The graph represents a network of 6,783 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 09:02 UTC.
The tweets in the network were tweeted over the 1059-day, 20-hour, 24-minute period from Thursday, 19 March 2020 at 04:36 UTC to Sunday, 12 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 : 6783
Unique Edges : 3248
Edges With Duplicates : 10969
Total Edges : 14217
Number of Edge Types : 9
Retweet : 3697
MentionsInRetweet : 4178
Replies to : 1490
MentionsInReplyTo : 2712
Tweet : 1432
MentionsInQuote : 58
Quote : 162
Mentions : 373
MentionsInQuoteReply : 115
Self-Loops : 1711
Reciprocated Vertex Pair Ratio : 0.0250979254315973
Reciprocated Edge Ratio : 0.0489668836682706
Connected Components : 1274
Single-Vertex Connected Components : 291
Maximum Vertices in a Connected Component : 2843
Maximum Edges in a Connected Component : 7237
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.780624
Graph Density : 0.000153600995567483
Modularity : 0.515833
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,783 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 09:02 UTC.
The tweets in the network were tweeted over the 1059-day, 20-hour, 24-minute period from Thursday, 19 March 2020 at 04:36 UTC to Sunday, 12 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:
[853] covid,19 [350] covid,vaccine [173] alien,invasion [152] covid,vaccines [123] 19,vaccines [116] long,covid [114] cdc,adds [110] leadingreport,breaking [103] contra,covid [98] 19,vaccine Top Word Pairs in Tweet in G1:
[128] covid,19 [55] more,die [54] c19,unvaxed [54] boosted,kids [54] kids,137x [54] kids,figures [54] figures,reveal [54] govt,data [54] die,c19 [54] 137x,more Top Word Pairs in Tweet in G2:
[66] covid,19 [13] covid,vaccine [8] long,covid [6] during,covid [6] 19,pandemic [5] #covid,#covid19 [5] due,covid [4] patient,transport [3] #model,#spotify [3] #beauty,#l Top Word Pairs in Tweet in G3:
[153] alien,invasion [77] comes,staged [77] invasion,lmao [77] buy,covid [77] staged,alien [77] covid,comes [77] didn,buy [76] realmattcouch,didn [71] plandemic,alien [71] covid,plandemic Top Word Pairs in Tweet in G4:
[33] otlu,peyniri [31] okulları,kapatmayın [31] kapatmayın,sakın [31] sakın,okulları [31] ruh,sağlığı [31] covid,sırasında [31] sağlığı,zarar [31] gençlerimizin,ruh [31] fulya,öztürk [31] sırasında,gençlerimizin Top Word Pairs in Tweet in G5:
[92] leadingreport,breaking [62] covid,vaccine [51] banned,covid [51] vaccine,mandates [49] 20,states [49] mandates,schools [49] over,20 [49] adding,vaccines [49] schools,response [49] cdc,adding Top Word Pairs in Tweet in G6:
[37] covid,19 [27] covid,vaccines [18] vaccines,covid [18] 19,vaccines [16] digital,qr [16] certificate,paper [16] click,link [16] vaccine,click [16] card,boosters [16] exemption,letters Top Word Pairs in Tweet in G7:
[66] covid,19 [51] cdc,adds [49] adds,covid [49] immunization,schedule [49] 19,vaccines [45] pure,evil [45] vaccines,child [45] wow,loss [45] words,pure [45] evil,cdc Top Word Pairs in Tweet in G8:
[40] covid,19 [25] long,covid [23] sars,cov [18] airborne,transmission [17] lost,society [17] science,rejected [17] article,pulls [17] pulls,back [17] better,article [17] lives,lost Top Word Pairs in Tweet in G9:
[40] contra,covid [36] adverte,várias [36] trocado,não [36] expectativa,vida [36] em,24 [36] tribuna,nacional [36] anos',jornal [36] dilma,eles [36] mandaremos,dilma [36] várias,vacinas Top Word Pairs in Tweet in G10:
[12] long,covid [7] medically,vulnerable [6] year,riding [6] spots,liver [6] coranacoaster,living [6] liver,swollen [6] lymph,nodes [6] recent,months [6] going,grocery [6] lungs,loss Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: