The graph represents a network of 8,140 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, 21 June 2022 at 14:51 UTC.
The requested start date was Tuesday, 21 June 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 4-day, 14-hour, 37-minute period from Thursday, 16 June 2022 at 08:08 UTC to Monday, 20 June 2022 at 22:46 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 : 8140
Unique Edges : 2604
Edges With Duplicates : 11797
Total Edges : 14401
Number of Edge Types : 5
Retweet : 5770
MentionsInRetweet : 6056
Tweet : 709
Replies to : 947
Mentions : 919
Self-Loops : 731
Reciprocated Vertex Pair Ratio : 0.00246241575946086
Reciprocated Edge Ratio : 0.00491273432449903
Connected Components : 933
Single-Vertex Connected Components : 445
Maximum Vertices in a Connected Component : 5948
Maximum Edges in a Connected Component : 11977
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.536508
Graph Density : 0.000116752144028222
Modularity : 0.512608
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,140 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, 21 June 2022 at 14:51 UTC.
The requested start date was Tuesday, 21 June 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 4-day, 14-hour, 37-minute period from Thursday, 16 June 2022 at 08:08 UTC to Monday, 20 June 2022 at 22:46 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:
[5945] elizabeth,warren [2440] senator,elizabeth [1985] geotracking,data [1984] cell,phone [1983] warren,others [1983] restrict,sale [1983] sale,cell [1983] phone,geotracking [1981] others,restrict [1979] dineshdsouza,senator Top Word Pairs in Tweet in G1:
[2023] elizabeth,warren [1935] senator,elizabeth [1935] warren,others [1935] others,restrict [1935] restrict,sale [1935] sale,cell [1935] cell,phone [1935] phone,geotracking [1935] geotracking,data [1934] dineshdsouza,senator Top Word Pairs in Tweet in G2:
[931] elizabeth,warren [908] warren,wanted [908] wanted,robert [908] robert,kennedy [908] kennedy,book [908] book,banned [908] banned,amazon [907] amazon,response [907] response,author [907] author,john Top Word Pairs in Tweet in G3:
[325] elizabeth,warren [66] location,data [45] health,location [44] ban,brokers [44] brokers,trading [44] bernie,sanders [40] senators,led [40] warren,ban [39] led,elizabeth [38] democrat,senators Top Word Pairs in Tweet in G4:
[340] extremist,supreme [340] supreme,court [340] court,poised [340] poised,overturn [340] overturn,roe [340] roe,wade [340] wade,states [340] states,seeking [340] seeking,criminalize [340] criminalize,essential Top Word Pairs in Tweet in G5:
[299] elizabeth,warren [298] senator,elizabeth [297] wallstreetquee2,senator Top Word Pairs in Tweet in G6:
[293] elizabeth,warren [240] breaking,elizabeth [240] warren,calls [240] calls,insurrection [240] insurrection,supreme [240] supreme,court [240] court,newly [240] newly,released [240] released,video [239] themikelcrump,breaking Top Word Pairs in Tweet in G7:
[226] elizabeth,warren [116] cynthiaharless1,elizabeth [46] stacey,abrams [46] katie,porter [30] cynthiaharless1,still [30] still,hillary [30] hillary,maybe [30] maybe,stacey [30] abrams,vp [30] vp,elizabeth Top Word Pairs in Tweet in G8:
[220] elizabeth,warren [214] sen,elizabeth [201] time,waste' [201] warren,outlined [201] outlined,several [201] several,ways [201] ways,biden [201] biden,admin [201] admin,protect [197] nowthisnews,'there Top Word Pairs in Tweet in G9:
[46] elizabeth,warren [23] location,data [23] bernie,sanders [20] pocahontas,ban [20] ban,tracking [20] tracking,ballot [20] ballot,mules' [20] mules',location [20] data,bill [20] bill,co Top Word Pairs in Tweet in G10:
[117] elizabeth,warren [49] nathaliejacoby1,elizabeth [27] democrat,senators [27] senators,led [27] led,elizabeth [27] warren,ban [27] ban,brokers [27] brokers,trading [27] trading,people's [27] people's,health Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: