The graph represents a network of 965 Twitter users whose recent tweets contained "#antivax", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Saturday, 19 October 2019 at 14:19 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 2-minute period from Thursday, 10 October 2019 at 08:54 UTC to Saturday, 19 October 2019 at 13:56 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[321] felixbloodaxe,johnsibson [319] grumfromnorwich,shonadmcdermott [319] whoweareuk,lizditz [319] getqueenbee,kristenkiefer4 [319] kristenkiefer4,knwachter [317] wendyorent,obnoxbe [314] shonadmcdermott,veritasever [314] veritasever,whoweareuk [304] skeptmgmt,californiaatto2 [298] milanovnina,hupperichwerner Top Word Pairs in Tweet in G1:
[101] #antivax,movement [50] #antivax,lobby [42] fake,#antivax [41] #antivax,misinformation [39] aggressive,#antivax [37] eliminate,#cervicalcancer [37] orthodox,jewish [37] jewish,community [37] 18,icu [34] #dayofthegirl,cnn Top Word Pairs in Tweet in G2:
[30] anti,vax [24] anti,vaxxers [19] #antivax,#vaccination [17] tough,question [17] question,drwakefield [17] drwakefield,robertkennedyjr [17] robertkennedyjr,amp [17] amp,childrenshd [17] childrenshd,#evil [17] #evil,#villains Top Word Pairs in Tweet in G3:
[92] realbastiat,rivers1255 [92] dancesfacts,iidomen [92] tebuhl,simpleton_x [92] simpleton_x,in_veritas_lux [92] in_veritas_lux,ap4liberty [92] ap4liberty,thelibrepublic [85] bleuchimay,jayedmartian [82] iidomen,tebuhl [80] dana_tfsj,patrick_c_41 [77] jackbondnj,dancesfacts Top Word Pairs in Tweet in G4:
[318] grumfromnorwich,shonadmcdermott [318] whoweareuk,lizditz [318] getqueenbee,kristenkiefer4 [318] kristenkiefer4,knwachter [316] wendyorent,obnoxbe [313] shonadmcdermott,veritasever [313] veritasever,whoweareuk [303] skeptmgmt,californiaatto2 [297] milanovnina,hupperichwerner [269] liamkav,grumfromnorwich Top Word Pairs in Tweet in G5:
[5] #antivax,#antivaxxers [5] #antivax,#antivaxx [4] #antivax,#vaccines [4] #vaccines,#vaccination [4] #antivaxx,#antivax [3] flu,shot [3] #antivaxx,#antivaxxers [3] anti,vax [3] dr,scott [2] #vaccines,#vaccineswork Top Word Pairs in Tweet in G6:
[297] felixbloodaxe,johnsibson [267] 2013boodicca,felixbloodaxe [260] johnsibson,quatloosx [260] rosewind2007,saluce65 [260] kuriousmind93,downeyballs [252] downeyballs,andrewlazarus4 [249] tthoughtmonger,lithiummano [248] mahealthforkids,sheldon_walker_ [242] monstercoyliar,boxmenot [242] andrewlazarus4,asiamoonbloom Top Word Pairs in Tweet in G7:
[130] julieamclean,deraltegaukler [130] spectresmut,beckyjohnson222 [130] drchriscole,gloria74308094 [130] gloria74308094,halloweenjason [130] halloweenjason,coercedtaxslave [130] tat_loo,badzoot7 [130] badzoot7,kschang777 [130] kschang777,pollock_dr [130] pollock_dr,janeeopie [130] townsfather,nicolew33838832 Top Word Pairs in Tweet in G8:
[24] #qanon,#flatearth [13] #flatearth,#antivax [12] re,ordinary [12] ordinary,blokes [11] blokes,#qanon [11] #flatearth,#hillsong [11] #hillsong,#paedophilia [11] #paedophilia,#antivax [11] #antivax,#skydaddy [11] #skydaddy,amp Top Word Pairs in Tweet in G9:
[14] feeling,bit [14] bit,gaslighted [14] gaslighted,dailymailuk [14] dailymailuk,headline [14] headline,today [14] today,working [14] working,#mmr [14] #mmr,#antivax [14] #antivax,phase [14] phase,research Top Word Pairs in Tweet in G10:
[3] dear,nutricia [2] nothing,done [2] anybody,#researching [2] #researching,#autism [2] #autism,#alzheimer [2] #alzheimer,#aluminium [2] #aluminium,related [2] related,disease [2] disease,look [2] look,source Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 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:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: