The graph represents a network of 6,069 Twitter users whose recent tweets contained "antivax", 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 09:18 UTC.
The tweets in the network were tweeted over the 1062-day, 9-hour, 3-minute period from Tuesday, 10 March 2020 at 15:55 UTC to Monday, 06 February 2023 at 00:58 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 : 6069
Unique Edges : 4053
Edges With Duplicates : 12112
Total Edges : 16165
Number of Edge Types : 9
Retweet : 3396
MentionsInRetweet : 4766
Replies to : 2078
MentionsInReplyTo : 5028
Quote : 162
Tweet : 487
MentionsInQuoteReply : 94
Mentions : 121
MentionsInQuote : 33
Self-Loops : 686
Reciprocated Vertex Pair Ratio : 0.0472957422324511
Reciprocated Edge Ratio : 0.0903197450829579
Connected Components : 596
Single-Vertex Connected Components : 119
Maximum Vertices in a Connected Component : 3791
Maximum Edges in a Connected Component : 11418
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.000262
Graph Density : 0.000247130532386672
Modularity : 0.523333
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,069 Twitter users whose recent tweets contained "antivax", 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 09:18 UTC.
The tweets in the network were tweeted over the 1062-day, 9-hour, 3-minute period from Tuesday, 10 March 2020 at 15:55 UTC to Monday, 06 February 2023 at 00:58 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 : antivax
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:
[601] sorry,see [600] jamie,salé [599] sunday,edition [599] person,jamie [599] glorifying,rabid [599] #antivax,person [599] salé,sunday [599] see,torontostar [599] rabid,#antivax [599] ideas,public Top Word Pairs in Tweet in G1:
[598] jamie,salé [597] edition,ideas [597] #antivax,person [597] sorry,see [597] glorifying,rabid [597] salé,sunday [597] rabid,#antivax [597] torontostar,glorifying [597] sunday,edition [597] ideas,public Top Word Pairs in Tweet in G2:
[358] exemple,abject [358] ici,par [358] génial,internet [358] peut,ressortir [358] vieux,trucs [358] trucs,ici [358] ressortir,vieux [358] qu,peut [358] abject,médecin [358] ce,génial Top Word Pairs in Tweet in G3:
[24] borowskimike,amine_umlil [22] antivax,sont [19] peut,être [17] #antivax,#brevesdespace [17] l'anti,vax [17] vax,boulet [17] soir,l'anti [17] petite,sympa [17] allez,petite [17] sympa,samedi Top Word Pairs in Tweet in G4:
[397] grated,ton [397] initially,grated [397] press,initially [397] vaccines,call [397] branded,antivax [397] antivax,press [397] ton,vaccines [396] emmakennytv,branded [2] read,both Top Word Pairs in Tweet in G5:
[212] bonne,nouvelle [208] tcabarrus,bonne [208] #antivax,révoqué [208] nouvelle,#pharmacien [208] #pharmacien,#antivax [76] personne,constate [38] vaccin,inefficace [38] inefficace,complotiste [38] antivax,personne [38] constate,vaccin Top Word Pairs in Tweet in G6:
[183] toute,démocratie [183] démocratie,interne [183] partis,gauche [183] destruction,toute [183] interne,noyautage [183] noyautage,autres [183] apprendra,destruction [183] gauche,complaisance [183] autres,partis [182] complaisance,po Top Word Pairs in Tweet in G7:
[18] latest,antivax [18] myocarditis,really [18] claiming,covid [18] antivax,tactic [18] #covidvaccines,#myocarditis [18] covid,myocarditis [18] #myocarditis,latest [18] #covid19,#covidvaccines [18] really,thing [18] tactic,claiming Top Word Pairs in Tweet in G8:
[15] explicitly,denying [15] despite,group [15] interesting,money [15] money,spend [15] antivax,ads [15] ads,twitter [15] huh,antivax [15] twitter,interesting [15] spend,despite [15] group,explicitly Top Word Pairs in Tweet in G9:
[18] ce,sont [13] sont,antivax [12] france,insoumise [11] milite,réintégration [11] gauche,sera [11] anti,vax [11] réintégration,antivax [11] sera,rationaliste [11] triste,gauche [11] antivax,triste Top Word Pairs in Tweet in G10:
[137] déçoivent,jamais [137] antivax,déçoivent [136] grablyr,antivax [2] c'est,l'humour [2] été,malade Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: