The graph represents a network of 5,708 Twitter users whose recent tweets contained "COVID-19", 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 07:04 UTC.
The tweets in the network were tweeted over the 1129-day, 9-hour, 3-minute period from Wednesday, 12 February 2020 at 14:57 UTC to Saturday, 18 March 2023 at 00:00 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 : 5708
Unique Edges : 2508
Edges With Duplicates : 9692
Total Edges : 12200
Number of Edge Types : 9
Retweet : 4064
MentionsInRetweet : 4671
Quote : 90
Tweet : 1131
Replies to : 593
MentionsInReplyTo : 1236
Mentions : 318
MentionsInQuoteReply : 60
MentionsInQuote : 37
Self-Loops : 1343
Reciprocated Vertex Pair Ratio : 0.00962034014774094
Reciprocated Edge Ratio : 0.0190573421813851
Connected Components : 1008
Single-Vertex Connected Components : 372
Maximum Vertices in a Connected Component : 2688
Maximum Edges in a Connected Component : 6631
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.501489
Graph Density : 0.000180411348926784
Modularity : 0.501927
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,708 Twitter users whose recent tweets contained "COVID-19", 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 07:04 UTC.
The tweets in the network were tweeted over the 1129-day, 9-hour, 3-minute period from Wednesday, 12 February 2020 at 14:57 UTC to Saturday, 18 March 2023 at 00:00 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-19
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:
[3680] covid,19 [700] twitter,files [676] 19,lie [626] lie,machine [623] great,covid [600] virality,project [577] files,#19 [571] #19,great [564] project,censorship [564] stanford,virality Top Word Pairs in Tweet in G1:
[716] covid,19 [523] twitter,files [522] 19,lie [521] great,covid [521] lie,machine [519] files,#19 [518] #19,great [517] virality,project [516] true,stories [515] censorship,true Top Word Pairs in Tweet in G2:
[329] covid,19 [25] 19,pandemic [21] raccoon,dogs [14] 19,vaccine [13] twitter,files [13] contra,covid [12] 19,vaccines [9] 19,origins [9] raccoon,dog [8] wuhan,market Top Word Pairs in Tweet in G3:
[169] covid,19 [74] 19,vaccination [73] germany,minister [73] health,karl [73] minister,health [73] effects,admitted [73] side,effects [73] free,side [73] claimed,covid [73] once,claimed Top Word Pairs in Tweet in G4:
[169] covid,19 [90] 19,vaccines [81] research,group [81] vaccines,kindly [81] findings,undeclared [81] components,covid [81] austrian,research [81] group,presents [81] presents,findings [81] share,others Top Word Pairs in Tweet in G5:
[208] surgeon,general [208] anyone,vaccine [208] florida,surgeon [208] study,shows [208] lancet,study [208] general,lancet [208] vaccine,more [208] breaking,florida [208] shows,anyone [207] texaslindsay_,breaking Top Word Pairs in Tweet in G6:
[263] casos,covid [203] rubngom95153827,#bastadeimposiciónimperial [151] uso,tapabocas [151] evitan,casos [151] indican,evitan [151] docentes,indican [151] caracas,docentes [151] #bastadeimposiciónimperial,escuelas [151] escuelas,refuerzan [151] tapabocas,caracas Top Word Pairs in Tweet in G7:
[140] evidence,suggesting [140] giant,evidence [140] pharmaceutical,giant [140] suggesting,increased [137] increased,risk [134] project_veritas,breaking [133] reveal,pharmaceutical [133] pfizer,documents [133] breaking,confidential [133] confidential,pfizer Top Word Pairs in Tweet in G8:
[106] par,laurent [106] site,créé [106] créé,par [106] incroyable,doctissimo [106] article,donne [106] laurent,alexandre [106] publier,article [106] doctissimo,célèbre [106] donne,raison [106] vient,publier Top Word Pairs in Tweet in G9:
[72] sapan,desai [69] richard,horton [69] until,consequences [69] horton,thelancet [69] rest,until [69] consequences,richard [69] thelancet,sapan [69] going,rest [69] keep,going [68] jikkyleaks,keep Top Word Pairs in Tweet in G10:
[115] covid,19 [41] 19,pandemic [40] twitter,files [37] flagging,true [37] content,'disinformation' [37] machine',flagging [37] china,role [37] against,china [37] tackle,'great [37] latest,twitter Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: