The graph represents a network of 6,397 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 11:50 UTC.
The tweets in the network were tweeted over the 1432-day, 22-hour, 5-minute period from Thursday, 04 April 2019 at 02:55 UTC to Tuesday, 07 March 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 : 6397
Unique Edges : 2986
Edges With Duplicates : 10844
Total Edges : 13830
Number of Edge Types : 9
Retweet : 3854
MentionsInRetweet : 4500
MentionsInReplyTo : 2206
Replies to : 1299
Tweet : 1291
Mentions : 393
MentionsInQuote : 124
Quote : 139
MentionsInQuoteReply : 24
Self-Loops : 1578
Reciprocated Vertex Pair Ratio : 0.01798830760006
Reciprocated Edge Ratio : 0.035340892357532
Connected Components : 1199
Single-Vertex Connected Components : 271
Maximum Vertices in a Connected Component : 3050
Maximum Edges in a Connected Component : 8101
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.659497
Graph Density : 0.000165977387578977
Modularity : 0.499207
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,397 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 11:50 UTC.
The tweets in the network were tweeted over the 1432-day, 22-hour, 5-minute period from Thursday, 04 April 2019 at 02:55 UTC to Tuesday, 07 March 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:
[1301] covid,19 [320] lab,leak [271] covid,vaccines [197] public,health [194] false,claims [189] claims,covid [186] being,sued [186] pfizer,being [183] breaking,pfizer [182] alleged,false Top Word Pairs in Tweet in G1:
[75] covid,19 [9] 19,restrictions [8] contra,covid [8] dr,fauci [8] against,death [8] protects,against [8] restrictions,county [8] state,rolls [8] shows,bivalent [8] rolls,back Top Word Pairs in Tweet in G2:
[142] covid,19 [72] vigilantfox,barnes_law [59] contract,between [58] lied,pfizer [58] pfizer,contract [58] barnes_law,time [58] robert,barnes [58] recognize,lied [58] trump,recognize [58] barnes,barnes_law Top Word Pairs in Tweet in G3:
[52] lab,leak [51] leak,theory [44] covid,19 [31] trump,talking [25] talking,point [24] breaking,cnn [24] 19,lab [24] due,being [24] cnn,told [24] being,trump Top Word Pairs in Tweet in G4:
[127] modern,history [121] breakdown,public [121] public,health [121] health,leadership [121] biggest,tragic [121] leadership,modern [121] unethical,breakdown [121] tragic,unethical [120] history,ht [120] rwmalonemd,biggest Top Word Pairs in Tweet in G5:
[133] davidwolfe,breaking [124] sued,3t [124] breaking,pfizer [124] being,sued [124] 3t,alleged [124] false,claims [124] alleged,false [124] claims,covid [124] covid,vaccines [124] pfizer,being Top Word Pairs in Tweet in G6:
[26] cow,huge [26] holy,cow [26] news,probably [26] another,massive [26] probably,ten [26] piece,news [26] likes,disappear [26] disappear,twitterhole [26] huge,piece [26] massive,holy Top Word Pairs in Tweet in G7:
[142] 5x,vaxxed [83] djokovic,denied [83] denied,entry [75] biden,fauci [74] bourla,walensky [74] kamala,bourla [74] fauci,kamala [72] covid,unvaccinated [72] walensky,covid [72] unvaccinated,djokovic Top Word Pairs in Tweet in G8:
[52] project,fear [48] breaking,project [48] fear,massive [48] govt,plotting [48] covid,tyranny [48] plotting,covid [48] whatsapp,leak [48] leak,reveals [48] reveals,british [48] british,govt Top Word Pairs in Tweet in G9:
[164] covid,19 [138] 19,#somoslosdechávez [138] hospitalizados,covid [138] mejora,hospitalizados [138] terapia,anticoagulantes [138] anticoagulantes,mejora [118] vtvcanal8,terapia [20] 19,silicio [20] armas,contra [20] oro,cobre Top Word Pairs in Tweet in G10:
[47] covid,19 [19] long,covid [12] drericding,cdcdirector [12] things,worry [10] sars,cov [8] gringogranadino,cobrakaai [7] renal,endocrine [7] 19,conditions [7] cardiovascular,pulmonary [7] emerging,evidence Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: