The graph represents a network of 5,125 Twitter users whose tweets in the requested range contained "antivaxx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 11 June 2022 at 15:04 UTC.
The requested start date was Saturday, 11 June 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 13-day, 17-hour, 33-minute period from Saturday, 28 May 2022 at 00:03 UTC to Friday, 10 June 2022 at 17:37 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 : 5125
Unique Edges : 3639
Edges With Duplicates : 3895
Total Edges : 7534
Number of Edge Types : 5
Tweet : 514
Retweet : 1331
MentionsInRetweet : 1775
Replies to : 1319
Mentions : 2595
Self-Loops : 552
Reciprocated Vertex Pair Ratio : 0.00873096446700508
Reciprocated Edge Ratio : 0.0173107890499195
Connected Components : 950
Single-Vertex Connected Components : 281
Maximum Vertices in a Connected Component : 1905
Maximum Edges in a Connected Component : 3527
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.148174
Graph Density : 0.000189181470269035
Modularity : 0.659463
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,125 Twitter users whose tweets in the requested range contained "antivaxx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 11 June 2022 at 15:04 UTC.
The requested start date was Saturday, 11 June 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 13-day, 17-hour, 33-minute period from Saturday, 28 May 2022 at 00:03 UTC to Friday, 10 June 2022 at 17:37 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 : antivaxx
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:
[276] today,good [276] good,day [275] day,open [275] open,boosters [275] boosters,adults [275] adults,#covid19 [275] #covid19,vaccine [275] vaccine,won [275] won,happen [274] nilikm,today Top Word Pairs in Tweet in G1:
[35] amis,antivaxx [34] antivaxx,prohcq [34] prohcq,viens [34] viens,récupérer [34] récupérer,argent [33] wargonm,amis [26] antivaxx,pro [25] comme,faut [25] faut,tout [25] tout,faire Top Word Pairs in Tweet in G2:
[9] being,antivaxx [7] antivaxx,anti [5] anti,mask [5] suis,antivaxx [5] antivaxx,conspiracy [3] conspiracy,theorists [3] #antivaxxers,#antivaxx [3] airline,boardrooms [3] boardrooms,suites [3] suites,cowards Top Word Pairs in Tweet in G3:
[275] today,good [275] good,day [275] day,open [275] open,boosters [275] boosters,adults [275] adults,#covid19 [275] #covid19,vaccine [275] vaccine,won [275] won,happen [274] nilikm,today Top Word Pairs in Tweet in G4:
[7] youâ,re [7] taniale84494434,glengirl2 [7] glengirl2,watchmeburndow1 [5] antivaxx,propaganda [4] organized,crime [4] crime,troll [4] troll,clickfarms [4] russian,state [4] jorlev_11,brave_recovery [3] elect,trump Top Word Pairs in Tweet in G5:
[12] dat,over [11] kafka_dev,beach_roy33 [11] beach_roy33,ik [11] ik,ga [11] ga,niets [11] niets,nieuws [11] nieuws,vertellen [11] vertellen,bent [11] bent,ongelooflijke [11] ongelooflijke,klootzak Top Word Pairs in Tweet in G6:
[3] chimera414,shithappens116 [3] frosty69b,skepticalmutant [3] skepticalmutant,raouldukeerik [3] kevinault,albowers1 [3] premierimproves,iiiiii_x_iiiiii [3] tonybaduy,aspalaasnasntyr [3] aspalaasnasntyr,andylumm [3] alex_on_a14,isthisnetaken [3] itisjustmebabe,diar380 [3] diar380,realshocks Top Word Pairs in Tweet in G7:
[9] marc_doyer,verity_france [9] gilets,jaunes [8] briceculturier,brice [8] brice,moins [8] moins,ce [8] ce,soit [8] soit,encore [8] encore,coup [8] coup,antivaxx [8] antivaxx,voire Top Word Pairs in Tweet in G8:
[97] ai,appris [97] appris,cette [97] cette,semaine [97] semaine,ma [97] ma,mère [97] mère,avoir [97] avoir,jamais [97] jamais,reçu [97] reçu,vaccins [97] vaccins,infantiles Top Word Pairs in Tweet in G9:
[101] naturopathy,based [101] based,magical [101] magical,thinking [101] thinking,push [101] push,evidence [101] evidence,free [101] free,nonsense [101] nonsense,detoxification [100] caulfieldtim,naturopathy [100] detoxification,ivâ Top Word Pairs in Tweet in G10:
[90] far,right [82] next,steps [74] antisemitic,far [67] right,antivaxx [67] conference,happening [59] alert,antisemitic [59] antivaxx,next [59] steps,conference [59] happening,right [59] right,tomorrow Top Replied-To in Entire Graph:
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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: