The graph represents a network of 5,897 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-10-03 until:2022-10-10", 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, 10 October 2022 at 10:32 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 53-minute period from Monday, 03 October 2022 at 00:01 UTC to Sunday, 09 October 2022 at 23:55 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 : 5897
Unique Edges : 11118
Edges With Duplicates : 17560
Total Edges : 28678
Number of Edge Types : 5
Retweet : 13245
MentionsInRetweet : 11256
Replies to : 1213
Mentions : 1842
Tweet : 1122
Self-Loops : 1359
Reciprocated Vertex Pair Ratio : 0.0229911932039592
Reciprocated Edge Ratio : 0.0449489562699985
Connected Components : 419
Single-Vertex Connected Components : 198
Maximum Vertices in a Connected Component : 4701
Maximum Edges in a Connected Component : 26788
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.245161
Graph Density : 0.000377523331896793
Modularity : 0.400111
NodeXL Version : 1.0.1.504
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=282623
Data Import : The graph represents a network of 5,897 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-10-03 until:2022-10-10", 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, 10 October 2022 at 10:32 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 53-minute period from Monday, 03 October 2022 at 00:01 UTC to Sunday, 09 October 2022 at 23:55 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:2022-10-03 until:2022-10-10
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:
[5787] #datavis,#infosec [5751] #fintech,#insurtech [5530] #javascript,#reactjs [5529] #flutter,#html [5514] #iot,#iiot [5514] #wordpress,#security [5480] #html,#azure [5429] #insurtech,#ai [5260] #security,#defi [5233] #reactjs,#wordpress Top Word Pairs in Tweet in G1:
[1138] #machinelearning,#ml [942] #data,#dataviz [862] #dataviz,#data [653] #datascience,#analytics [541] #dataviz,#rstats [530] visualización,datos [507] #stats,#datascience [472] #ml,#dataviz [458] #ebook,#gratis [441] #rstats,#datascience Top Word Pairs in Tweet in G2:
[161] #rstats,#dataviz [110] visualize,data [103] #dataviz,#python [101] analyzed,air [101] air,quality [101] quality,data [101] data,gathered [101] gathered,epa [101] epa,#la [101] #la,county Top Word Pairs in Tweet in G3:
[5766] #datavis,#infosec [5730] #fintech,#insurtech [5509] #javascript,#reactjs [5509] #flutter,#html [5493] #wordpress,#security [5485] #iot,#iiot [5460] #html,#azure [5408] #insurtech,#ai [5239] #security,#defi [5212] #reactjs,#wordpress Top Word Pairs in Tweet in G4:
[239] means,clustering [229] clustering,explorable [194] #datascience,#dataviz [179] data,science [164] explorable,explainer [164] explainer,app [164] app,yizhe_ang [164] yizhe_ang,another [164] another,great [164] great,example Top Word Pairs in Tweet in G5:
[221] read,maxseddon's [221] maxseddon's,mehulatlarge's [215] #gistribe,#dataviz [212] animation,showing [212] showing,ukraine's [212] ukraine's,success [212] success,regaining [212] regaining,territory [212] territory,september [212] september,continues Top Word Pairs in Tweet in G6:
[28] graphic,detail [28] detail,#dataviz [28] #dataviz,see [28] see,more [12] #dataviz,#datavisualization [9] #data,#dataviz [8] data,visualization [8] becoming,more [7] young,people [7] people,stand Top Word Pairs in Tweet in G7:
[87] #machinelearning,#dataviz [86] kennedykwangari,skills [86] skills,needed [86] needed,become [86] become,#datascientist [86] #datascientist,#bigdata [86] #bigdata,#datascience [86] #datascience,#machinelearning [86] #dataviz,#datastorytelling [84] #infographic,kennedykwangari Top Word Pairs in Tweet in G8:
[114] #data,#dataviz [113] #datascience,#analytics [113] #analytics,#stats [110] #dataviz,#rstats [108] #rstats,#datascience [107] útil,referencia [107] referencia,seleccionar [107] seleccionar,gráfico [107] gráfico,adecuado [107] adecuado,nuestros Top Word Pairs in Tweet in G9:
[116] #rstats,#datascience [94] map,shows [74] #datascience,#dataviz [73] #dataviz,#maps [49] #europe,#rstats [43] #maps,#dataviz [43] #dataviz,#coding [41] shows,active [41] active,railways [41] railways,europe Top Word Pairs in Tweet in G10:
[26] petite,étude [26] étude,effet [26] effet,streisand [26] streisand,twitter [26] twitter,ici [26] ici,concernant [26] concernant,l'affaire [26] l'affaire,_reflets_ [26] _reflets_,alticefrance [26] alticefrance,ce 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 G4:
Top Replied-To in G10:
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 G7:
Top Mentioned in G8:
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: