The graph represents a network of 21,687 Twitter users whose recent tweets contained "Woke", 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, 21 June 2022 at 16:45 UTC.
The tweets in the network were tweeted over the 1-hour, 59-minute period from Tuesday, 21 June 2022 at 14:15 UTC to Tuesday, 21 June 2022 at 16:14 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 : 21806
Unique Edges : 25870
Edges With Duplicates : 51369
Total Edges : 77239
Number of Edge Types : 5
Mentions : 41750
Replies to : 13001
Tweet : 10120
Retweet : 10666
MentionsInRetweet : 1702
Self-Loops : 10174
Reciprocated Vertex Pair Ratio : 0.0735842392370786
Reciprocated Edge Ratio : 0.137081444655651
Connected Components : 5490
Single-Vertex Connected Components : 2740
Maximum Vertices in a Connected Component : 9006
Maximum Edges in a Connected Component : 28927
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.621895
Graph Density : 5.75334604624554E-05
Modularity : 0.357425
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 21,687 Twitter users whose recent tweets contained "Woke", 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, 21 June 2022 at 16:45 UTC.
The tweets in the network were tweeted over the 1-hour, 59-minute period from Tuesday, 21 June 2022 at 14:15 UTC to Tuesday, 21 June 2022 at 16:14 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 : Woke
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2643] star,trek [1292] trek,woke [1284] old,star [1281] woke,old [1153] went,woke [1100] buzz,lightyear [1069] woke,movie [1043] went,broke [1038] movie,went [1036] lightyear,went Top Word Pairs in Tweet in G1:
[104] last,night [88] woke,morning [78] woke,feeling [78] don,know [60] good,morning [60] woke,today [59] woke,go [47] today,woke [45] go,broke [43] woke,late Top Word Pairs in Tweet in G2:
[560] woke,eu [556] fossil,fuel [556] fuel,power [556] power,plants [556] plants,restarting [556] restarting,over [556] over,europe [556] europe,joe [556] joe,gets [556] gets,tricycle Top Word Pairs in Tweet in G3:
[2532] star,trek [1251] trek,woke [1250] old,star [1247] woke,old [26] thatneilguy,woke [23] bartlettchrisj,thatneilguy [16] iainham42753216,thatneilguy [16] woke,means [15] antacsb,thatneilguy [14] being,woke Top Word Pairs in Tweet in G4:
[947] went,woke [943] buzz,lightyear [941] woke,movie [940] movie,went [940] went,broke [938] lightyear,went [99] america,first [99] first,legal [99] initiative,center [99] center,legal Top Word Pairs in Tweet in G5:
[285] being,woke [213] accepting,others [204] more,woke [203] bad,thing [201] republican,voters [200] clear,republican [200] voters,depend [200] depend,lot [200] lot,more [200] woke,policies Top Word Pairs in Tweet in G6:
[515] woke,handsome [514] handsome,af [514] af,shit [514] shit,gettin [514] gettin,ridiculous [12] jus,woke [12] woke,choosing [12] choosing,violence Top Word Pairs in Tweet in G7:
[55] terrificmoments,thatneilguy [54] zeeteeay,terrificmoments [42] queergang2,lewdtant [41] lewdtant,zeeteeay [36] toy,story [34] woke,disney [33] tim,allen [30] go,woke [28] disney,invested [28] invested,300 Top Word Pairs in Tweet in G8:
[396] hinkley,point [395] fao,dailymailuk [395] dailymailuk,construction [395] construction,workers [395] workers,hinkley [395] point,think [395] think,woke [395] woke,builders [395] builders,story [18] journothornhill,dailymailuk Top Word Pairs in Tweet in G9:
[139] woke,go [130] go,broke [108] go,woke [96] kroger,christyclarknc [74] christyclarknc,kroger [65] beer,wine [64] wine,go [63] kroger,excessive [63] excessive,alcohol [63] alcohol,use Top Word Pairs in Tweet in G10:
[373] gonna,go [373] go,sleep [373] sleep,beyoncé [373] beyoncé,woke [373] woke,girls [2] star,trek [2] woke,decided [2] decided,wanted [2] wanted,change [2] change,morning Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: