The graph represents a network of 7,044 Twitter users whose recent tweets contained "antivaxx", 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 16:05 UTC.
The tweets in the network were tweeted over the 1317-day, 23-hour, 12-minute period from Thursday, 25 July 2019 at 01:40 UTC to Saturday, 04 March 2023 at 00:53 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 : 7044
Unique Edges : 4519
Edges With Duplicates : 12506
Total Edges : 17025
Number of Edge Types : 9
Replies to : 2603
MentionsInReplyTo : 6444
Tweet : 683
Retweet : 2947
MentionsInRetweet : 3537
Quote : 262
MentionsInQuote : 83
MentionsInQuoteReply : 323
Mentions : 143
Self-Loops : 996
Reciprocated Vertex Pair Ratio : 0.0560915413955575
Reciprocated Edge Ratio : 0.106224771616741
Connected Components : 853
Single-Vertex Connected Components : 121
Maximum Vertices in a Connected Component : 4060
Maximum Edges in a Connected Component : 11191
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.849307
Graph Density : 0.00018975671713381
Modularity : 0.523632
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,044 Twitter users whose recent tweets contained "antivaxx", 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 16:05 UTC.
The tweets in the network were tweeted over the 1317-day, 23-hour, 12-minute period from Thursday, 25 July 2019 at 01:40 UTC to Saturday, 04 March 2023 at 00:53 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 : 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:
[1169] age,spirituality [1168] fascist,indoctrination [1168] law,attraction [1168] indoctrination,law [1168] spirituality,gateway [1168] talking,age [1168] gateway,fascist [1167] madwortsea,talking [904] die,10 [455] vaxed,die Top Word Pairs in Tweet in G1:
[1164] age,spirituality [1163] fascist,indoctrination [1163] spirituality,gateway [1163] gateway,fascist [1163] talking,age [1163] indoctrination,law [1163] law,attraction [1162] madwortsea,talking [7] willing,go [7] antivaxx,global Top Word Pairs in Tweet in G2:
[860] die,10 [432] vaxed,die [430] village,1000 [430] unvaxed,die [430] vaccinated,10 [430] 1000,folk [430] 10,unvaxed [430] 10,990 [430] gt,90y [430] 90y,990 Top Word Pairs in Tweet in G3:
[22] die,10 [16] right,wing [15] headed,exact [15] seriously,one [15] know,twits [15] wing,headed [15] one,fear [15] same,way [15] fear,right [15] way,know Top Word Pairs in Tweet in G4:
[149] anti,vax [145] nbcsnl,monologue [144] vax,conspiracies [144] during,nbcsnl [144] conspiracies,during [144] spreads,anti [144] grrr,#woodyharrelson [144] #woodyharrelson,spreads [144] monologue,marlownyc [143] caulfieldtim,grrr Top Word Pairs in Tweet in G5:
[14] analyse,lancet [14] vaccinale,amène [14] lancet,comparaison [14] infection,covid [14] covid,vaccinale [14] méta,analyse [14] immunité,infection [14] récente,méta [14] comparaison,immunité [13] doclucas4,récente Top Word Pairs in Tweet in G6:
[10] ils,sont [6] pro,russe [6] avocatdupeuple,cnews [6] unreadu93,doctolib [6] laurenceteamhcl,unreadu93 [6] pro,poutine [5] effets,secondaires [5] soit,très [5] conneries,antivaxx [5] matllica,checknewsfr Top Word Pairs in Tweet in G7:
[6] non,vaccinés [4] amelie_for_you,crazycaraco [4] maximusop_,debunkeretoiles [4] debunkeretoiles,lepretretony [4] pro,poutine [4] iatros256395,amelie_for_you [4] ouafblanc,mariapropofol [4] mariapropofol,iatros256395 [3] 27,millions [3] antivaxx,sont Top Word Pairs in Tweet in G8:
[6] vine,boom [5] sumerian,records [5] boom,sfx [4] sfx,hes [3] thedailyblognz,wuhan [3] bombing,vs [3] being,antivaxx [3] leak,vs [3] latest,antivaxx [3] antivaxx,claims Top Word Pairs in Tweet in G9:
[16] zeetubesii,wendyorent [16] wendyorent,frenchg11623069 [16] frenchg11623069,theroyalrant [16] nuhope2022,paramaniac9 [15] richykirsh,zeetubesii [15] jtmayes3,richykirsh [14] andrewlazarus4,jtmayes3 [14] paramaniac9,goz421 [14] consequentialbr,absurd_dad [14] chayotera1,mcfunny Top Word Pairs in Tweet in G10:
[11] holocaust,having [11] crime,know [11] see,holocaust [11] having,crime [10] nuckchorris16,see [10] know,antiv [4] jeffbernard1,navybrat59 [4] jonathanmulroo2,jasonwwalton1 [4] hoothathuh,txfearsomefrank [4] ram0667,girl_pilled Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: