The graph represents a network of 7,933 Twitter users whose tweets in the requested range contained "Elizabeth Warren", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 December 2021 at 15:52 UTC.
The requested start date was Tuesday, 14 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 10-hour, 35-minute period from Tuesday, 07 December 2021 at 12:13 UTC to Monday, 13 December 2021 at 22:49 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 : 7933
Unique Edges : 3559
Edges With Duplicates : 11750
Total Edges : 15309
Number of Edge Types : 5
Retweet : 5599
MentionsInRetweet : 6896
Replies to : 724
Mentions : 1052
Tweet : 1038
Self-Loops : 1065
Reciprocated Vertex Pair Ratio : 0.0032150512026673
Reciprocated Edge Ratio : 0.00640949554896142
Connected Components : 1151
Single-Vertex Connected Components : 604
Maximum Vertices in a Connected Component : 5346
Maximum Edges in a Connected Component : 12149
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.367206
Graph Density : 0.000133890495786732
Modularity : 0.538816
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,933 Twitter users whose tweets in the requested range contained "Elizabeth Warren", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 December 2021 at 15:52 UTC.
The requested start date was Tuesday, 14 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 10-hour, 35-minute period from Tuesday, 07 December 2021 at 12:13 UTC to Monday, 13 December 2021 at 22:49 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 : GraphServerTwitterSearch
Graph Term : Elizabeth Warren
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:
[3200] elizabeth,warren [3101] jussie,smollett [3098] defended,jussie [1298] bernie,sanders [1150] record,high [1147] pay,record [1060] joe,biden [1059] kamala,harris [1030] biden,defended [1030] smollett,kamala Top Word Pairs in Tweet in G1:
[3058] defended,jussie [3058] jussie,smollett [1019] joe,biden [1019] biden,defended [1019] smollett,kamala [1019] kamala,harris [1019] harris,defended [1019] smollett,bernie [1019] bernie,sanders [1019] sanders,defended Top Word Pairs in Tweet in G2:
[759] instead,investing [759] pay,record [759] record,high [758] people,pay [758] high,prices [758] prices,car [758] car,rentals [758] rentals,instead [758] investing,more [758] more,inventory Top Word Pairs in Tweet in G3:
[337] pay,record [337] record,high [280] rental,car [276] customers,pay [276] high,rental [276] car,costs [276] costs,hertz [276] hertz,doing [276] doing,lining [276] lining,pockets Top Word Pairs in Tweet in G4:
[577] elizabeth,warren [44] stock,buyback [44] sen,elizabeth [41] warren,blasts [41] billion,stock [40] blasts,hertz [39] hertz,billion [39] rental,car [37] buyback,jacking [37] jacking,rental Top Word Pairs in Tweet in G5:
[381] senate,starts [381] starts,tolerating [381] tolerating,carveouts [381] carveouts,filibuster [381] filibuster,ted [381] ted,cruz [381] cruz,warned [381] warned,opens [381] opens,door [381] door,democrats Top Word Pairs in Tweet in G6:
[167] bernie,sanders [162] hear,big [162] big,lie [162] lie,remember [162] remember,began [162] began,bernie [162] sanders,campaign [162] campaign,claiming [162] claiming,2016 [162] 2016,primary Top Word Pairs in Tweet in G7:
[190] before,keep [190] keep,screeching [190] screeching,nothing [190] nothing,biden [190] biden,possibly [190] possibly,save [190] save,democracy [190] democracy,think [190] think,elizabeth [189] pamkeithfl,before Top Word Pairs in Tweet in G8:
[176] elizabeth,warren [167] sen,elizabeth [166] warren,punchbowl [166] punchbowl,bbb [166] bbb,house [166] house,stepped [166] stepped,done [166] done,part [166] part,president [166] president,promised Top Word Pairs in Tweet in G9:
[123] warren,joined [123] joined,congressional [123] congressional,colleagues [123] colleagues,urging [123] urging,president [123] president,biden [123] biden,cancel [123] cancel,50 [123] 50,000 [123] 000,student Top Word Pairs in Tweet in G10:
[108] elizabeth,warren [61] warren,writing [61] writing,secgov [61] secgov,agenda [60] eleanorterrett,elizabeth [55] agenda,againâ [24] daughter,intern [23] eleanorterrett,empowr_us [23] empowr_us,johnedeaton1 [23] johnedeaton1,secgov Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
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:
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Top Tweeters in G9:
Top Tweeters in G10: