The graph represents a network of 5,612 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 08:16 UTC.
The tweets in the network were tweeted over the 1137-day, 6-hour, 12-minute period from Wednesday, 04 December 2019 at 18:47 UTC to Sunday, 15 January 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 : 5612
Unique Edges : 1821
Edges With Duplicates : 10124
Total Edges : 11945
Number of Edge Types : 9
Retweet : 4275
MentionsInRetweet : 4584
Tweet : 1044
MentionsInReplyTo : 1046
Replies to : 589
Mentions : 276
Quote : 83
MentionsInQuote : 27
MentionsInQuoteReply : 21
Self-Loops : 1225
Reciprocated Vertex Pair Ratio : 0.0131165712174395
Reciprocated Edge Ratio : 0.0258935083880379
Connected Components : 888
Single-Vertex Connected Components : 262
Maximum Vertices in a Connected Component : 2712
Maximum Edges in a Connected Component : 6184
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.033546
Graph Density : 0.000174156430583292
Modularity : 0.475086
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,612 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 08:16 UTC.
The tweets in the network were tweeted over the 1137-day, 6-hour, 12-minute period from Wednesday, 04 December 2019 at 18:47 UTC to Sunday, 15 January 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:
[3722] covid,19 [638] 19,vaccines [430] 19,vaccine [282] safe,effective [271] vaccines,safe [261] effective,hoped [261] start,facing [261] reality,covid [261] facing,reality [261] time,start Top Word Pairs in Tweet in G1:
[256] covid,19 [95] 19,vaccines [90] healthbyjames,breaking [83] 19,shot [81] 5th,covid [81] receiving,5th [81] moshe,ogur [81] one,hour [81] ogur,34 [81] suddenly,one Top Word Pairs in Tweet in G2:
[142] struck,particularly [142] chair,jerome [142] somber,note [142] dead,people [142] particularly,somber [142] jerome,powell [142] fed,reserve [142] work,fed [142] reserve,chair [142] powell,struck Top Word Pairs in Tweet in G3:
[230] covid,19 [29] 60,000 [18] 19,vaccine [12] nearly,60 [8] contra,covid [8] 19,vaccines [8] 000,people [7] died,covid [7] people,died [6] failing,release Top Word Pairs in Tweet in G4:
[251] covid,19 [178] 19,vaccines [174] safe,effective [174] vaccines,safe [173] effective,hoped [173] hoped,prayed [173] facing,reality [173] start,facing [173] time,start [173] reality,covid Top Word Pairs in Tweet in G5:
[187] salud,cercano [187] prioridad,asiste [187] #jornadadevacunación,adulto [187] asiste,cita [187] adulto,mayor [187] inmunízate,contra [187] cercano,inmunízate [187] cita,centro [187] eres,prioridad [187] centro,salud Top Word Pairs in Tweet in G6:
[132] vaccines,news [132] identifies,strokes [132] interesting,surely [132] risk,mrna [132] cdc,identifies [132] coincidental,cdc [132] strokes,risk [132] surely,coincidental [132] 61,deaths [132] broke,61 Top Word Pairs in Tweet in G7:
[103] eficácia,ivermectina [102] homenagear,médicos [102] deveriam,homenagear [102] cientificamente,comprovada [102] médicos,autoridades [102] agora,cientificamente [102] ivermectina,deveriam [102] comprovada,eficácia [101] autoridades,tivera [101] evandroratho,agora Top Word Pairs in Tweet in G8:
[171] covid,19 [100] wuhan,lab [100] funding,covid [100] arrested,funding [100] 19,wuhan [100] lab,killing [97] agree,dr [97] anthony,fauci [97] dr,anthony [97] fauci,arrested Top Word Pairs in Tweet in G9:
[160] covid,19 [55] 19,vaccine [40] 19,vaccination [35] americans,need [35] need,massive [35] massive,pivot [35] vaccination,become [35] pivot,healthcare [35] regretful,americans [35] hell,regretful Top Word Pairs in Tweet in G10:
[161] covid,19 [132] wuhan,lab [132] funding,covid [132] arrested,funding [132] 19,wuhan [132] lab,killing [131] still,arrested [131] 14th,2023 [131] dr,fauci [131] fauci,still Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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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:
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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: