The graph represents a network of 8,753 Twitter users whose tweets in the requested range contained "antivax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 05 December 2022 at 09:20 UTC.
The requested start date was Monday, 05 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 10-hour, 40-minute period from Thursday, 01 December 2022 at 06:55 UTC to Sunday, 04 December 2022 at 17:35 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 8753
Unique Edges : 6830
Edges With Duplicates : 10344
Total Edges : 17174
Number of Edge Types : 5
Retweet : 4220
MentionsInRetweet : 5514
Replies to : 2688
Mentions : 4001
Tweet : 751
Self-Loops : 780
Reciprocated Vertex Pair Ratio : 0.0130145837179251
Reciprocated Edge Ratio : 0.0256947608200456
Connected Components : 1014
Single-Vertex Connected Components : 304
Maximum Vertices in a Connected Component : 5688
Maximum Edges in a Connected Component : 13545
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.918017
Graph Density : 0.000143265061798608
Modularity : 0.573941
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,753 Twitter users whose tweets in the requested range contained "antivax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 05 December 2022 at 09:20 UTC.
The requested start date was Monday, 05 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 10-hour, 40-minute period from Thursday, 01 December 2022 at 06:55 UTC to Sunday, 04 December 2022 at 17:35 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[525] comment,dit [518] conspirationniste,antivax [517] termes,complotiste [517] d'employer,termes [517] complotiste,conspirationniste [516] antivax,idéologie [515] idéologie,extrême [515] extrême,etc [514] médias,cesseront [514] cesseront,d'employer Top Word Pairs in Tweet in G1:
[443] comment,dit [441] termes,complotiste [441] d'employer,termes [440] idéologie,extrême [440] extrême,etc [440] complotiste,conspirationniste [440] antivax,idéologie [440] quand,médias [440] cesseront,d'employer [440] médias,cesseront Top Word Pairs in Tweet in G2:
[45] myriampalomba,france_soir [40] tristanmf,nient [40] réalité,victimes [40] victimes,vax [40] vax,sont [40] nient,réalité [40] france_soir,aurait [40] aurait,perdu [40] autres,tristanmf [40] pendant,autres Top Word Pairs in Tweet in G3:
[176] franc,tireur [174] l'éloigne,hôpitaux [174] comme,éloigne [174] l'antivax,l'éloigne [174] hôpitaux,comme [174] éloigne,pédophile [174] d'une,maternelle [174] pédophile,d'une [174] maternelle,enthoven_r [173] enthoven_r,franc Top Word Pairs in Tweet in G4:
[29] frcsbraun,olivierveran [29] complotistes,antivax [26] csitzenstuhl,deputesre [25] deputesre,frcsbraun [20] antivax,c'est [19] cette,injection [18] mullerbronnl,alainhoupert [17] docamine_,ce [17] vois,plus [17] ils,ont Top Word Pairs in Tweet in G5:
[44] dr,malhotra [29] sciencebasedmed,han_francis [26] tactic,widely [26] over,sciencebasedmed [26] lecture,draseemmalhotra [26] antivax,community [26] han_francis,dissects [26] weave,kernels [26] employed,antivax [26] go,well Top Word Pairs in Tweet in G6:
[154] vaccin,covid [153] sort,réa [153] réa,choc [153] septique,propose [153] choc,septique [153] covid,date [153] gt,mois [153] date,gt [153] ultra,fragile [153] patiente,ultra Top Word Pairs in Tweet in G7:
[8] complotistes,antivax [6] antivax,shit [5] non,vaccinés [5] antivax,mas [5] os,antivax [4] corona,corona [4] extrême,droite [3] soignants,non [3] anti,vaxxers [3] covid,vaccine Top Word Pairs in Tweet in G8:
[75] antivax,même [74] meilleures,ventes [66] ventes,fnac [65] jours,antivax [65] 10,meilleures [65] grâce,quelques [65] amazon,continue [65] quelques,jours [65] fnac,amazon [65] même,monté Top Word Pairs in Tweet in G9:
[72] appelle,antivax [72] patrick,bruel [71] ce,qu'il [71] dire,plus [71] regrets,avoir [71] avoir,insulté [71] bruel,exprime [71] qu'il,appelle [71] plus,ce [71] exprime,ses Top Word Pairs in Tweet in G10:
[49] aux,usa [47] vaccination,obligatoire [47] 10,000 [47] enfant,10 [47] avait,enfant [47] usa,avait [47] 000,etait [47] france,aux [47] autiste,depuis [47] 1984,france Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: