The graph represents a network of 12,541 Twitter users whose recent tweets contained "#TuckerIsKillingUs", 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, 22 July 2021 at 02:27 UTC.
The tweets in the network were tweeted over the 6-day, 17-hour, 6-minute period from Thursday, 15 July 2021 at 07:56 UTC to Thursday, 22 July 2021 at 01:03 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 : 12541
Unique Edges : 17556
Edges With Duplicates : 6249
Total Edges : 23805
Number of Edge Types : 5
Retweet : 15018
Tweet : 1812
Replies to : 2347
MentionsInRetweet : 3254
Mentions : 1374
Self-Loops : 1883
Reciprocated Vertex Pair Ratio : 0.00264011880534624
Reciprocated Edge Ratio : 0.0052663338636239
Connected Components : 934
Single-Vertex Connected Components : 754
Maximum Vertices in a Connected Component : 11250
Maximum Edges in a Connected Component : 21990
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.404403
Graph Density : 0.00011591326541448
Modularity : 0.527471
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 12,541 Twitter users whose recent tweets contained "#TuckerIsKillingUs", 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, 22 July 2021 at 02:27 UTC.
The tweets in the network were tweeted over the 6-day, 17-hour, 6-minute period from Thursday, 15 July 2021 at 07:56 UTC to Thursday, 22 July 2021 at 01:03 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 : #TuckerIsKillingUs
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:
[5597] tucker,carlson [3495] think,tucker [3115] fully,vaccinated [2748] anti,vax [2632] dangerous,anti [2590] retweet,think [2486] vax,rhetoric [2419] reply,#tuckeriskillingus [2324] #tuckeriskillingus,#tuckeriskillingus [2268] carlson,dangerous Top Word Pairs in Tweet in G1:
[1242] reply,#tuckeriskillingus [1138] tucker,carlson [1036] think,tucker [916] endangering,lives [914] carlson,endangering [914] lives,reply [907] lawyers,bring [907] bring,massive [907] massive,class [907] class,action Top Word Pairs in Tweet in G2:
[1826] tucker,carlson [1770] retweet,think [1571] video,retweet [1523] dangerous,anti [1521] anti,vax [1511] think,tucker [1459] vax,rhetoric [1458] carlson,dangerous [1407] rhetoric,criminal [1407] criminal,#tuckeriskillingus Top Word Pairs in Tweet in G3:
[928] tucker,carlson [714] #tuckeriskillingus,trending [660] #tuckeriskillingus,#tuckeriskillingus [511] tucker,carlson's [425] reply,#tuckeriskillingus [392] think,tucker [342] held,accountable [331] carlson's,reckless [331] reckless,commentary [331] commentary,caused Top Word Pairs in Tweet in G4:
[491] hashtag,#tuckeriskillingus [390] fulton,county [321] left,pushing [321] pushing,hashtag [321] #tuckeriskillingus,mean [321] mean,ratings [238] voter,fraud [237] #tuckeriskillingus,yep [237] yep,sure [237] sure,each Top Word Pairs in Tweet in G5:
[1239] #tuckeriskillingus,#tuckeriskillingus [400] tucker,carlson [265] anti,vax [255] meidastouch,occupydemocrats [249] vax,rhetoric [233] occupydemocrats,#tuckeriskillingus [199] held,accountable [180] agrees,tucker [180] carlson,held [180] rhetoric,misinformation Top Word Pairs in Tweet in G6:
[21] tucker,carlson [19] #tuckeriskillingus,trending [17] #tuckercarlson,#tuckeriskillingus [15] delta,variant [14] #tuckeriskillingus,#tuckeriskillingus [14] #tuckeriskillingus,#tuckerlies [14] #tuckerlies,again [13] #dougducey,#billlee [13] #gregabbott,#maga [13] #mikeparson,#tatereeves Top Word Pairs in Tweet in G7:
[2535] fully,vaccinated [507] billy,lee [507] lee,fully [507] vaccinated,ron [507] ron,desantis [507] desantis,fully [507] vaccinated,greg [507] greg,abbott [507] abbott,fully [507] vaccinated,kristi Top Word Pairs in Tweet in G8:
[474] fox,news [312] biden,100 [312] 100,right [312] right,facebook [312] facebook,killing [312] killing,fox [312] news,killing [312] killing,#tuckeriskillingus [158] virus,killing [158] killing,hundreds Top Word Pairs in Tweet in G9:
[271] knows,exactly [271] exactly,doing [271] doing,#tuckeriskillingus [145] tucker,carlson [109] think,tucker [102] anti,vax [101] dangerous,anti [99] vax,rhetoric [98] retweet,think [96] carlson,dangerous Top Word Pairs in Tweet in G10:
[197] dangerous,anti [172] video,occupydemocrats [149] tucker,carlson [123] #tuckeriskillingus,#demvoice1 [113] occupydemocrats,#tuckeriskillingus [113] #tuckeriskillingus,trending [110] vaccine,lies [109] public,health [105] think,tucker [104] retweet,think Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: