europe,#rstats [530] eurostat's,data [527] map,shows [274] population,eurostat's [274] #children,#europe [274] shows,children Top Word Pairs in Tweet in G4:
[293] #datascience,#rstats [253] pdf,#datascience [251] download,pdf [130] #dataviz,#programming [128] #rstats,#dataanalytics [110] #statistics,#dataviz [94] financial,data [93] #rstats,#dataviz [84] data,visualization [84] #dataviz,#artificialintelligence Top Word Pairs in Tweet in G5:
[127] #iot,#iiot [123] #machinelearning,#python [104] #100daysofcode,#dataviz [95] #iiot,#iotpl [94] #ai,#machinelearning [88] #dataviz,#iot [86] #analytics,#data [84] #bigdata,#rstats [84] #python,#programming [83] #datascience,#machinelearning Top Word Pairs in Tweet in G6:
[38] #data,#dataviz [32] source,#nyc [32] #nyc,#data [22] #dataviz,#datavisualization [18] map,source [12] data,visualizations [11] data,visualization [11] data,visualisation [11] #coding,#programming [10] 100,bills Top Word Pairs in Tweet in G7:
[89] percentage,total [89] total,national [89] national,wealth [89] europe,highest [67] america,population [63] 35,lowest [63] lowest,russia [63] highest,netherlands [63] netherlands,35 [63] 23,#dataviz Top Word Pairs in Tweet in G8:
[136] #rstats,#dataviz [74] data,visualization [66] visualization,jchen001 [66] jchen001,#rstats [66] packages,data [66] 20,packages [66] #rstats,#datascience [65] #datascience,#dataviz [64] #dataviz,#ggplot2 [63] martin,#rstats Top Word Pairs in Tweet in G9:
[133] earthquakes,iceland [133] #dataviz,#earthquakes [133] quakes,checked [133] #earthquakes,#iceland [133] #qgis,data [133] checked,validated [133] #iceland,#qgis [133] icelandic,met [133] met,office [133] 2022,catalogue Top Word Pairs in Tweet in G10:
[125] best,#dataviz [125] build,share [125] share,favorite [125] wondered,best [125] favorite,resources [125] projects,build [125] #dataviz,projects [26] de,la [14] #rstats,#dataviz [13] de,l'indice Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: