The graph represents a network of 5,002 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 14:47 UTC.
The tweets in the network were tweeted over the 1756-day, 8-hour, 29-minute period from Tuesday, 22 May 2018 at 15:31 UTC to Tuesday, 14 March 2023 at 00:00 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 : 5002
Unique Edges : 1879
Edges With Duplicates : 8439
Total Edges : 10318
Number of Edge Types : 9
Tweet : 908
Mentions : 336
Retweet : 3655
MentionsInRetweet : 4069
Replies to : 472
Quote : 88
MentionsInReplyTo : 763
MentionsInQuote : 23
MentionsInQuoteReply : 4
Self-Loops : 1016
Reciprocated Vertex Pair Ratio : 0.00648967551622419
Reciprocated Edge Ratio : 0.0128956623681125
Connected Components : 771
Single-Vertex Connected Components : 528
Maximum Vertices in a Connected Component : 3543
Maximum Edges in a Connected Component : 8060
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 4.724574
Graph Density : 0.000204597225297044
Modularity : 0.479037
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,002 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 14:47 UTC.
The tweets in the network were tweeted over the 1756-day, 8-hour, 29-minute period from Tuesday, 22 May 2018 at 15:31 UTC to Tuesday, 14 March 2023 at 00:00 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:
[2256] elizabeth,warren [1597] bank,failures [1163] senwarren,bank [1134] direct,result [1132] financial,rules [1132] failures,direct [1131] weakening,financial [1131] result,leaders [1130] washington,weakening [1129] leaders,washington Top Word Pairs in Tweet in G1:
[1065] bank,failures [1046] senwarren,bank [964] financial,rules [964] failures,direct [964] direct,result [963] leaders,washington [963] washington,weakening [963] weakening,financial [963] result,leaders [961] 2018,president Top Word Pairs in Tweet in G2:
[406] elizabeth,warren [127] silicon,valley [125] valley,bank [116] kamala,harris [100] know,responsible [98] gone,know [97] bank,gone [96] warren,silicon [63] speak,elizabeth [58] harris,speak Top Word Pairs in Tweet in G3:
[249] bank,failures [210] entirely,avoidable [210] failures,entirely [205] wrote,caused [205] avoidable,wrote [205] quickly,prevent [205] washington,quickly [205] caused,washington [204] ewarren,bank [75] struggling,student Top Word Pairs in Tweet in G4:
[201] elizabeth,warren [177] strikedebt,elizabeth [172] student,loan [171] loan,borrowers [143] bailout,svb [143] 'millions,student [143] leaving,'millions [143] customers,leaving [143] svb,customers [139] borrowers,limbo' Top Word Pairs in Tweet in G5:
[146] valley,bank [146] silicon,valley [118] elizabeth,warren [87] bank,collapse [87] bank,deregulation [86] law,trump [86] trump,bill [86] spotlight,2018 [86] puts,spotlight [86] bill,sparked Top Word Pairs in Tweet in G6:
[64] elizabeth,warren [44] student,loan [40] over,past [40] one,mistaken [40] few,days [40] mistaken,unfolded [40] past,few [40] unfolded,over [39] nytopinion,one [39] sen,elizabeth Top Word Pairs in Tweet in G7:
[154] elizabeth,warren [127] barney,frank [108] warren,blames [108] blames,trump [107] frank,blames [104] crypto,panic [104] collapse,elizabeth [104] blames,crypto [91] panic,bank's [91] bank's,collapse Top Word Pairs in Tweet in G8:
[70] elizabeth,warren [66] senator,elizabeth [66] vs,unemployment [66] unemployment,fed [66] fed,chair [66] inflation,vs [66] vs,senator [66] issue,inflation [66] powell,vs [66] keep,system Top Word Pairs in Tweet in G9:
[84] bank,failures [75] entirely,avoidable [75] failures,entirely [60] banking,regulations [60] kept,strong [60] jobs,kept [60] fed,done [60] strong,banking [60] congress,fed [60] done,jobs Top Word Pairs in Tweet in G10:
[52] elizabeth,warren [44] kamala,harris [34] american,citizen [34] 13th,amendment [34] bans,involuntary [34] servitude,single [34] involuntarily,enslaved [34] single,american [34] involuntary,servitude [34] amendment,bans Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: