The graph represents a network of 6,270 Twitter users whose recent tweets contained "Elizabeth Warren", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 15:50 UTC.
The tweets in the network were tweeted over the 1797-day, 1-hour, 43-minute period from Wednesday, 07 February 2018 at 23:17 UTC to Tuesday, 10 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6270
Unique Edges : 3107
Edges With Duplicates : 9395
Total Edges : 12502
Number of Edge Types : 9
Retweet : 2332
MentionsInRetweet : 2621
Replies to : 2149
MentionsInReplyTo : 3702
Tweet : 1237
Quote : 193
Mentions : 209
MentionsInQuote : 43
MentionsInQuoteReply : 16
Self-Loops : 1397
Reciprocated Vertex Pair Ratio : 0.0213199561059727
Reciprocated Edge Ratio : 0.0417498081350729
Connected Components : 1180
Single-Vertex Connected Components : 593
Maximum Vertices in a Connected Component : 3160
Maximum Edges in a Connected Component : 7226
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.934915
Graph Density : 0.000165748119337628
Modularity : 0.537549
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,270 Twitter users whose recent tweets contained "Elizabeth Warren", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 15:50 UTC.
The tweets in the network were tweeted over the 1797-day, 1-hour, 43-minute period from Wednesday, 07 February 2018 at 23:17 UTC to Tuesday, 10 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[3962] elizabeth,warren [774] supreme,court [654] code,ethics [633] basic,code [624] bound,basic [606] court,bound [603] agree,elizabeth [600] warren,supreme [596] smash,agree [596] calltoactivism,smash Top Word Pairs in Tweet in G1:
[615] elizabeth,warren [590] code,ethics [589] bound,basic [589] basic,code [588] calltoactivism,smash [588] smash,agree [588] agree,elizabeth [587] supreme,court [587] warren,supreme [587] court,bound Top Word Pairs in Tweet in G2:
[288] elizabeth,warren [184] pandora,warren [183] elizabeth,pandora [183] ina,elizabeth [83] supreme,court [83] warren,calls [77] calls,supreme [77] student,loan [76] loan,forgiveness [76] court,reject Top Word Pairs in Tweet in G3:
[401] elizabeth,warren [119] senwarren,elizabeth [111] grand,daughter [111] warren,grand [110] mostlypeacefull,elizabeth [52] code,ethics [34] basic,code [30] warren,corruption [29] mpukita,senwarren [25] bound,basic Top Word Pairs in Tweet in G4:
[133] amazon,uber [133] uber,lyft [130] grubhub,reimburse [130] travel,abortion [130] abortion,workers [130] employees,need [130] lyft,doordash [130] need,travel [130] reimburse,employees [130] doordash,grubhub Top Word Pairs in Tweet in G5:
[243] elizabeth,warren [233] portal,until [233] live,elon [233] musk,concealing [233] dr,shiva [233] shiva,live [233] government,portal [233] elon,musk [233] concealing,government [233] until,elizabeth Top Word Pairs in Tweet in G6:
[135] elizabeth,warren [45] cnn,elizabeth [32] related,elizabeth [19] cnn,related [11] native,american [10] great,grandmother [9] warren,old [9] edward,norton [8] more,native [8] 12th,great Top Word Pairs in Tweet in G7:
[89] elizabeth,warren [16] jackposobiec,elizabeth [12] nypost,elizabeth [10] related,elizabeth [8] native,american [7] elizabeth,warren's [6] someone,faked [6] happy,someone [6] being,american [6] warren,happy Top Word Pairs in Tweet in G8:
[117] elizabeth,warren [24] joe,biden [13] george,santos [12] adam,schiff [9] jdcocchiarella,elizabeth [9] warren,joe [8] warren,expelled [8] warren,richard [7] calling,elizabeth [7] richard,blumenthal Top Word Pairs in Tweet in G9:
[79] elizabeth,warren [19] joe,biden [16] native,american [13] jimbourg,evelynpix [10] george,santos [10] warren,joe [9] mmpadellan,elizabeth [7] evelynpix,gop [7] kikimelendez,jimbourg [6] being,native Top Word Pairs in Tweet in G10:
[96] katie,porter [63] becomes,progressive [63] probably,read [63] law,professor [63] elizabeth,warren's [63] being,harvard [63] professor,becomes [63] warren's,guide [63] read,elizabeth [63] harvard,law Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: