The graph represents a network of 1,225 Twitter users whose recent tweets contained "Steyer NV", 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 Saturday, 15 February 2020 at 13:45 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 47-minute period from Thursday, 06 February 2020 at 04:35 UTC to Saturday, 15 February 2020 at 12:23 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 : 1225
Unique Edges : 1269
Edges With Duplicates : 409
Total Edges : 1678
Number of Edge Types : 5
Retweet : 414
Tweet : 137
Mentions : 485
Replies to : 284
MentionsInRetweet : 358
Self-Loops : 139
Reciprocated Vertex Pair Ratio : 0.00681818181818182
Reciprocated Edge Ratio : 0.0135440180586907
Connected Components : 189
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 638
Maximum Edges in a Connected Component : 898
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.503462
Graph Density : 0.000886354541816727
Modularity : 0.768021
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,225 Twitter users whose recent tweets contained "Steyer NV", 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 Saturday, 15 February 2020 at 13:45 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 47-minute period from Thursday, 06 February 2020 at 04:35 UTC to Saturday, 15 February 2020 at 12:23 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 : Steyer NV
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[247] nv,sc [143] sc,nv [131] tom,steyer [106] 18,warren [98] biden,18 [97] 25,biden [96] warren,13 [95] 13,steyer [95] steyer,11 [94] 11,buttigieg Top Word Pairs in Tweet in G1:
[40] nv,sc [18] sc,nv [16] super,tuesday [16] skipping,nh [16] nh,primary [16] primary,night [16] night,campaign [13] team,tx [13] tx,making [13] making,moves Top Word Pairs in Tweet in G2:
[90] biden,plummeting [90] plummeting,steyer [90] steyer,eggs [90] eggs,nv [90] nv,basket [90] basket,tulsi [90] tulsi,lmao [90] lmao,yang [90] yang,doesn [90] doesn,staying Top Word Pairs in Tweet in G3:
[44] sc,nv [43] reason,steyer [43] steyer,named [43] named,checked [43] checked,sc [43] nv,answer [43] answer,pouring [43] pouring,tens [43] tens,millions [43] millions,ads Top Word Pairs in Tweet in G4:
[23] nv,sc [14] tom,steyer [11] super,tuesday [9] sc,nv [4] nh,nv [4] steyer,bloomberg [4] nv,steyer [4] biden,warren [3] bloomberg,steyer [3] ia,nh Top Word Pairs in Tweet in G5:
[58] 18,warren [58] 11,buttigieg [53] nv,wh [53] wh,2020 [53] 2020,primary [53] primary,poll [53] poll,wpa [53] wpa,intel [53] intel,lv [53] lv,review Top Word Pairs in Tweet in G6:
[16] tom,steyer [14] nv,sc [8] white,voters [7] sc,nv [6] joshjame,ewarren [6] ewarren,lost [6] lost,white [6] voters,states [6] states,huge [6] huge,already Top Word Pairs in Tweet in G7:
[62] nv,sc [32] ia,nh [31] reminder,final [31] final,debate [31] debate,steyer [31] steyer,yang [31] yang,candidates [31] candidates,need [31] need,hit [31] hit,10 Top Word Pairs in Tweet in G9:
[7] dudeklinda,gualcojodie [7] manuelofreire,markie_kmarky8 [7] markie_kmarky8,txtruth45 [7] swags_d17,resisterchic [7] sprzyslp,profbriankalt [7] profbriankalt,ceciliacmaida [7] ceciliacmaida,grundenleubner [7] grundenleubner,mrorangevale [7] mrorangevale,smp0312 [7] smp0312,proudsadrose Top Word Pairs in Tweet in G10:
[12] donate,rest [6] donated,#half [6] #half,andrewyang [6] andrewyang,donation [6] donation,#refund [6] #refund,tulsi [6] tulsi,gabbard [6] gabbard,depending [6] depending,well [6] well,tulsi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G6:
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: