The graph represents a network of 9,998 Twitter users whose recent tweets contained "#VaccinesWork", 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 Thursday, 03 October 2019 at 21:39 UTC.
The tweets in the network were tweeted over the 9-day, 13-hour, 35-minute period from Tuesday, 24 September 2019 at 06:57 UTC to Thursday, 03 October 2019 at 20:33 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 : 9998
Unique Edges : 16081
Edges With Duplicates : 4846
Total Edges : 20927
Self-Loops : 1968
Reciprocated Vertex Pair Ratio : 0.0225186104218362
Reciprocated Edge Ratio : 0.0440453800885761
Connected Components : 853
Single-Vertex Connected Components : 533
Maximum Vertices in a Connected Component : 8336
Maximum Edges in a Connected Component : 19012
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.421508
Graph Density : 0.000164912446328417
Modularity : 0.701653
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1509] child,#vaccineswork [1503] immunise,child [1502] even,satan [1502] satan,ask [1502] ask,immunise [850] #vaccineswork,#vaccinessavelives [632] #whyivaccinate,#vaccineswork [542] flu,shot [530] #valueofvaccines,#vaccineswork [493] vaccine,preventable Top Word Pairs in Tweet in G1:
[1501] even,satan [1501] satan,ask [1501] ask,immunise [1501] immunise,child [1501] child,#vaccineswork Top Word Pairs in Tweet in G2:
[129] life,saving [129] vaccines,#vaccineswork [126] saving,vaccines [115] reaching,children [110] raging,rivers [110] rivers,stop [108] stop,health [108] health,worker [108] worker,reaching [108] children,life Top Word Pairs in Tweet in G3:
[203] #vaccineswork,#vaccinessavelives [81] #vaccineswork,#vaxwithme [79] #vaccines,#vaccineswork [79] #vaxwithme,#ivax2protect [57] flu,shot [43] #vaccineswork,#ivax2protect [40] flu,vaccine [40] #fightflu,#vaccineswork [38] anti,vaccine [38] hpv,vaccine Top Word Pairs in Tweet in G4:
[542] #whyivaccinate,#vaccineswork [184] #vaccineswork,#idweek2019 [158] vaccine,preventable [156] preventable,diseases [119] prevent,spread [118] vaccination,rates [117] spread,vaccine [116] high,vaccination [116] rates,help [116] help,prevent Top Word Pairs in Tweet in G5:
[462] #valueofvaccines,#vaccineswork [273] vaccination,coverage [272] #vaccines,prevent [272] prevent,between [272] between,2 [272] 2,3 [272] 3,million [272] million,deaths [272] deaths,globally [272] globally,each Top Word Pairs in Tweet in G6:
[79] #vaccineswork,#vaccinessavelives [51] flu,shot [29] #whyivaccinate,#vaccineswork [24] #vaccinessavelives,#vaccineswork [20] #vaccines,#vaccineswork [14] those,around [14] protect,yourself [12] anti,vaxxers [11] #vaccineswork,#idweek2019 [10] flu,season Top Word Pairs in Tweet in G7:
[88] flu,vaccine [73] #ehfg2019,#vaccineswork [56] vaccines,ecosystem [52] #askontariodocs,#vaccineswork [45] find,out [38] help,protect [35] #vaccineswork,#onhealth [34] questions,vaccines [32] vaccines,trust [32] trust,doctor Top Word Pairs in Tweet in G8:
[110] #vacunas,#vaccineswork [92] #másalládelvial,#vaccineswork [87] #aevoviedo,#vaccineswork [57] #aevoviedo,#másalládelvial [51] #vaccineswork,#vaccinessavelives [45] #vaccineswork,#másalládelvial [40] https,t [40] t,co [36] enfermedades,prevenibles [36] prevenibles,mediante Top Word Pairs in Tweet in G9:
[161] #vaccineswork,#supportdoh [130] vaccines,prevent [130] prevent,2 [130] 2,5 [130] 5,million [130] million,deaths [130] deaths,per [130] per,year [130] year,antivaxxers [130] antivaxxers,terrorists Top Word Pairs in Tweet in G10:
[56] don,t [43] flu,shot [41] s,flu [40] reminder,dr [40] dr,paul [40] paul,thomas [40] thomas,md [40] md,angry [40] angry,medical [40] medical,doctors Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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