The graph represents a network of 3,567 Twitter users whose recent tweets contained "dataviz OR datavis since:2023-01-16 until:2023-01-23", 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, 23 January 2023 at 12:10 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 40-minute period from Monday, 16 January 2023 at 00:04 UTC to Sunday, 22 January 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 : 3567
Unique Edges : 5098
Edges With Duplicates : 2110
Total Edges : 7208
Number of Edge Types : 5
Retweet : 3266
Tweet : 992
MentionsInRetweet : 1736
Replies to : 192
Mentions : 1022
Self-Loops : 1110
Reciprocated Vertex Pair Ratio : 0.0163160998623943
Reciprocated Edge Ratio : 0.0321083172147002
Connected Components : 439
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 2367
Maximum Edges in a Connected Component : 5371
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.237202
Graph Density : 0.00040644903325665
Modularity : 0.667798
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,567 Twitter users whose recent tweets contained "dataviz OR datavis since:2023-01-16 until:2023-01-23", 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, 23 January 2023 at 12:10 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 40-minute period from Monday, 16 January 2023 at 00:04 UTC to Sunday, 22 January 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:2023-01-16 until:2023-01-23
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:
[441] #rstats,#dataviz [434] #datascience,#dataviz [348] data,visualization [287] #rstats,#datascience [190] #datascience,#rstats [186] #dataviz,#maps [168] #dataviz,#datavisualization [159] #dataviz,#python [153] data,points [150] visualize,data Top Word Pairs in Tweet in G1:
[289] #rstats,#dataviz [222] data,visualization [126] #dataviz,#ggplot2 [121] visualization,know [121] 20,packages [121] jchen001,#rstats [121] packages,data [121] know,jchen001 [105] #datascience,#dataviz [104] #rstats,#datascience Top Word Pairs in Tweet in G2:
[139] visualize,data [130] read,#griddb [130] data,points [130] data,gathered [130] see,effects [130] epa,#la [130] help,visualize [130] quality,data [130] wildfires,region [130] california,wildfires Top Word Pairs in Tweet in G3:
[64] #stats,#analytics [58] #datascience,#stats [57] #tech,#iot [53] #analytics,#dataviz [45] #dataviz,#datavisualization [43] #data,#dataviz [41] #ml,#data [40] #machinelearning,#python [39] #analytics,#programming [39] online,pdf Top Word Pairs in Tweet in G4:
[137] #iot,#iiot [83] #datascience,#dataviz [67] #iiot,#iotpl [63] #ai,#analytics [60] #ai,#ml [59] #ai,#machinelearning [58] #machinelearning,#python [57] #javascript,#reactjs [57] #python,#iot [57] #fintech,#insurtech Top Word Pairs in Tweet in G5:
[118] #rstats,#datascience [114] #datascience,#dataviz [99] #geospatial,#dataviz [85] docs,github [85] #earthengine,datasets [85] #dataviz,#geopython [85] github,#geospatial [85] #geemap,few [85] visualize,#earthengine [85] few,clicks Top Word Pairs in Tweet in G6:
[29] #data,#dataviz [29] see,more [28] detail,#dataviz [28] graphic,detail [28] #dataviz,see [26] source,#nyc [26] #nyc,#data [17] #datatogel,#yupitoto [17] #togelonline,#datatogel [15] #dataviz,#prediksitogel Top Word Pairs in Tweet in G7:
[143] #datascience,#rstats [80] #dataanalytics,#programming [57] data,science [57] #rstats,#dataanalytics [54] #dataviz,#machinelearning [53] applied,regression [53] #dataviz,#artificalintelligence [53] valuable,graduate [53] regression,well [53] #bbtitians,#datascience Top Word Pairs in Tweet in G8:
[74] datos,espaciales [74] #dataviz,#maps [73] #analytics,#ml [73] trabajar,mapas [73] ti,puedes [73] datos,geográficos [73] #spatial,#analytics [73] #maps,#spatial [73] #bigdata,#datascience [73] gusta,trabajar Top Word Pairs in Tweet in G9:
[130] national,wealth [102] total,national [102] europe,highest [102] europe,whole [102] percentage,total [94] bottom,80 [90] highest,netherlands [90] 35,lowest [90] netherlands,35 [64] wealth,bottom Top Word Pairs in Tweet in G10:
[81] iceland,2022 [81] earthquakes,iceland [81] using,data [81] #dataviz,#earthquakes [81] made,#qgis [81] happy,year [81] thousand,quakes [81] office,happy [81] data,vedurstofan [81] catalogue,holds Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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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:
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: