The graph represents a network of 5,887 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 09:20 UTC.
The tweets in the network were tweeted over the 1038-day, 2-hour, 16-minute period from Friday, 08 May 2020 at 21:43 UTC to Sunday, 12 March 2023 at 23:59 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 : 5887
Unique Edges : 4005
Edges With Duplicates : 11383
Total Edges : 15388
Number of Edge Types : 9
MentionsInReplyTo : 3734
Replies to : 1685
Retweet : 3644
MentionsInRetweet : 5518
Quote : 148
Tweet : 415
Mentions : 101
MentionsInQuoteReply : 100
MentionsInQuote : 43
Self-Loops : 635
Reciprocated Vertex Pair Ratio : 0.0313294797687861
Reciprocated Edge Ratio : 0.0607555206815379
Connected Components : 578
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 3304
Maximum Edges in a Connected Component : 10155
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.095395
Graph Density : 0.000257453764091777
Modularity : 0.530366
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,887 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 09:20 UTC.
The tweets in the network were tweeted over the 1038-day, 2-hour, 16-minute period from Friday, 08 May 2020 at 21:43 UTC to Sunday, 12 March 2023 at 23:59 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:
[1015] tout,compte [1015] monstres,ceux [1015] période,aura [1015] n'étaient,cons [1015] aura,montré [1015] antivax,n'étaient [1015] fait,période [1015] choses,antivax [1015] montré,choses [1015] compte,fait Top Word Pairs in Tweet in G1:
[877] fait,période [877] antivax,n'étaient [877] période,aura [877] tout,compte [877] monstres,ceux [877] cons,monstres [877] aura,montré [877] montré,choses [877] n'étaient,cons [877] choses,antivax Top Word Pairs in Tweet in G2:
[526] le_figaro,ouvre [526] débat,#vaccinscovid [526] sdjdufigaro,alimentaient [526] confrères,sdjdufigaro [526] #vaccinscovid,mes [526] ouvre,débat [526] bravo,le_figaro [526] mes,confrères [525] ivanrioufol,bravo [63] période,aura Top Word Pairs in Tweet in G3:
[380] em,dias [380] gente,perigo [380] hbo,mostra [380] perigo,antivax [380] mostra,pra [380] pra,gente [380] dias,hbo [379] elliexromania,em [20] único,antivax [14] joel,antivax Top Word Pairs in Tweet in G4:
[42] galaxie,twitter [42] twitter,climatosceptique [42] composée,majoritairement [42] majoritairement,comptes [42] étude,récente [42] penchée,galaxie [42] climatosceptique,composée [42] comptes,ayant [42] récente,penchée [41] nicolasberrod,étude Top Word Pairs in Tweet in G5:
[91] tous,ces [88] cruel,mais [88] ont,reçu [88] monde,cruel [88] survécu,ce [88] non,seulement [88] seulement,ont [88] hérétiques,ont [88] pensée,tous [88] ont,survécu Top Word Pairs in Tweet in G6:
[152] million,deaths [152] anyone,doubts [152] deaths,population [152] doubts,eugenics [152] eugenics,alive [152] elderly,anyone [152] population,elderly [151] gorskon,million [23] anti,vaxxers [21] vaxxersanti,anti Top Word Pairs in Tweet in G7:
[66] faut,renforcer [63] renforcer,socialistes [63] #cnps,nom [63] ariège,ai [63] nom,refondations1 [63] ai,rappelé [63] qu,faut [63] refondations1,ariège [63] socialistes,sortir [63] rappelé,qu Top Word Pairs in Tweet in G8:
[117] antivax,avisa [117] matar,milhão [117] domingo,vai [117] milhão,vagalumes [117] avisa,domingo [117] vagalumes,#thelastofus [117] vai,matar [116] lissasa60215211,antivax [65] panos,único [65] único,antivax Top Word Pairs in Tweet in G9:
[15] positions,inconsistently [15] offshore,wind [15] suggestion,antivax [15] wind,near [15] opposition,offshore [15] environmentalism,opposition [15] antivax,positions [15] inconsistently,environmentalism [15] big,suggestion [14] drdind,big Top Word Pairs in Tweet in G10:
[79] vient,réinvestir [79] #nupes,vient [79] #taurine,cette [79] cette,députée [79] législatives,partielles [79] réinvestir,députée [79] députée,était [79] partielles,ariège [79] députée,lfi [79] ariège,#nupes Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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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: