The graph represents a network of 9,258 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 Tuesday, 29 September 2020 at 07:20 UTC.
The requested start date was Monday, 28 September 2020 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 11-day, 10-hour, 14-minute period from Wednesday, 16 September 2020 at 13:12 UTC to Sunday, 27 September 2020 at 23:27 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 : 9258
Unique Edges : 5638
Edges With Duplicates : 10937
Total Edges : 16575
Number of Edge Types : 5
Retweet : 4669
MentionsInRetweet : 5921
Tweet : 1137
Replies to : 1627
Mentions : 3221
Self-Loops : 1169
Reciprocated Vertex Pair Ratio : 0.0103316458311809
Reciprocated Edge Ratio : 0.020451988955926
Connected Components : 1713
Single-Vertex Connected Components : 651
Maximum Vertices in a Connected Component : 2991
Maximum Edges in a Connected Component : 7644
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.460331
Graph Density : 0.000114105612346211
Modularity : 0.580856
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,258 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 Tuesday, 29 September 2020 at 07:20 UTC.
The requested start date was Monday, 28 September 2020 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 11-day, 10-hour, 14-minute period from Wednesday, 16 September 2020 at 13:12 UTC to Sunday, 27 September 2020 at 23:27 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:
[1428] wahai,kaum [1428] kaum,adam [1428] adam,sebelum [1428] sebelum,menikah [1428] menikah,adakah [1428] adakah,anda [1428] anda,sudah [1428] sudah,bersedia [1428] bersedia,untuk [1428] untuk,tanyakan Top Word Pairs in Tweet in G1:
[1381] wahai,kaum [1381] kaum,adam [1381] adam,sebelum [1381] sebelum,menikah [1381] menikah,adakah [1381] adakah,anda [1381] anda,sudah [1381] sudah,bersedia [1381] bersedia,untuk [1381] untuk,tanyakan Top Word Pairs in Tweet in G2:
[13] os,antivax [11] antivax,anti [10] #antimask,#antivax [10] anti,mask [10] eu,não [9] covid,vaccine [8] antimask,antivax [8] terra,plana [7] flat,earth [7] flu,shot Top Word Pairs in Tweet in G3:
[170] anti,science [157] health,freedom [156] #vaccine,scientist [156] scientist,parent [156] parent,adult [156] adult,daughter [156] daughter,autism [156] autism,debunked [156] debunked,fake [156] fake,#antivax Top Word Pairs in Tweet in G4:
[571] provax,antivax [571] antivax,claim [571] claim,dog [571] dog,fight [571] fight,moron [571] moron,believe [571] believe,granting [449] jonrappoport,provax [449] granting,mul [120] rsbellmedia,provax Top Word Pairs in Tweet in G5:
[34] robertkennedyjr,childrensh [34] childrensh,became [34] became,superspreader [34] superspreader,hoaxes [34] hoaxes,#covid19 [34] #covid19,vaccines [34] vaccines,5g [34] 5g,more [33] picardonhealth,robertkennedyjr [33] more,aleximos Top Word Pairs in Tweet in G6:
[131] apprends,étonnement [131] étonnement,marseillais [131] marseillais,ont [131] ont,choisi [131] choisi,maire [131] maire,raoultienne [131] raoultienne,homéopathe [131] homéopathe,soutien [131] soutien,antivax [131] antivax,deux Top Word Pairs in Tweet in G7:
[292] sudahkah,anda [292] anda,check [292] check,jika [292] jika,plus [292] plus,one [292] one,anda [292] anda,antivax [292] antivax,flat [292] flat,earther [292] earther,intimidated Top Word Pairs in Tweet in G8:
[52] #vaccines,#antivax [52] #antivax,#vaccineswork [51] anti,vaxxers [49] best,article [49] article,anti [49] vaxxers,read [49] read,#vaccines [49] #vaccineswork,thereal_truther [48] vaxxersanti,best [21] contrary,claims Top Word Pairs in Tweet in G9:
[130] antivax,flat [127] mammalova,pja_chan [127] pja_chan,selepas [127] selepas,kes [127] kes,banyak [127] banyak,kena [127] kena,tanya [127] tanya,dulu [127] dulu,before [127] before,nak Top Word Pairs in Tweet in G10:
[4] amelie_for_you,mcfanjas [4] mcfanjas,les_vaxxeuses [4] biobiobiobior,robertkennedyjr [4] robertkennedyjr,lemondefr [4] lemondefr,le_parisien [4] le_parisien,bfmtv [4] bfmtv,voir [4] voir,règlement [4] règlement,européen [4] européen,2020 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: