The graph represents a network of 5,550 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 15:47 UTC.
The tweets in the network were tweeted over the 1621-day, 4-hour, 31-minute period from Thursday, 06 September 2018 at 20:28 UTC to Tuesday, 14 February 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 : 5550
Unique Edges : 1956
Edges With Duplicates : 10202
Total Edges : 12158
Number of Edge Types : 9
Retweet : 4006
MentionsInRetweet : 5015
Replies to : 807
MentionsInReplyTo : 1644
Tweet : 462
Quote : 58
Mentions : 142
MentionsInQuote : 14
MentionsInQuoteReply : 10
Self-Loops : 559
Reciprocated Vertex Pair Ratio : 0.0112215453671048
Reciprocated Edge Ratio : 0.0221940393151554
Connected Components : 484
Single-Vertex Connected Components : 215
Maximum Vertices in a Connected Component : 4063
Maximum Edges in a Connected Component : 9512
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.289642
Graph Density : 0.000204825477847644
Modularity : 0.498425
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,550 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 15:47 UTC.
The tweets in the network were tweeted over the 1621-day, 4-hour, 31-minute period from Thursday, 06 September 2018 at 20:28 UTC to Tuesday, 14 February 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:
[2067] elizabeth,warren [1391] watch,market [1391] debacle,passes [1391] work,watch [1391] market,collapse [1391] tax,hike [1391] biden,tax [1391] massive,biden [1391] hike,work [1391] collapse,debacle Top Word Pairs in Tweet in G1:
[1378] collapse,debacle [1378] tax,hike [1378] market,collapse [1378] debacle,passes [1378] hike,work [1378] watch,market [1378] work,watch [1378] massive,biden [1378] biden,tax [1377] dbongino,massive Top Word Pairs in Tweet in G2:
[714] child,care [709] year,old [708] massachusetts,child [708] infant,year [708] average,ve [708] plan,make [708] make,much [708] month,average [708] care,infant [708] 128,month Top Word Pairs in Tweet in G3:
[395] elizabeth,warren [388] pow,wow [388] chiefs,#superbowl [388] wow,davarechad [388] city,chiefs [388] warren,celebrates [388] davarechad,drefanzor [388] kansas,city [388] #superbowl,win [388] win,pow Top Word Pairs in Tweet in G4:
[194] child,care [178] senators,young [178] know,hard [178] hard,find [178] kids,home [178] home,know [178] young,kids [178] affordable,child [178] few,senators [178] find,affordable Top Word Pairs in Tweet in G5:
[172] elizabeth,warren [38] bernie,sanders [35] energy,use [35] disclose,energy [35] miners,disclose [34] warren,miners [20] warren,bernie [15] social,security [15] 'immediate,action' [14] security,checks Top Word Pairs in Tweet in G6:
[88] crypto,community [84] cointelegraph,senator [65] ed,go [65] wsj,ed [65] go,unnoticed [65] senator,warren's [65] warren's,wsj [65] unnoticed,crypto [64] regulated,securities [50] elizabeth,warren Top Word Pairs in Tweet in G7:
[97] proud,join [77] child,care [55] quality,child [50] high,quality [50] affordable,high [49] care,massachusetts [49] massachusetts,nation [49] family,deserves [49] nation,proud [49] access,affordable Top Word Pairs in Tweet in G8:
[152] elizabeth,warren [105] social,security [70] bernie,sanders [70] 400,social [70] warren,democrats [70] additional,400 [70] pay,retirees [70] sanders,elizabeth [70] retirees,additional [70] democrats,pay Top Word Pairs in Tweet in G9:
[52] elizabeth,warren [12] native,american [11] jaxalemany,alice_crites [11] elizabeth,warren's [11] alice_crites,washingtonpost [9] warren's,claims [9] deep,dive [9] claims,native [9] washingtonpost,deep [9] dive,elizabeth Top Word Pairs in Tweet in G10:
[100] elizabeth,warren [60] collinrugg,elizabeth [58] stocks,support [58] individual,stocks [58] congress,members [58] trading,individual [58] warren,called [58] called,banning [58] members,trading [58] banning,congress Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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: