The graph represents a network of 7,054 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 08:24 UTC.
The tweets in the network were tweeted over the 922-day, 7-hour, 30-minute period from Sunday, 21 June 2020 at 17:29 UTC to Saturday, 31 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 : 7054
Unique Edges : 3911
Edges With Duplicates : 10457
Total Edges : 14368
Number of Edge Types : 9
Retweet : 3584
MentionsInRetweet : 4220
Replies to : 1412
MentionsInReplyTo : 2700
Tweet : 1735
Mentions : 446
Quote : 172
MentionsInQuote : 55
MentionsInQuoteReply : 44
Self-Loops : 2040
Reciprocated Vertex Pair Ratio : 0.0231488138030194
Reciprocated Edge Ratio : 0.0452501405283867
Connected Components : 1592
Single-Vertex Connected Components : 413
Maximum Vertices in a Connected Component : 2544
Maximum Edges in a Connected Component : 6300
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 9.132697
Graph Density : 0.000143029822682817
Modularity : 0.531092
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,054 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 08:24 UTC.
The tweets in the network were tweeted over the 922-day, 7-hour, 30-minute period from Sunday, 21 June 2020 at 17:29 UTC to Saturday, 31 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
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:
[1047] covid,19 [127] covid,vaccine [104] covid,vaccines [74] long,covid [71] federal,government [70] died,covid [67] against,covid [65] given,20 [65] prescribing,remdesivir [65] bonus,federal Top Word Pairs in Tweet in G1:
[99] covid,19 [12] see,more [11] top,story [9] public,health [8] during,covid [8] covid,failures [8] account,covid [8] covid,tests [8] academia,account [7] failures,wsj Top Word Pairs in Tweet in G2:
[74] covid,19 [38] back,covid [38] cdc,guidelines [35] going,under [35] masking,switching [35] under,radar [35] guidelines,masking [35] 19,community [35] looks,cdc [35] switching,back Top Word Pairs in Tweet in G3:
[49] covid,19 [29] cdc,used [29] control,covid [29] secret,backchannel [29] twitter,control [29] backchannel,twitter [29] used,secret [29] 19,narrative [28] kylenabecker,cdc [23] censorship,network Top Word Pairs in Tweet in G4:
[30] covid,19 [19] see,number [19] hospitals,feds [19] number,licensed [19] emergency,taxpayers [19] feds,emergency [19] taxpayers,see [19] billions,hospitals [18] kksheld,billions [18] licensed,staffe Top Word Pairs in Tweet in G5:
[5] numbers,back [5] worldwide,many [5] 2020,replicated [5] many,times [5] april,2020 [5] times,over [5] low,infection [5] back,april [5] replicated,worldwide [5] over,low Top Word Pairs in Tweet in G6:
[29] draseemmalhotra,breaking [28] psychologist,silje_schevig [28] norwegian,clinical [28] respected,norwegian [28] calls,complete [28] clinical,psychologist [28] double,vaxxed [28] vaxxed,respected [28] breaking,double [28] silje_schevig,calls Top Word Pairs in Tweet in G7:
[39] ivermectin,vitamin [39] effective,against [39] against,covid [38] know,ivermectin [37] safe,effective [37] censored,surpressed [37] vitamin,safe [37] covid,censored [36] petersweden7,know [29] fascinating,china Top Word Pairs in Tweet in G8:
[34] katiehobbs,pick [34] masking,help [34] adhs,huge [34] lockdowns,masking [34] huge,proponent [34] head,adhs [34] help,bring [34] proponent,lockdowns [34] bring,back [34] pick,head Top Word Pairs in Tweet in G9:
[54] blue,states [53] states,see [53] rampant,blue [53] kushner,wanted [53] covid,run [53] wanted,covid [53] smooth,safe [53] run,rampant [53] refused,permit [53] permit,smooth Top Word Pairs in Tweet in G10:
[86] covid,19 [34] digital,passport [34] vaccine,paper [34] exemption,letter [34] 19,vaccine [34] click,link [34] vaccine,click [34] passport,covid [34] taking,vaccine [34] card,exemption Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: