The graph represents a network of 7,062 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 09:20 UTC.
The tweets in the network were tweeted over the 1463-day, 12-hour, 44-minute period from Sunday, 10 February 2019 at 12:14 UTC to Monday, 13 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 : 7062
Unique Edges : 4861
Edges With Duplicates : 14467
Total Edges : 19328
Number of Edge Types : 9
Replies to : 3540
MentionsInReplyTo : 9078
Retweet : 2323
MentionsInRetweet : 2890
Quote : 250
Mentions : 186
Tweet : 762
MentionsInQuoteReply : 221
MentionsInQuote : 78
Self-Loops : 1171
Reciprocated Vertex Pair Ratio : 0.0630782169890664
Reciprocated Edge Ratio : 0.118670886075949
Connected Components : 953
Single-Vertex Connected Components : 176
Maximum Vertices in a Connected Component : 3715
Maximum Edges in a Connected Component : 12588
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.394045
Graph Density : 0.000202788412872235
Modularity : 0.486881
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,062 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 09:20 UTC.
The tweets in the network were tweeted over the 1463-day, 12-hour, 44-minute period from Sunday, 10 February 2019 at 12:14 UTC to Monday, 13 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:
[289] exercer,médecine [270] plus,droit [269] serait,bon [268] préciser,avez [268] droit,exercer [268] radié,par [268] bon,préciser [268] dr_l_alexandre,serait [267] avez,plus [267] avez,été Top Word Pairs in Tweet in G1:
[60] suis,antivax [54] chatsecouriste,suis [31] déjà,vu [31] vu,convulsions [31] n'importe,quel [31] simulées,désolé [31] convulsions,voit [31] soignant,déjà [31] vite,celles [31] quel,soignant Top Word Pairs in Tweet in G2:
[25] c'est,grande [25] notre,dame [25] installés,c'est [25] premiers,vitraux [25] d'être,installés [25] vitraux,restauration [25] restauration,notre [25] dame,#paris [25] #paris,viennent [25] viennent,d'être Top Word Pairs in Tweet in G3:
[27] doubledownnews,draseemmalhotra [17] covid,vaccines [16] georgemonbiot,draseemmalhotra [14] frenchg11623069,theroyalrant [14] consequentialbr,frenchg11623069 [14] wendyorent,consequentialbr [14] acmeatomicace,giannmi [14] sasquatch4eva,rickeyh64219156 [14] rickeyh64219156,ianb_67 [14] jtmayes3,richykirsh Top Word Pairs in Tweet in G4:
[256] exercer,médecine [255] plus,droit [254] bon,préciser [254] serait,bon [254] préciser,avez [253] radié,par [253] dr_l_alexandre,serait [253] droit,exercer [252] par,ordre [252] avez,été Top Word Pairs in Tweet in G5:
[48] antivax,ça [45] decoder_l,ouestmoncycle [45] cadrage,complotiste [45] défendre,posture [45] complotiste,défendre [45] caudehenrion,banounhelene [45] par,voyez [45] ça,partagé [45] voyez,bien [45] partagé,par Top Word Pairs in Tweet in G6:
[151] trawl,obituaries [151] ons,grieving [151] cause,pile [151] obituaries,cause [151] relatives,squabbling [151] accounts,trawl [151] antivax,accounts [151] pile,ons [151] two,antivax [151] grieving,relatives Top Word Pairs in Tweet in G7:
[5] right,wing [5] being,antivax [5] covid,19 [3] antivax,movement [3] não,dá [3] majority,#antivax [3] #freedumb,#canadaisbroken [3] não,vou [3] see,people [3] dá,pra Top Word Pairs in Tweet in G8:
[111] community,pharma [111] scientific,community [110] america,scientific [110] pharma,govt [110] behavior,caused [110] caused,more [110] antivaxers,america [110] more,antivax [110] govt,behavior [110] biggest,antivaxers Top Word Pairs in Tweet in G9:
[32] poisoned,message [32] going,louder [32] louder,more [32] more,realise [32] antivax,crowd [32] crowd,going [32] money,poisoned [32] realise,money [31] 1goodtern,antivax [12] squeakupplease,abridgen Top Word Pairs in Tweet in G10:
[16] antivaxer,nope [16] humans,mammals [16] imagination,agree [16] replays,gotta [16] gotta,love [16] peep,replays [16] antivax,imagination [16] love,antivax [16] agree,humans [16] right,antivaxer Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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: