The graph represents a network of 6,318 Twitter users whose recent tweets contained "COVID", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 08:39 UTC.
The tweets in the network were tweeted over the 1022-day, 14-hour, 21-minute period from Tuesday, 24 March 2020 at 10:39 UTC to Wednesday, 11 January 2023 at 01:00 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 : 6318
Unique Edges : 2681
Edges With Duplicates : 10450
Total Edges : 13131
Number of Edge Types : 9
Retweet : 3849
MentionsInRetweet : 4278
MentionsInReplyTo : 2109
Replies to : 1178
Tweet : 1250
Mentions : 310
MentionsInQuote : 46
Quote : 93
MentionsInQuoteReply : 18
Self-Loops : 1439
Reciprocated Vertex Pair Ratio : 0.0186725247136356
Reciprocated Edge Ratio : 0.036660505237215
Connected Components : 1162
Single-Vertex Connected Components : 305
Maximum Vertices in a Connected Component : 3362
Maximum Edges in a Connected Component : 8273
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.328546
Graph Density : 0.00016266271345159
Modularity : 0.506299
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,318 Twitter users whose recent tweets contained "COVID", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 08:39 UTC.
The tweets in the network were tweeted over the 1022-day, 14-hour, 21-minute period from Tuesday, 24 March 2020 at 10:39 UTC to Wednesday, 11 January 2023 at 01:00 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 : COVID
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:
[817] covid,19 [544] covid,vaccine [463] vaccine,mandate [262] vaccinated,people [250] covid,many [250] people,know [248] covid,vax [247] still,covid [243] randpaul,many [241] know,still Top Word Pairs in Tweet in G1:
[84] covid,19 [18] vaccine,mandate [17] covid,vaccine [10] 19,vaccine [10] mandate,troops [7] pentagon,ditches [7] secretary,lloyd [7] lloyd,austin [7] 19,vaccination [7] drops,covid Top Word Pairs in Tweet in G2:
[192] people,know [191] randpaul,many [191] still,covid [190] vaccinated,people [189] hold,fauci [189] many,vaccinated [189] fauci,accountable [189] covid,many [188] know,still [188] many,lies Top Word Pairs in Tweet in G3:
[119] epoch,times' [119] zachary,stieber [119] times',zachary [119] thank,epoch [119] boom,thank [118] rwmalonemd,boom [26] during,covid [26] substack,rwmalonemd [26] hhs,became [26] ensnared,government Top Word Pairs in Tweet in G4:
[135] jonas,salk [134] estimated,billion [134] polio,vaccine [134] refused,patent [134] invented,polio [134] decision,cost [134] cost,estimated [134] patent,decision [134] vaccine,refused [134] salk,invented Top Word Pairs in Tweet in G5:
[169] covid,vax [167] vax,mandate [130] back,track [130] breaking,military [130] military,covid [130] mandate,gone [130] gone,re [130] re,getting [130] getting,country [130] country,back Top Word Pairs in Tweet in G6:
[56] heart,failure [54] failure,conspiracy [54] vaccinated,heart [54] theorist,early [54] instead,getting [54] early,instead [54] getting,vaccinated [54] conspiracy,theorist [54] wish,covid [54] covid,conspiracy Top Word Pairs in Tweet in G7:
[95] dr,fauci [87] ago,today [87] explosive,#darpadocs [87] under,oath [87] today,released [87] released,explosive [87] one,year [87] year,ago [87] appeared,lie [87] #darpadocs,exposing Top Word Pairs in Tweet in G8:
[65] vaccine,mandate [40] covid,19 [36] military,covid [31] covid,mandates [29] worst,policy [29] military,readiness [29] one,worst [29] over,secdef [29] policy,decisions [29] affecting,military Top Word Pairs in Tweet in G9:
[20] covid,vaccines [18] board,member [17] pfizer,board [17] twitter,lobbyist [17] covid,vaccine [16] alexberenson,tedlieu [14] scottgottliebmd,top [14] fly,biden [14] same,twitter [14] jabbed,fly Top Word Pairs in Tweet in G10:
[51] covid,vaccine [25] breaking,pentagon [23] young,healthy [22] covid,vaccines [18] iq,test [18] vaccine,mandate [18] failed,test [18] pandemic,iq [18] test,experts [18] experts,failed Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: