The graph represents a network of 5,319 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 12/28/2022 5:00:34 PM. The network was obtained from Twitter on Thursday, 29 December 2022 at 08:04 UTC.
The tweets in the network were tweeted over the 1051-day, 0-hour, 44-minute period from Wednesday, 12 February 2020 at 00:15 UTC to Thursday, 29 December 2022 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 : 5319
Unique Edges : 2276
Edges With Duplicates : 9775
Total Edges : 12051
Number of Edge Types : 9
Retweet : 4286
MentionsInRetweet : 5128
Tweet : 1056
Replies to : 445
MentionsInReplyTo : 697
Mentions : 308
Quote : 63
MentionsInQuote : 65
MentionsInQuoteReply : 3
Self-Loops : 1271
Reciprocated Vertex Pair Ratio : 0.00674321122653545
Reciprocated Edge Ratio : 0.0133960897900072
Connected Components : 906
Single-Vertex Connected Components : 327
Maximum Vertices in a Connected Component : 2632
Maximum Edges in a Connected Component : 6715
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.698666
Graph Density : 0.000195287905067735
Modularity : 0.474219
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,319 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 12/28/2022 5:00:34 PM. The network was obtained from Twitter on Thursday, 29 December 2022 at 08:04 UTC.
The tweets in the network were tweeted over the 1051-day, 0-hour, 44-minute period from Wednesday, 12 February 2020 at 00:15 UTC to Thursday, 29 December 2022 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-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:
[4602] covid,19 [799] origin,covid [738] used,censored [738] responsible,creation [738] govt,responsible [738] video,origin [738] censored,twitter [738] 19,used [738] twitter,govt [737] creation,covid Top Word Pairs in Tweet in G1:
[1624] covid,19 [756] origin,covid [702] used,censored [702] creation,covid [702] censored,twitter [702] govt,responsible [702] twitter,govt [702] 19,used [702] video,origin [702] responsible,creation Top Word Pairs in Tweet in G2:
[271] covid,19 [18] travelers,china [16] 19,cases [13] 19,testing [13] negative,covid [11] 19,test [9] #covid,19 [9] covid,cases [8] cases,india [8] casos,covid Top Word Pairs in Tweet in G3:
[300] project_veritas,#exposefauci [299] tweeting,project_veritas [299] wrongfully,suspended [299] suspended,tweeting [299] year,wrongfully [297] video,showing [297] #exposefauci,video [295] ericspracklen,year [41] covid,19 [20] vaccine,disaster Top Word Pairs in Tweet in G4:
[134] immune,system [133] more,evidence [133] failed,boosters [133] repeated,failed [133] weakening,immune [133] many,reasons [133] system,many [133] frequent,repeated [133] boosters,weakening [133] evidence,frequent Top Word Pairs in Tweet in G5:
[99] censorship,network [96] dhs,backed [96] network,'propaganda [96] cisa,censorship [96] slams,cisa [94] elonmusk,slams [94] ',dhs [94] 'propaganda,platform [94] #twitterfiles,elonmusk [94] thread,#twitterfiles Top Word Pairs in Tweet in G6:
[138] covid,19 [97] cometeu,crime [96] bolsonaro,cometeu [87] informações,falsas [83] divulgar,informações [82] falsas,covid [53] crime,divulgar [45] conclui,presidente [44] crime,ao [41] bolsonaro,não Top Word Pairs in Tweet in G7:
[249] covid,19 [132] combate,covid [132] combinación,mascarilla [132] mascarilla,vacunas [132] mejor,combinación [132] 19,mejor [132] vacunas,sé [132] consciente,cuídate [132] sé,consciente [131] #prevención,combate Top Word Pairs in Tweet in G8:
[115] covid,19 [75] chinese,virologist [75] virologist,drlimengyan1 [68] working,more [67] drlimengyan1,tells [67] bioweapon,china [67] ccp,unrestricted [67] unrestricted,bioweapon [67] tells,covid [67] 19,ccp Top Word Pairs in Tweet in G9:
[108] ed,dowd [107] rate,increase [107] increase,directly [107] disability,rate [105] bombshell,ed [103] reports,disability [101] back,shall [101] well,back [101] directly,related [101] today,bombshell Top Word Pairs in Tweet in G10:
[71] covid,19 [21] 19,humans [21] humans,100 [21] versus,covid [21] ivermectin,versus [21] 100,shown [21] positive,results [21] shown,positive [21] results,29 [21] analysis,63 Top Replied-To in Entire Graph:
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Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: