The graph represents a network of 21,715 Twitter users whose recent tweets contained "woke", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 3/8/2023 8:38:43 AM and 3/15/2023 8:38:43 AM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 15:59 UTC.
The tweets in the network were tweeted over the 3833-day, 10-hour, 25-minute period from Saturday, 15 September 2012 at 05:12 UTC to Wednesday, 15 March 2023 at 15:38 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 : 21715
Unique Edges : 9594
Edges With Duplicates : 41100
Total Edges : 50694
Number of Edge Types : 9
Retweet : 13187
MentionsInRetweet : 15234
Quote : 1122
Tweet : 3646
Replies to : 5951
MentionsInReplyTo : 10382
MentionsInQuoteReply : 196
MentionsInQuote : 177
Mentions : 799
Self-Loops : 4348
Reciprocated Vertex Pair Ratio : 0.0240885416666667
Reciprocated Edge Ratio : 0.0470438652256834
Connected Components : 3500
Single-Vertex Connected Components : 1356
Maximum Vertices in a Connected Component : 13445
Maximum Edges in a Connected Component : 37086
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.443981
Graph Density : 5.33763703648233E-05
Modularity : 0.478984
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 21,715 Twitter users whose recent tweets contained "woke", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 3/8/2023 8:38:43 AM and 3/15/2023 8:38:43 AM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 15:59 UTC.
The tweets in the network were tweeted over the 3833-day, 10-hour, 25-minute period from Saturday, 15 September 2012 at 05:12 UTC to Wednesday, 15 March 2023 at 15:38 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 : 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1473] defining,woke [1469] woke,without [1459] hard,time [1449] people,hard [1448] iamharaldur,people [1448] hate,minorities [1448] time,defining [1447] minorities,face [1447] without,accidentally [1447] accidentally,saying Top Word Pairs in Tweet in G1:
[396] define,woke [209] woke,actually [207] asked,woke [204] actually,means [202] talking,head [202] republican,talking [200] god,republican [200] speechless,asked [200] left,completely [200] oh,god Top Word Pairs in Tweet in G2:
[355] black,lives [355] lives,matter [341] woke,banks [312] woke,corporations [301] corporations,point [301] nearly,83 [301] movement,received [301] matter,anti [301] marxist,movement [301] 83,billion Top Word Pairs in Tweet in G3:
[1285] hard,time [1285] people,hard [1284] defining,woke [1284] woke,without [1284] iamharaldur,people [1283] hate,minorities [1283] saying,hate [1283] without,accidentally [1283] minorities,face [1283] accidentally,saying Top Word Pairs in Tweet in G4:
[38] last,night [35] woke,feeling [34] woke,morning [32] woke,go [28] go,broke [27] woke,today [26] silicon,valley [23] valley,bank [20] today,woke [20] define,woke Top Word Pairs in Tweet in G5:
[263] rest,cliff [263] dragging,rest [263] woke,weakest [263] humans,dragging [263] weakest,humans [262] someone,defined [262] made,think [262] cliff,made [262] defined,woke [261] dc_draino,someone Top Word Pairs in Tweet in G6:
[86] ronfilipkowski,woke [86] woke,banks [75] woke,left [75] word,woke [73] washing,machines [68] surprised,define [68] define,word [68] left,coming [68] anyone,surprised [67] drag,queens Top Word Pairs in Tweet in G7:
[31] former,ceo [31] companies,going [30] ceo,warns [30] 'perfect,storm' [30] collapse,'perfect [30] going,fail [30] fail,former [30] warns,svb [30] 'woke',companies [30] more,'woke' Top Word Pairs in Tweet in G8:
[382] self,righteous [380] adamserwer,sometimes [380] righteous,vicious [380] people,woke [380] sometimes,people [380] being,self [380] woke,mean [379] vicious,trivial [379] trivial,things [379] liberals,being Top Word Pairs in Tweet in G9:
[270] black,people [266] term,woke [264] being,alert [264] racial,injustices [264] systemic,racial [264] alert,systemic [263] people,referring [263] referring,being [263] woke,created [263] created,black Top Word Pairs in Tweet in G10:
[116] berniceking,those [115] truth,confront [115] word,#woke [115] those,using [115] #woke,fear [115] confront,reasons [115] mongering,dismissal [115] using,word [115] dismissal,truth [115] reasons,doing Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: