The graph represents a network of 17,209 Twitter users whose recent tweets contained "Warren", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 27 February 2020 at 17:30 UTC.
The tweets in the network were tweeted over the 49-minute period from Thursday, 27 February 2020 at 15:43 UTC to Thursday, 27 February 2020 at 16:33 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 : 17209
Unique Edges : 23558
Edges With Duplicates : 2440
Total Edges : 25998
Number of Edge Types : 5
MentionsInRetweet : 4987
Retweet : 11665
Replies to : 3262
Mentions : 3808
Tweet : 2276
Self-Loops : 2323
Reciprocated Vertex Pair Ratio : 0.00475133214920071
Reciprocated Edge Ratio : 0.00945772749370221
Connected Components : 1670
Single-Vertex Connected Components : 870
Maximum Vertices in a Connected Component : 13958
Maximum Edges in a Connected Component : 22664
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.282549
Graph Density : 7.64083717235846E-05
Modularity : 0.761626
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 17,209 Twitter users whose recent tweets contained "Warren", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 27 February 2020 at 17:30 UTC.
The tweets in the network were tweeted over the 49-minute period from Thursday, 27 February 2020 at 15:43 UTC to Thursday, 27 February 2020 at 16:33 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 : TwitterSearch
Graph Term : 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:
[5420] elizabeth,warren [1068] warren,klobuchar [1007] buttigieg,warren [999] border,wall [854] klobuchar,steyer [812] health,care [801] open,borders [799] biden,buttigieg [790] sanders,biden [788] hhsgov,usaid Top Word Pairs in Tweet in G1:
[560] elizabeth,warren [137] public,health [134] trump,administration [134] administration,bungling [134] bungling,response [134] response,coronavirus [134] coronavirus,putting [134] putting,public [134] health,economy [134] economy,risk Top Word Pairs in Tweet in G2:
[390] elizabeth,warren [377] super,delegates [150] bernie,universal [150] universal,warren [121] voting,bernie [115] warren,supporter [114] ought,sway [114] sway,election [112] super,delegate [111] bernie,cause Top Word Pairs in Tweet in G3:
[753] open,borders [752] sanders,biden [751] waiting,schumer [751] schumer,pelosi [751] pelosi,sanders [751] biden,buttigieg [751] buttigieg,warren [751] warren,klobuchar [751] klobuchar,steyer [751] steyer,coronavirus Top Word Pairs in Tweet in G4:
[763] hhsgov,usaid [723] border,wall [705] combat,coronavirus [702] bill,transfer [698] racist,border [697] coronavirus,poses [697] poses,serious [697] serious,health [697] health,diplomatic [697] diplomatic,economic Top Word Pairs in Tweet in G5:
[186] elizabeth,warren [35] warren,make [34] heritage,claims [32] citizens,call [32] make,amends [31] cherokee,citizens [31] call,warren [30] amends,'dangerous' [30] 'dangerous',heritage [22] bernie,warren Top Word Pairs in Tweet in G6:
[488] elizabeth,warren [325] one,best [325] best,things [325] things,elizabeth [325] warren,men [325] men,ages [325] ages,positions [325] positions,society [325] society,assume [325] assume,re Top Word Pairs in Tweet in G7:
[349] against,muslims [327] violence,against [326] muslims,india [319] differences,between [319] between,sanders [319] sanders,warren [319] warren,violence [319] india,speak [319] speak,volumes [59] elizabeth,warren Top Word Pairs in Tweet in G8:
[465] watch,warren [465] warren,name [465] name,billionaire [465] billionaire,best [465] best,thing [465] thing,ll [465] ll,see [465] see,day [26] elizabeth,warren [9] warren,better Top Word Pairs in Tweet in G9:
[225] elizabeth,warren [128] warren,unsurprisingly [128] unsurprisingly,perfectly [128] perfectly,explains [128] explains,broad [128] broad,cancellation [128] cancellation,student [128] student,loan [128] loan,debt [128] debt,stands Top Word Pairs in Tweet in G10:
[102] htakesaction,warren [71] warren,buttigieg [71] buttigieg,klobuchar [69] sanders,16 [69] steyer,15 [68] 36,sanders [68] 16,steyer [66] biden,36 [65] south,carolina [65] 15,warren Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: