The graph represents a network of 10,059 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, 20 September 2021 at 08:16 UTC.
The requested start date was Monday, 20 September 2021 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 3-day, 1-hour, 51-minute period from Thursday, 16 September 2021 at 15:43 UTC to Sunday, 19 September 2021 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 : 10059
Unique Edges : 6720
Edges With Duplicates : 8838
Total Edges : 15558
Number of Edge Types : 5
Retweet : 3861
MentionsInRetweet : 4735
Tweet : 1707
Replies to : 2259
Mentions : 2996
Self-Loops : 1753
Reciprocated Vertex Pair Ratio : 0.0101643598615917
Reciprocated Edge Ratio : 0.0201241704131878
Connected Components : 2345
Single-Vertex Connected Components : 953
Maximum Vertices in a Connected Component : 2956
Maximum Edges in a Connected Component : 6402
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.641171
Graph Density : 9.23365031579143E-05
Modularity : 0.624176
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,059 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, 20 September 2021 at 08:16 UTC.
The requested start date was Monday, 20 September 2021 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 3-day, 1-hour, 51-minute period from Thursday, 16 September 2021 at 15:43 UTC to Sunday, 19 September 2021 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:
[243] antivax,people [199] #covid19,#antivax [199] #antivax,#vaccination [195] icu,unvaccinated [194] unvaccinated,care [194] care,unit [194] unit,delongarts [194] delongarts,#covid19 [193] picardonhealth,icu [188] berita,dari Top Word Pairs in Tweet in G1:
[18] nicki,minaj [16] os,antivax [15] antivax,não [14] antivax,people [11] being,antivax [11] anti,vax [10] covid,19 [10] meu,deus [10] portrait,antivax [9] anti,mask Top Word Pairs in Tweet in G2:
[50] par,#antivax [46] excellente,nouvelle [43] docteure,#antivax [43] #antivax,#martinewonner [43] #martinewonner,#suspendue [43] #suspendue,c'est [43] c'est,excellente [42] antivax,devraient [42] devraient,avoir [42] devant,justice Top Word Pairs in Tweet in G3:
[54] xavierhugonet,thread [51] povidone,iodée [50] demandez,pourquoi [50] pourquoi,antivax [50] antivax,boivent [50] boivent,bétadine [50] bétadine,povidone [50] iodée,toxique [50] toxique,ingestion [50] ingestion,c'est Top Word Pairs in Tweet in G4:
[194] #covid19,#antivax [193] icu,unvaccinated [192] unvaccinated,care [192] care,unit [192] unit,delongarts [192] delongarts,#covid19 [192] #antivax,#vaccination [191] picardonhealth,icu [11] important,human [11] human,asset Top Word Pairs in Tweet in G5:
[66] #vaccinatieschade,#antivax [66] #antivax,#who [66] #who,#covid19 [66] #covid19,#coronamaatregelen [66] #coronamaatregelen,#coronavirus [55] #vaccinatiedwang,#passsanitaire [55] #passsanitaire,#vaccinatieschade [34] #coronavirus,#medischeapartheid [34] #medischeapartheid,#thegreatreset [32] ivanrosseel,#vaccinatiedwang Top Word Pairs in Tweet in G6:
[174] antivax,people [174] people,talking [174] talking,doing [174] doing,research [174] research,never [174] never,crack [174] crack,research [174] research,whatever [174] whatever,youtube [173] angryblacklady,antivax Top Word Pairs in Tweet in G7:
[99] antivax,sont [97] sont,responsables [97] responsables,baisse [97] baisse,achalandage [97] achalandage,commerces [97] commerces,où [97] où,leur [97] leur,interdit [97] interdit,entrer [97] entrer,logique Top Word Pairs in Tweet in G8:
[6] ce,qu [5] antivax,vient [5] vient,dire [5] dire,qu [5] qu,connaît [5] connaît,composition [5] composition,vaccin [5] vaccin,#dimanchertl [5] #dimanchertl,sait [5] sait,seulement Top Word Pairs in Tweet in G9:
[45] cela,fait [45] fait,animateurs [45] animateurs,radio [45] radio,antivax [45] antivax,meurent [45] meurent,covid [45] covid,aux [45] aux,combien [45] combien,leurs [45] leurs,auditeurs Top Word Pairs in Tweet in G10:
[28] campanha,2022 [28] 2022,jair [28] jair,voto [28] voto,impresso [28] impresso,antivax [28] antivax,fantasiado [28] fantasiado,ciência [28] ciência,stf [28] stf,não [28] não,deixou Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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