The graph represents a network of 4,905 Twitter users whose recent tweets contained "VaccinesWork", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 03:51 UTC.
The tweets in the network were tweeted over the 1348-day, 3-hour, 26-minute period from Wednesday, 08 May 2019 at 21:29 UTC to Monday, 16 January 2023 at 00:55 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4905
Unique Edges : 2080
Edges With Duplicates : 9459
Total Edges : 11539
Number of Edge Types : 9
Retweet : 3875
MentionsInRetweet : 4476
Tweet : 722
Replies to : 512
MentionsInReplyTo : 1216
Quote : 279
Mentions : 342
MentionsInQuote : 81
MentionsInQuoteReply : 36
Self-Loops : 883
Reciprocated Vertex Pair Ratio : 0.0202002145155524
Reciprocated Edge Ratio : 0.0396004906255476
Connected Components : 363
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 3731
Maximum Edges in a Connected Component : 9469
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.877512
Graph Density : 0.000237256652914345
Modularity : 0.484453
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,905 Twitter users whose recent tweets contained "VaccinesWork", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 03:51 UTC.
The tweets in the network were tweeted over the 1348-day, 3-hour, 26-minute period from Wednesday, 08 May 2019 at 21:29 UTC to Monday, 16 January 2023 at 00:55 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : VaccinesWork
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:
[812] teddy,bear [812] #endpolio,teddy [520] polio,vaccine [517] child,world [517] message,child [517] bear,message [517] love,#endpolio [517] world,polio [516] poliofreeafghan,love [295] receive,#polio Top Word Pairs in Tweet in G1:
[808] #endpolio,teddy [808] teddy,bear [515] message,child [515] world,polio [515] child,world [515] love,#endpolio [515] polio,vaccine [515] bear,message [514] poliofreeafghan,love [293] receive,#polio Top Word Pairs in Tweet in G2:
[159] anti,vaxxers [157] science,informed [157] dear,anti [157] informed,less [156] ie,science [156] time,ie [156] vaxxers,doing [156] doing,research [156] research,time [155] caulfieldtim,dear Top Word Pairs in Tweet in G3:
[147] life,saving [144] missed,life [143] children,missed [140] 25,million [140] 2021,25 [139] million,children [87] classroom,filled [87] filled,happy [87] vaccines,children [87] without,vaccines Top Word Pairs in Tweet in G4:
[70] han_francis,#covid19 [69] bbcnews,genuine [69] codswallop,below [69] genuine,codswallop [69] #covid19,#bbcnews [69] recent,interview [69] #bbcnews,#vaccineswork [69] interview,bbcnews [69] malhotra's,recent [69] #vaccineswork,aseem Top Word Pairs in Tweet in G5:
[36] cervical,cancer [35] more,340 [35] 2020,90 [35] 340,000 [35] income,countries [35] women,2020 [35] 000,women [35] cancer,killed [35] low,middle [35] middle,income Top Word Pairs in Tweet in G6:
[157] reminder,hpv [157] regular,reminder [157] doses,sufficient [157] hpv,vaccine [157] lifesaving,initiated [157] yrs,doses [157] before,15 [157] initiated,before [157] 15,yrs [157] vaccine,lifesaving Top Word Pairs in Tweet in G7:
[165] vaccination,efficacy [165] summary,vaccination [165] #getboosted,#suddendeath [165] over,last [165] last,two [165] years,#russellbrand [165] efficacy,over [165] two,years [165] #russellbrand,#vaccineswork [165] #vaccineswork,#getboosted Top Word Pairs in Tweet in G8:
[23] skepticalraptor,anti [20] #covid19,#vaccine [18] boosters,cause [18] robertkennedyjr,claim [18] anti,vax [18] #vaccine,boosters [18] favorites,#joemercola [18] cause,#cancer [18] claim,#covid19 [18] vax,favorites Top Word Pairs in Tweet in G9:
[130] again,thought [130] vaccine,garbage [130] garbage,gaining [130] traction,again [130] gaining,traction [130] anti,vaccine [130] thought,graph [128] drneilstone,anti [122] graph,measles [122] measles,cases Top Word Pairs in Tweet in G10:
[141] cervical,cancer [140] 65,2012 [140] 2019,women [140] cancer,rates [140] early,20s [140] women,early [140] 2012,2019 [140] 20s,generation [140] rates,dropped [140] young,women Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: