The graph represents a network of 5,986 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1063-day, 17-hour, 26-minute period from Saturday, 21 March 2020 at 07:33 UTC to Saturday, 18 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 : 5986
Unique Edges : 2532
Edges With Duplicates : 9765
Total Edges : 12297
Number of Edge Types : 9
Tweet : 1286
Retweet : 3981
MentionsInRetweet : 4500
Replies to : 671
MentionsInReplyTo : 1286
Mentions : 433
MentionsInQuoteReply : 30
MentionsInQuote : 49
Quote : 61
Self-Loops : 1517
Reciprocated Vertex Pair Ratio : 0.013838436256703
Reciprocated Edge Ratio : 0.0272990957174544
Connected Components : 1151
Single-Vertex Connected Components : 433
Maximum Vertices in a Connected Component : 2833
Maximum Edges in a Connected Component : 6706
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.362074
Graph Density : 0.000163595311923868
Modularity : 0.50514
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,986 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1063-day, 17-hour, 26-minute period from Saturday, 21 March 2020 at 07:33 UTC to Saturday, 18 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-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:
[4052] covid,19 [520] contra,covid [419] 19,vaccine [370] jair,bolsonaro [291] 19,vaccination [268] ex,presidente [246] bolsonaro,vacinou [239] bolsonaro,fazia [233] julho,2021 [221] presidente,jair Top Word Pairs in Tweet in G1:
[386] covid,19 [56] contra,covid [29] 19,vaccines [26] 19,vaccine [24] 19,pandemic [19] idaho,lawmakers [19] lawmakers,introduce [19] two,idaho [18] legislation,criminalize [18] introduce,legislation Top Word Pairs in Tweet in G2:
[160] covid,19 [157] jair,bolsonaro [140] ministro,cgu [128] existe,registro [126] em,entrevista [125] bolsonaro,teria [122] entrevista,cnn [112] cnn,brasil [112] afirma,existe [111] grave,em Top Word Pairs in Tweet in G3:
[287] covid,19 [128] 19,vaccination [118] myocarditis,covid [117] leading,cause [116] cause,myocarditis [110] needs,approach [110] clinical,subclinical [110] vaccination,clinic [110] clinic,needs [110] approach,clinical Top Word Pairs in Tweet in G4:
[184] covid,19 [68] bolsonaro,fazia [67] contra,vacina [67] querido,covid [66] 19,culpa [66] você,perdeu [66] culpa,bolsonaro [66] alguém,querido [66] campanha,contra [66] vacina,enquanto Top Word Pairs in Tweet in G5:
[81] tratado,declarou [81] assinaram,tratado [81] 000,médicos [81] injeções,terapia [81] declarou,os [81] médicos,cientistas [81] 17,000 [81] os,dados [81] terapia,genética [81] confirmam,injeções Top Word Pairs in Tweet in G6:
[166] covid,19 [163] bolsonaro,fazia [163] contra,covid [163] jair,bolsonaro [161] bolsonaro,vacinou [161] presidente,jair [161] 19,julho [161] ex,presidente [160] dose,janssen [160] 2021,bolsonaro Top Word Pairs in Tweet in G7:
[159] covid,19 [145] france,germany [145] university,mandates [145] germany,norway [145] sweden,denmark [145] norway,sweden [145] britain,france [145] denmark,university [145] 19,vaccine [145] mandates,covid Top Word Pairs in Tweet in G8:
[64] confirmé,qu [64] bien,plus [64] populations,jeunes [64] plus,efficace [64] donc,scientifiquement [64] développer,leur [64] jeunes,développer [64] efficace,laisser [64] laisser,populations [64] qu,était Top Word Pairs in Tweet in G9:
[112] young,people [111] developing,heart [111] thread,athletes [111] people,suddenly [111] heart,attacks [111] suddenly,developing [111] myocarditis,blue [111] heart,problems [111] problems,heart [111] athletes,young Top Word Pairs in Tweet in G10:
[96] covid,19 [46] governo,lula [43] os,dados [42] vai,parar [41] dados,diários [40] diários,covid [39] parar,divulgar [38] divulgar,dados [27] confirmam,injeções [27] tratado,declarou 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 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:
Top Mentioned in G8:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: