The graph represents a network of 6,799 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 08:48 UTC.
The tweets in the network were tweeted over the 1299-day, 9-hour, 51-minute period from Sunday, 09 June 2019 at 15:09 UTC to Friday, 30 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 : 6799
Unique Edges : 3372
Edges With Duplicates : 10561
Total Edges : 13933
Number of Edge Types : 9
Retweet : 3777
MentionsInRetweet : 4406
MentionsInQuote : 117
Quote : 138
Tweet : 1543
Replies to : 1219
MentionsInReplyTo : 2206
Mentions : 451
MentionsInQuoteReply : 76
Self-Loops : 1822
Reciprocated Vertex Pair Ratio : 0.0219665271966527
Reciprocated Edge Ratio : 0.0429887410440123
Connected Components : 1450
Single-Vertex Connected Components : 380
Maximum Vertices in a Connected Component : 2597
Maximum Edges in a Connected Component : 6588
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 8.949279
Graph Density : 0.000147967522524318
Modularity : 0.518665
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,799 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 08:48 UTC.
The tweets in the network were tweeted over the 1299-day, 9-hour, 51-minute period from Sunday, 09 June 2019 at 15:09 UTC to Friday, 30 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:
[1150] covid,19 [205] higher,risk [201] previously,received [201] contracting,covid [200] higher,number [200] vaccines,previously [200] number,vaccines [200] 19,hmmm [200] risk,contracting [200] received,higher Top Word Pairs in Tweet in G1:
[73] covid,19 [11] china,covid [10] covid,vaccine [10] katie,porter [10] rep,katie [9] fellow,former [9] staffer,decries [9] fire,treatment [9] under,fire [9] treatment,veteran Top Word Pairs in Tweet in G2:
[150] deaths,million [75] official,death [75] million,doses [75] 60,deaths [75] million,boosted [75] doses,60 [75] people,doses [75] doses,official [75] rate,covid [75] 20,deaths Top Word Pairs in Tweet in G3:
[196] covid,19 [184] higher,risk [183] previously,received [182] higher,number [182] contracting,covid [182] vaccines,previously [182] number,vaccines [182] risk,contracting [182] received,higher [182] 19,hmmm Top Word Pairs in Tweet in G4:
[103] draseemmalhotra,breaking [82] calls,complete [81] complete,suspension [80] psychologist,silje_schevig [80] norwegian,clinical [80] respected,norwegian [80] clinical,psychologist [80] double,vaxxed [80] vaxxed,respected [80] breaking,double Top Word Pairs in Tweet in G5:
[67] covid,19 [50] lab,explaining [50] hansmahncke,here's [50] fauci's,conduit [50] 2016,speech [50] exactly,lab [50] conduit,wuhan [50] here's,2016 [50] wuhan,lab [50] lab,make Top Word Pairs in Tweet in G6:
[85] covid,19 [39] trump,xenophobic [37] racist,biden [37] travelers,called [37] issues,covid [37] biden,issues [37] xenophobic,same [37] called,trump [37] china,travelers [37] same,move Top Word Pairs in Tweet in G7:
[10] buy,proper [10] billions,covid [10] covid,funds [10] funds,enriched [10] proper,software [10] breaking,southwestair [10] southwestair,grabbed [10] grabbed,billions [10] executives,failing [10] failing,buy Top Word Pairs in Tweet in G8:
[28] covid,19 [14] dhs,backed [14] elonmusk,slams [14] network,'propaganda [14] ',dhs [14] 'propaganda,platform [14] #twitterfiles,elonmusk [14] thread,#twitterfiles [14] censorship,network [14] cisa,censorship Top Word Pairs in Tweet in G9:
[45] covid,vaccines [44] drsimonegold,research [44] research,covid [43] vaccines,instead [43] told,grateful [43] simply,believing [43] believing,told [43] instead,simply [18] covid,19 [15] used,create Top Word Pairs in Tweet in G10:
[67] meeting,jared [67] covid,morning [67] won,dr [67] dr,birx [67] first,covid [67] jared,led [67] morning,meeting [67] biden,won [67] griffin,transcript [67] transcript,first Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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:
Top Mentioned in G3:
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Top Mentioned in G5:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: