The graph represents a network of 5,605 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 08:03 UTC.
The tweets in the network were tweeted over the 1062-day, 3-hour, 0-minute period from Tuesday, 10 March 2020 at 22:00 UTC to Monday, 06 February 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 : 5605
Unique Edges : 2036
Edges With Duplicates : 10609
Total Edges : 12645
Number of Edge Types : 9
Replies to : 1002
MentionsInReplyTo : 1796
MentionsInRetweet : 4390
Retweet : 3970
Mentions : 344
Tweet : 930
Quote : 134
MentionsInQuoteReply : 31
MentionsInQuote : 48
Self-Loops : 1200
Reciprocated Vertex Pair Ratio : 0.011371237458194
Reciprocated Edge Ratio : 0.0224867724867725
Connected Components : 811
Single-Vertex Connected Components : 285
Maximum Vertices in a Connected Component : 3411
Maximum Edges in a Connected Component : 8784
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.189375
Graph Density : 0.000192547568609398
Modularity : 0.477189
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,605 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 08:03 UTC.
The tweets in the network were tweeted over the 1062-day, 3-hour, 0-minute period from Tuesday, 10 March 2020 at 22:00 UTC to Monday, 06 February 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-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:
[4371] covid,19 [677] 19,vaccine [611] healthbyjames,breaking [428] 19,vaccines [390] without,taking [377] vs,covid [369] covid,vaccine [361] more,myocarditis [357] myocarditis,covid [355] vax,530 Top Word Pairs in Tweet in G1:
[770] covid,19 [526] healthbyjames,breaking [333] 19,vaccine [204] breaking,cdc [162] icd,10 [160] codes,doctors [160] take,covid [159] billing,codes [159] track,people [159] keep,track Top Word Pairs in Tweet in G2:
[319] vs,covid [317] 530,vs [317] vax,530 [316] covid,itself [316] published,bmj [316] bmj,shows [316] itself,vax [316] shows,covid [316] more,myocarditis [316] 5x,more Top Word Pairs in Tweet in G3:
[228] covid,19 [22] 19,vaccine [16] publicly,displayed [16] being,publicly [16] driving,down [16] using,trucks [16] down,street [16] trucks,driving [15] vaccine,being [15] join,campaign Top Word Pairs in Tweet in G4:
[273] covid,19 [252] big,tech [252] started,big [252] censorship,started [252] censorship,scientifically [252] tech,censorship [252] information,challenged [252] scientifically,accurate [252] accurate,information [252] 19,censorship Top Word Pairs in Tweet in G5:
[287] covid,19 [85] 19,vaccines [77] digital,qr [77] certificate,paper [77] click,link [77] vaccines,covid [77] vaccine,click [77] card,boosters [77] exemption,letters [77] 19,digital Top Word Pairs in Tweet in G6:
[391] covid,19 [228] taking,vaccine [228] without,taking [114] email,thecovid19agenda [114] send,email [114] qr,scan [114] 19,passports [114] send,dm [114] vaccine,click [114] card,without Top Word Pairs in Tweet in G7:
[123] sarah,died [123] please,listen [123] baltner's,mother [123] 14,yr [123] died,heart [123] listen,daughter [123] yr,old [123] sarah,baltner's [123] story,please [123] daughter,story Top Word Pairs in Tweet in G8:
[162] regional,cluster [162] sub,regional [162] cluster,reports [162] reports,indicate [159] school,aged [158] indicate,estimated [157] million,school [157] aged,children [157] tigray,sub [155] estimated,million Top Word Pairs in Tweet in G9:
[120] covid,19 [34] 19,ce [21] contre,covid [21] ils,ont [19] même,seul [19] actuellement,suspendus [19] 160,médecins [19] seul,resterait [19] suspendu,serait [19] plus,160 Top Word Pairs in Tweet in G10:
[153] covid,19 [52] viral,evolution [51] future,covid [51] evolution,friend [51] hold,covid [51] future,hold [51] 19,future [51] friend,future [50] arijitchakrav,viral [26] cause,death Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G7:
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Top Mentioned in G9:
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: