The graph represents a network of 7,989 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, 22 March 2022 at 14:51 UTC.
The requested start date was Tuesday, 22 March 2022 at 00:01 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 5-day, 15-hour, 41-minute period from Wednesday, 16 March 2022 at 07:07 UTC to Monday, 21 March 2022 at 22:48 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 : 7989
Unique Edges : 3931
Edges With Duplicates : 10215
Total Edges : 14146
Number of Edge Types : 5
Retweet : 4685
MentionsInRetweet : 5303
Replies to : 1025
Mentions : 1478
Tweet : 1655
Self-Loops : 1706
Reciprocated Vertex Pair Ratio : 0.00309222909384243
Reciprocated Edge Ratio : 0.00616539337890363
Connected Components : 1665
Single-Vertex Connected Components : 1043
Maximum Vertices in a Connected Component : 4597
Maximum Edges in a Connected Component : 10014
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.335351
Graph Density : 0.00011691401164834
Modularity : 0.54165
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,989 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, 22 March 2022 at 14:51 UTC.
The requested start date was Tuesday, 22 March 2022 at 00:01 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 5-day, 15-hour, 41-minute period from Wednesday, 16 March 2022 at 07:07 UTC to Monday, 21 March 2022 at 22:48 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:
[6622] elizabeth,warren [906] senator,elizabeth [769] warren,fucking [768] investmentshulk,elizabeth [767] fucking,rekt [591] yaliberty,elizabeth [590] crypto,works [589] warren,proves [589] proves,idea [589] idea,crypto Top Word Pairs in Tweet in G1:
[1125] elizabeth,warren [379] senator,elizabeth [340] blockade,#yemen [171] president,biden [170] warren,sent [170] sent,letter [170] letter,calling [170] calling,president [170] take,measures [170] measures,pressure Top Word Pairs in Tweet in G2:
[769] elizabeth,warren [714] investmentshulk,elizabeth [713] warren,fucking [713] fucking,rekt [28] warren,wrecked [21] daily,market [21] market,update [21] update,elizabeth [21] wrecked,#bitcoin [21] #bitcoin,pumping Top Word Pairs in Tweet in G3:
[588] elizabeth,warren [574] yaliberty,elizabeth [572] warren,proves [572] proves,idea [572] idea,crypto [572] crypto,works [572] works,gets [572] gets,absolutely [572] absolutely,rekt [572] rekt,during Top Word Pairs in Tweet in G4:
[314] elizabeth,warren [227] gary,gensler [223] york,calling [223] calling,sec [223] gensler,being [223] being,elizabeth [223] warren,pet [173] insulin,around [173] around,over [173] over,100 Top Word Pairs in Tweet in G5:
[248] elizabeth,warren [42] drop,congress [42] congress,elizabeth [42] warren,steve [42] steve,mnuchin [42] mnuchin,collab [42] collab,nobody [42] nobody,expected [42] expected,wanted [42] wanted,senwarren Top Word Pairs in Tweet in G6:
[249] elizabeth,warren [136] hates,elizabeth [134] everyone,hates [132] neerajka,everyone [118] warren,crypto [117] crypto,regulation [117] regulation,bill [49] warren,gets [45] gets,probably [45] probably,foremost Top Word Pairs in Tweet in G7:
[283] elizabeth,warren [55] fam,member [55] member,loves [55] loves,elizabeth [55] warren,head [55] head,around [55] around,warren [55] warren,against [55] against,bitcoin [55] bitcoin,brings Top Word Pairs in Tweet in G8:
[188] elizabeth,warren [135] sen,elizabeth [132] warren,introduced [132] introduced,bill [127] buzzfeednews,sen [103] sanctioned,russian [100] bill,prevent [100] prevent,sanctioned [100] russian,oligarchs [100] oligarchs,hiding Top Word Pairs in Tweet in G9:
[202] elizabeth,warren [185] senator,elizabeth [175] warren,introduced [175] introduced,bill [170] bill,allows [170] allows,treasury [170] treasury,ban [170] ban,exchanges [170] exchanges,processing [169] watcherguru,senator Top Word Pairs in Tweet in G10:
[164] elizabeth,warren [110] sen,elizabeth [65] bill,today [49] first,today [49] today,mt [49] mt,sen [49] warren,rep [49] rep,mondaire [49] mondaire,jones [49] jones,introducing Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 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 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: