The graph represents a network of 9,261 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, 11 October 2021 at 08:17 UTC.
The requested start date was Monday, 11 October 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, 2-hour, 57-minute period from Thursday, 07 October 2021 at 14:38 UTC to Sunday, 10 October 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 : 9261
Unique Edges : 4057
Edges With Duplicates : 11512
Total Edges : 15569
Number of Edge Types : 5
Replies to : 1311
Mentions : 1900
Tweet : 1109
Retweet : 5356
MentionsInRetweet : 5893
Self-Loops : 1132
Reciprocated Vertex Pair Ratio : 0.00650708807808506
Reciprocated Edge Ratio : 0.0129300392519049
Connected Components : 1572
Single-Vertex Connected Components : 579
Maximum Vertices in a Connected Component : 3355
Maximum Edges in a Connected Component : 7188
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 4.008171
Graph Density : 0.000101006496739736
Modularity : 0.553962
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,261 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, 11 October 2021 at 08:17 UTC.
The requested start date was Monday, 11 October 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, 2-hour, 57-minute period from Thursday, 07 October 2021 at 14:38 UTC to Sunday, 10 October 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:
[1854] rentas,negeri [1749] vaksin,sebab [1747] sebab,antivax [1746] slow,rate [1746] rate,vaksin [1746] antivax,lepastu [1746] lepastu,yang [1746] yang,over [1746] over,nak [1746] nak,privilege Top Word Pairs in Tweet in G1:
[1647] rentas,negeri [1633] slow,rate [1633] rate,vaksin [1633] vaksin,sebab [1633] sebab,antivax [1633] antivax,lepastu [1633] lepastu,yang [1633] yang,over [1633] over,nak [1633] nak,privilege Top Word Pairs in Tweet in G2:
[869] ambil,vax [868] majikan,aku [868] aku,proud [868] proud,antivax [868] antivax,perlekeh [868] perlekeh,orang [868] orang,ambil [868] vax,sana [868] sana,sini [868] sini,dijangkiti Top Word Pairs in Tweet in G3:
[12] rentas,negeri [10] os,antivax [8] being,antivax [7] antivax,people [6] letitia,wright [6] black,panther [6] covid,19 [6] antivax,antimask [5] antivax,só [5] antivax,anti Top Word Pairs in Tweet in G4:
[310] em,situação [310] situação,rua [309] protesto,antivacina [309] antivacina,em [309] em,angeles [309] angeles,antivax [309] antivax,megafone [309] megafone,você [309] você,vê [309] vê,essas Top Word Pairs in Tweet in G5:
[65] oui,patron [65] patron,france [65] france,soir [65] soir,aime [65] aime,contradiction [65] contradiction,coup [65] coup,quand [65] quand,debat [65] debat,lui [65] lui,fait Top Word Pairs in Tweet in G6:
[85] garde,vue [70] soutien,dr [70] dr,agret [70] agret,garde [70] vue,aurait [70] aurait,critiqué [70] critiqué,trop [70] trop,violemment [70] violemment,l'ars [69] banounhelene,soutien Top Word Pairs in Tweet in G7:
[27] twt_bajet,dia [27] dia,ada [27] ada,channel [27] channel,telegram [27] telegram,sebar [27] sebar,antivax [27] antivax,info [27] info,nah [26] ndxnish47,twt_bajet [14] lalu,menderita Top Word Pairs in Tweet in G8:
[7] bad,news [7] news,dhsgov [7] dhsgov,warned [7] warned,week [7] week,domestic [7] domestic,terrorists [7] terrorists,threatening [7] threatening,violence [7] violence,against [7] against,healthcare Top Word Pairs in Tweet in G9:
[2] adorablepodcast,badams820 [2] badams820,cat_in_a_box__ [2] cat_in_a_box__,m_dewinter1844 [2] m_dewinter1844,cthulhudawn666 [2] cthulhudawn666,ahrehead [2] ahrehead,denisrbara [2] denisrbara,medwoman1 [2] medwoman1,sapienwoman [2] dogsdontliket,edblackesq [2] edblackesq,srasberry1 Top Word Pairs in Tweet in G10:
[45] last,one [45] one,antivax [45] antivax,simply [45] simply,ask [45] ask,meet [45] meet,others [45] others,catch [45] catch,whatever [45] whatever,people [45] people,know Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: