The graph represents a network of 7,988 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, 30 May 2022 at 08:19 UTC.
The requested start date was Monday, 30 May 2022 at 00:01 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 2-day, 23-hour, 0-minute period from Thursday, 26 May 2022 at 18:34 UTC to Sunday, 29 May 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 : 7988
Unique Edges : 6392
Edges With Duplicates : 19131
Total Edges : 25523
Number of Edge Types : 5
Retweet : 4365
MentionsInRetweet : 6105
Tweet : 806
Replies to : 2337
Mentions : 11910
Self-Loops : 826
Reciprocated Vertex Pair Ratio : 0.0390384962949575
Reciprocated Edge Ratio : 0.0751435032179509
Connected Components : 1028
Single-Vertex Connected Components : 360
Maximum Vertices in a Connected Component : 4434
Maximum Edges in a Connected Component : 11913
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.791916
Graph Density : 0.000180218995075811
Modularity : 0.391999
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,988 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, 30 May 2022 at 08:19 UTC.
The requested start date was Monday, 30 May 2022 at 00:01 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 2-day, 23-hour, 0-minute period from Thursday, 26 May 2022 at 18:34 UTC to Sunday, 29 May 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:
[1637] effets,secondaires [1581] secondaires,vaccins [810] sont,antivax [807] figures,antivax [807] vaccinés,sont [803] anti,covid [803] marc_doyer,libe [800] vaccins,anti [798] antivax,par [797] fait,polémique Top Word Pairs in Tweet in G1:
[885] effets,secondaires [876] secondaires,vaccins [703] marc_doyer,libe [691] sont,antivax [688] libe,pouvez [688] pouvez,expliquer [688] expliquer,comment [688] comment,victimes [688] victimes,effets [688] vaccins,donc Top Word Pairs in Tweet in G2:
[60] effets,secondaires [39] ont,été [37] personnalités,opposées [37] opposées,vaccination [36] audition,par [36] par,l' [36] l',opecst_ [36] opecst_,personnalités [36] vaccination,#covid [36] #covid,nourrit Top Word Pairs in Tweet in G3:
[404] figures,antivax [403] effets,secondaires [403] secondaires,vaccins [400] vaccins,anti [400] anti,covid [400] covid,audition [400] audition,figures [400] antivax,par [400] par,parlementaires [400] parlementaires,fait Top Word Pairs in Tweet in G4:
[118] etre,antinucléaire [118] être,antivax [118] antivax,refus [118] refus,raison [116] antinucléaire,équivalent [116] équivalent,climatique [116] climatique,être [113] ex,porte [112] raison,lisez [112] lisez,cette Top Word Pairs in Tweet in G5:
[267] semaine,pile [267] pile,passerai [267] passerai,tribunal [267] tribunal,correctionnel [267] correctionnel,avoir [267] avoir,eu [267] eu,courage [267] courage,l'audace [267] l'audace,défendre [267] défendre,mes Top Word Pairs in Tweet in G6:
[17] effets,secondaires [16] secondaires,vaccins [16] vaccins,anti [16] audition,figures [16] par,parlementaires [16] parlementaires,fait [16] fait,polémique [15] figures,antivax [14] anti,covid [14] covid,audition Top Word Pairs in Tweet in G7:
[323] avez,traqués [322] êtes,tous [322] tous,coupables [322] coupables,avez [322] traqués,antivax [322] antivax,avez [322] avez,traités [322] traités,complotistes [322] complotistes,débiles [322] débiles,moins Top Word Pairs in Tweet in G8:
[128] encore,toujours [127] ah,encore [127] toujours,mauvaise [127] mauvaise,foi [127] foi,mots [127] mots,gros [127] gros,médiatiques [127] médiatiques,journal [127] journal,décrédibilise [127] décrédibilise,ceux Top Word Pairs in Tweet in G9:
[38] références,libération [38] libération,certain [38] certain,oss117 [38] oss117,compte [38] compte,anonyme [38] anonyme,passe [38] passe,temps [38] temps,cracher [38] cracher,tous [38] tous,ceux Top Word Pairs in Tweet in G10:
[143] buscan,niñas [143] niñas,alemanas [143] alemanas,cuyos [143] cuyos,padres [143] padres,#antivacunas [143] #antivacunas,trajeron [143] trajeron,paraguay [143] paraguay,ilegalmente [143] ilegalmente,tienen [143] tienen,10 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:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: