The graph represents a network of 5,017 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-10-17 until:2022-10-24", 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, 24 October 2022 at 10:55 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 40-minute period from Monday, 17 October 2022 at 00:01 UTC to Sunday, 23 October 2022 at 23:41 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 : 5017
Unique Edges : 8722
Edges With Duplicates : 8878
Total Edges : 17600
Number of Edge Types : 5
Retweet : 7629
Mentions : 1824
MentionsInRetweet : 6476
Tweet : 1031
Replies to : 640
Self-Loops : 1134
Reciprocated Vertex Pair Ratio : 0.019831223628692
Reciprocated Edge Ratio : 0.0388911874224245
Connected Components : 446
Single-Vertex Connected Components : 184
Maximum Vertices in a Connected Component : 3387
Maximum Edges in a Connected Component : 15135
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.685803
Graph Density : 0.00038418023059715
Modularity : 0.490598
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 5,017 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-10-17 until:2022-10-24", 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, 24 October 2022 at 10:55 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 40-minute period from Monday, 17 October 2022 at 00:01 UTC to Sunday, 23 October 2022 at 23:41 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:2022-10-17 until:2022-10-24
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:
[2948] #datavis,#infosec [2938] #javascript,#reactjs [2922] #python,#iot [2874] #flutter,#html [2842] #fintech,#insurtech [2820] #html,#azure [2796] #wordpress,#security [2744] #iot,#iiot [2741] #security,#defi [2737] #reactjs,#wordpress Top Word Pairs in Tweet in G1:
[268] #machinelearning,#ml [262] #python,#iot [257] #ml,#ia [220] #dataviz,#machinelearning [219] #rstats,#dataviz [212] #analytics,#dataviz [205] #bigdata,#datamining [202] #rstats,#python [195] #datascience,#stats [182] #dataanalytics,#analytics Top Word Pairs in Tweet in G2:
[2841] #datavis,#infosec [2830] #javascript,#reactjs [2766] #flutter,#html [2739] #fintech,#insurtech [2714] #html,#azure [2690] #wordpress,#security [2645] #python,#iot [2638] #security,#defi [2631] #reactjs,#wordpress [2589] #insurtech,#ai Top Word Pairs in Tweet in G3:
[47] #dataviz,#datascience [28] #python,#dataviz [27] online,free [26] #100daysofcode,#dataviz [25] #datascience,#python [23] #datavisualization,#dataviz [23] #datascience,#datascientist [22] next,week [22] #dataviz,#datavisualization [22] #ieeevis,#vis22 Top Word Pairs in Tweet in G4:
[117] #cancer,death [117] usa,#dataviz [117] sold,vs [117] death,rates [117] vs,lung [117] rates,usa [117] #dataviz,#health [117] lung,#cancer [117] cigarettes,sold [117] #health,source Top Word Pairs in Tweet in G5:
[189] twitter,trivikv [189] mikhailsirenko,released [189] #opensource,project [189] people,twitter [189] #policymakers,#gis [189] trivikv,mikhailsirenko [189] #dataviz,people [189] #gis,#dataviz [189] released,#opensource [189] source,#webapplication Top Word Pairs in Tweet in G6:
[401] record,historique [401] nouveau,record [201] déclarations,l'urssaf [201] c'est,6eme [201] l'urssaf,nouveau [201] bat,propre [201] trimestre,consécutif [201] historique,cdi [201] propre,record [201] 6eme,trimestre Top Word Pairs in Tweet in G7:
[29] see,more [28] detail,#dataviz [28] graphic,detail [28] #dataviz,see [27] source,#nyc [27] #nyc,#dataviz [12] data,visualization [11] map,source [9] #machinelearning,#deeplearning [9] #ai,#machinelearning Top Word Pairs in Tweet in G8:
[99] visualize,data [91] tableau,used [91] county,see [91] help,visualize [91] quality,data [91] data,points [91] analyzed,air [91] epa,#la [91] california,wildfires [91] read,#griddb Top Word Pairs in Tweet in G9:
[153] #dataviz,#birds [153] #tech,#innovation [153] visualization,bird [153] #birds,#nature [153] amazing,visualization [153] bird,migration [153] migration,over [153] #gps,#dataviz [153] over,europe [153] europe,#gps Top Word Pairs in Tweet in G10:
[150] #rstats,#dataviz [149] cran,today [149] paletteer,cran [149] adding,188 [149] packages,total [149] palettes,#rstats [149] 2569,palettes [149] announce,v1 [149] excited,announce [149] total,2569 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 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: