The graph represents a network of 8,701 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, 27 October 2020 at 07:55 UTC.
The requested start date was Monday, 26 October 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 13-day, 23-hour, 55-minute period from Monday, 12 October 2020 at 00:02 UTC to Sunday, 25 October 2020 at 23:57 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 : 8701
Unique Edges : 6102
Edges With Duplicates : 7952
Total Edges : 14054
Number of Edge Types : 5
Replies to : 1948
Tweet : 1731
Mentions : 3672
Retweet : 2901
MentionsInRetweet : 3802
Self-Loops : 1758
Reciprocated Vertex Pair Ratio : 0.0146547441629409
Reciprocated Edge Ratio : 0.0288861689106487
Connected Components : 2329
Single-Vertex Connected Components : 1075
Maximum Vertices in a Connected Component : 1700
Maximum Edges in a Connected Component : 4600
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.208947
Graph Density : 0.000107927877229067
Modularity : 0.607083
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,701 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, 27 October 2020 at 07:55 UTC.
The requested start date was Monday, 26 October 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 13-day, 23-hour, 55-minute period from Monday, 12 October 2020 at 00:02 UTC to Sunday, 25 October 2020 at 23:57 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:
[422] antivax,quem [420] vacina,chinesa [411] contra,obrigatoriedade [403] quem,contra [400] pró,vacina [399] pessoal,pró [399] chinesa,acusa [399] acusa,antivax [398] obrigatoriedade,desse [398] desse,experimento Top Word Pairs in Tweet in G1:
[85] anti,vaccination [84] bans,anti [82] facebook,bans [77] vaccination,ads [75] ads,antivax [35] os,antivax [27] ban,ads [25] discourage,vaccinations [24] facebook,ban [23] ads,platform Top Word Pairs in Tweet in G2:
[28] masks,make [28] make,sicker [27] masks,work [27] work,slow [27] slow,spread [27] spread,#covid19 [27] #covid19,masks [25] gorskon,masks [21] sicker,narrative [21] narrative,antivax Top Word Pairs in Tweet in G3:
[375] pessoal,pró [375] pró,vacina [375] vacina,chinesa [375] chinesa,acusa [375] acusa,antivax [375] antivax,quem [375] quem,contra [375] contra,obrigatoriedade [375] obrigatoriedade,desse [375] desse,experimento Top Word Pairs in Tweet in G4:
[49] 21,octobre [49] octobre,continue [49] continue,inviter [49] inviter,mecs [49] mecs,aussi [49] aussi,bon [49] bon,épidémiologie [49] épidémiologie,suis [49] suis,danseur [49] danseur,étoile Top Word Pairs in Tweet in G5:
[62] sou,antivax [60] não,sou [55] ta,em [55] em,dia [54] antivax,minha [54] minha,carteira [54] carteira,vacinha [54] vacinha,ta [54] dia,tomei [54] tomei,até Top Word Pairs in Tweet in G6:
[163] alô,ministro [163] ministro,lrobertobarroso [163] lrobertobarroso,alexandre [163] alexandre,garcia [163] garcia,embaixador [163] embaixador,campanha [163] campanha,anti [163] anti,desinformação [163] desinformação,tsejusbr [163] tsejusbr,acaba Top Word Pairs in Tweet in G7:
[47] #antivax,disinformation [47] disinformation,empire [47] empire,really [47] really,accelerating [47] accelerating,around [47] around,#covid19 [47] #covid19,vaccines [47] vaccines,prevention [47] prevention,helping [46] peterhotez,#antivax Top Word Pairs in Tweet in G8:
[33] ancap,antivax [31] pergunte,ao [31] ao,coleguinha [31] coleguinha,ancap [31] antivax,suponha [31] suponha,sujeito [31] sujeito,homem [31] homem,bomba [31] bomba,mas [31] mas,dispositivo Top Word Pairs in Tweet in G9:
[12] lnfranco_fi,frdesouche [12] frdesouche,ivanrioufol [12] ivanrioufol,f_philippot [12] f_philippot,rene_chiche [12] rene_chiche,dragonduclos [12] dragonduclos,t_nenninger [10] t_nenninger,thierrymariani [10] thierrymariani,thillagnes [10] thillagnes,e2villiers [10] e2villiers,elianecarrier Top Word Pairs in Tweet in G10:
[13] antivax,não [10] os,antivax [9] não,gente [8] antivax,nem [7] repetindo,antivax [7] nem,gente [7] paularosiska,antivax [6] brasil,uma [6] paularosiska,repetindo [5] tem,direito Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G7:
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:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: