The graph represents a network of 6,603 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 09:34 UTC.
The tweets in the network were tweeted over the 1055-day, 8-hour, 33-minute period from Tuesday, 17 March 2020 at 16:26 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 : 6603
Unique Edges : 3291
Edges With Duplicates : 11216
Total Edges : 14507
Number of Edge Types : 9
Retweet : 3638
MentionsInRetweet : 4089
Mentions : 396
Replies to : 1605
MentionsInReplyTo : 3164
Tweet : 1269
Quote : 173
MentionsInQuoteReply : 120
MentionsInQuote : 53
Self-Loops : 1603
Reciprocated Vertex Pair Ratio : 0.0244794597636466
Reciprocated Edge Ratio : 0.0477890689371052
Connected Components : 1175
Single-Vertex Connected Components : 282
Maximum Vertices in a Connected Component : 3116
Maximum Edges in a Connected Component : 8330
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.064162
Graph Density : 0.000167045144810615
Modularity : 0.509235
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,603 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 09:34 UTC.
The tweets in the network were tweeted over the 1055-day, 8-hour, 33-minute period from Tuesday, 17 March 2020 at 16:26 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
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:
[1496] covid,19 [305] covid,vaccine [244] healthbyjames,breaking [205] without,taking [203] 19,vaccine [188] taking,vaccine [179] 19,vaccines [154] hid,fact [128] fiestas,clandestinas [128] 500,personas Top Word Pairs in Tweet in G1:
[223] covid,19 [199] healthbyjames,breaking [83] 19,vaccine [64] breaking,cdc [58] covid,vaccine [54] codes,doctors [52] people,refuse [47] doctors,researchers [47] breaking,japanese [47] lawsuit,against Top Word Pairs in Tweet in G2:
[63] covid,19 [11] covid,vaccine [9] bill,gates [8] long,covid [8] covid,test [7] during,covid [7] 19,vaccine [7] pandemia,covid [5] martha,stewart [5] really,really Top Word Pairs in Tweet in G3:
[46] mrna,vaccines [45] covid,mrna [44] left,truth [44] penetrate,left [44] something,very [44] very,impactful [44] finally,penetrate [44] vaccines,something [44] truth,covid [44] time,finally Top Word Pairs in Tweet in G4:
[231] covid,19 [157] without,taking [142] taking,vaccine [86] 19,vaccines [71] card,without [71] scan,covid [71] digital,qr [71] qr,scan [71] certificate,paper [71] thecovid19agenda,gmail Top Word Pairs in Tweet in G5:
[128] 500,personas [128] fiestas,clandestinas [127] covid,julieta [126] hacía,fiestas [126] morían,covid [126] personas,peor [126] mientras,morían [126] novio,500 [126] julieta,hacía [126] clandestinas,novio Top Word Pairs in Tweet in G6:
[70] covid,shots [68] sads,approving [68] shots,kids [68] oveta,dies [68] kids,video [68] approving,rushing [68] months,ago [68] video,available [68] rushing,covid [68] died,months Top Word Pairs in Tweet in G7:
[67] covid,itself [67] vs,covid [66] 530,vs [66] vax,530 [66] covid,vaccine [65] published,bmj [65] bmj,shows [65] itself,vax [65] shows,covid [65] more,myocarditis Top Word Pairs in Tweet in G8:
[54] covid,cult [54] catturd2,covid [53] cult,wrong [53] wrong,everything [13] authoritarians',claims [13] never,reason [13] mask,mandates [13] coercive,mask [13] reason,support [13] mandates,contrary Top Word Pairs in Tweet in G9:
[35] covid,19 [25] breaking,pfizer [20] long,covid [16] concerned,over [16] pfizer,director [16] director,concerned [16] over,women's [16] women's,reproductive [13] project_veritas,breaking [12] something,irregular Top Word Pairs in Tweet in G10:
[11] trump,meadows [11] concealed,fact [11] debate,prep [11] fact,trump [11] both,trump [11] christie,volunteered [11] trump,debate [11] help,trump [11] prep,both [11] meadows,concealed Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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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:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: