The graph represents a network of 11,297 Twitter users whose recent tweets contained "#SayNoToJenner", 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 Tuesday, 27 April 2021 at 04:28 UTC.
The tweets in the network were tweeted over the 3-day, 2-hour, 9-minute period from Saturday, 24 April 2021 at 01:43 UTC to Tuesday, 27 April 2021 at 03:53 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 : 11297
Unique Edges : 19591
Edges With Duplicates : 3501
Total Edges : 23092
Number of Edge Types : 5
Replies to : 2253
Mentions : 850
Retweet : 14286
Tweet : 2471
MentionsInRetweet : 3232
Self-Loops : 2531
Reciprocated Vertex Pair Ratio : 0.00233980324381813
Reciprocated Edge Ratio : 0.0046686826887368
Connected Components : 1481
Single-Vertex Connected Components : 1336
Maximum Vertices in a Connected Component : 9443
Maximum Edges in a Connected Component : 20836
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.551121
Graph Density : 0.000147706804258244
Modularity : 0.533925
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,297 Twitter users whose recent tweets contained "#SayNoToJenner", 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 Tuesday, 27 April 2021 at 04:28 UTC.
The tweets in the network were tweeted over the 3-day, 2-hour, 9-minute period from Saturday, 24 April 2021 at 01:43 UTC to Tuesday, 27 April 2021 at 03:53 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 : #SayNoToJenner
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:
[4460] #saynotojenner,#saynotojenner [4007] caitlyn,jenner [3652] reality,tv [2194] #saynotojenner,trending [1984] remember,caitlyn [1862] someone,car [1859] hit,someone [1856] compensate,family [1855] car,killed [1854] killed,refused Top Word Pairs in Tweet in G1:
[1492] reality,tv [1358] need,trump [1358] trump,loving [1358] loving,reality [1358] tv,stars [1358] stars,screwing [1358] screwing,america's [1358] america's,largest [1358] largest,state [1358] state,seriously Top Word Pairs in Tweet in G2:
[2699] #saynotojenner,#saynotojenner [1293] caitlyn,jenner [606] reality,tv [400] transgender,woman [361] jenner,running [356] running,republican [331] again,#saynotojenner [307] last,time [265] remember,caitlyn [264] another,rich Top Word Pairs in Tweet in G3:
[72] caitlyn,jenner [37] #saynotojenner,trending [31] reality,tv [23] #saynotojenner,#saynotojenner [21] trans,people [19] running,governor [19] jenner,running [16] #saynotojenner,transphobic [14] office,#saynotojenner [13] trans,woman Top Word Pairs in Tweet in G4:
[1207] caitlyn,jenner [1180] remember,caitlyn [1179] hey,yall [1179] yall,remember [1179] jenner,hit [1179] hit,someone [1179] someone,car [1179] car,killed [1179] killed,refused [1179] refused,compensate Top Word Pairs in Tweet in G5:
[654] #saynotojenner,#saynotojenner [380] #saynotojenner,trending [376] 000,fast [376] fast,replies [376] hashtag,#saynotojenner [321] replies,hashtag [150] another,bad [141] reallyamerican1,#saynotojenner [105] watch,full [105] full,#saynotojenner Top Word Pairs in Tweet in G6:
[729] transgender,woman [712] woman,#saynotojenner [712] #saynotojenner,trans [712] trans,course [711] course,idiot [711] idiot,republican [711] republican,gonna [711] gonna,trans [711] trans,run [711] run,republican Top Word Pairs in Tweet in G7:
[571] reality,tv [512] public,office [488] america,learned [488] learned,enough [488] enough,comes [488] comes,electing [488] electing,self [488] self,absorbed [488] absorbed,self [488] self,centered Top Word Pairs in Tweet in G8:
[642] caitlyn,jenner [496] jenner,running [482] wait,caitlyn [482] running,same [482] same,party [482] party,ban [482] ban,trans [482] trans,serving [482] serving,military [482] military,puts Top Word Pairs in Tweet in G9:
[598] reality,tv [536] #saynotojenner,trending [492] public,office [462] last,time [462] again,#saynotojenner [458] remember,last [458] time,reality [458] tv,idiot [458] idiot,elected [458] elected,public Top Word Pairs in Tweet in G10:
[157] reality,star [113] last,time [107] thought,alone [107] alone,absurd [107] absurd,forgotten [107] forgotten,happened [107] happened,last [107] time,voted [107] voted,five [107] five,rate 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:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: