The graph represents a network of 15,539 Twitter users whose recent tweets contained "#VaccinesWork since:2019-04-24 until:2019-04-25", 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 Monday, 29 April 2019 at 22:06 UTC.
The tweets in the network were tweeted over the 6-hour, 54-minute period from Wednesday, 24 April 2019 at 17:05 UTC to Wednesday, 24 April 2019 at 23:59 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 : 15539
Unique Edges : 31668
Edges With Duplicates : 8374
Total Edges : 40042
Self-Loops : 1145
Reciprocated Vertex Pair Ratio : 0.00306405043898415
Reciprocated Edge Ratio : 0.00610938142513071
Connected Components : 568
Single-Vertex Connected Components : 353
Maximum Vertices in a Connected Component : 14470
Maximum Edges in a Connected Component : 38826
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.034385
Graph Density : 0.000141009350113559
Modularity : 0.455716
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[10397] 1,unicef [8800] 1,million [8335] up,1 [7971] give,1 [7966] gatesfoundation,give [7772] spread,word [7710] help,spread [7640] million,help [7444] unicef,up [6491] word,#vaccineswork Top Word Pairs in Tweet in G1:
[7678] 1,million [7285] 1,unicef [7238] up,1 [6879] give,1 [6878] gatesfoundation,give [6865] spread,word [6860] million,help [6860] help,spread [6482] unicef,up [5853] word,#vaccineswork Top Word Pairs in Tweet in G2:
[1242] immunization,week [1102] world,immunization [942] preventable,diseases [895] vaccine,preventable [863] cervical,cancer [858] pneumonia,polio [856] japanese,encephalitis [856] mumps,pertussis [856] rubella,tetanus [856] yellow,fever Top Word Pairs in Tweet in G3:
[3388] 2,3 [1828] 1,unicef [1695] vaccines,save [1695] unicef,#vaccineswork [1694] vacunas,salvan [1694] salvan,entre [1694] entre,2 [1694] 3,millones [1694] millones,vidas [1694] vidas,cada Top Word Pairs in Tweet in G4:
[562] 1,unicef [446] #bbmastopsocial,bts [420] bts,bts_twt [326] spread,word [321] help,spread [314] gatesfoundation,give [314] give,1 [299] unicef,gatesfoundation [290] 1,million [286] up,1 Top Word Pairs in Tweet in G5:
[304] save,lives [224] #vaccineswork,save [224] lives,facts [224] facts,here [224] here,#niaw2019 [97] today,marks [95] national,immunization [95] immunization,awareness [95] awareness,week [91] immunization,week Top Word Pairs in Tweet in G6:
[23] immunization,week [21] world,immunization [12] #vaccineswork,#vaccinessavelives [10] #vaccineswork,#vaccinateyourkids [8] wednesday,s [8] s,daily [8] daily,brief [8] brief,diplomacy [8] diplomacy,peace [8] peace,day Top Word Pairs in Tweet in G7:
[90] save,lives [71] week,#eiw2019 [70] continue,save [66] thank,nurses [65] vaccination,programmes [65] programmes,continue [65] lives,day [65] day,#vaccineswork [65] #vaccineswork,thank [65] nurses,gps Top Word Pairs in Tweet in G8:
[37] same,#bigpharma [37] #bigpharma,companies [37] companies,create [37] create,bumper [37] bumper,sticker [37] sticker,slogans [37] slogans,#vaccineswork [37] #vaccineswork,repeatedly [37] repeatedly,punished [37] punished,#feds Top Word Pairs in Tweet in G9:
[147] hep,b [147] b,influenza [146] semana,inmunización [146] inmunización,enfermedades [146] enfermedades,prevenibles [146] prevenibles,vacunación [146] vacunación,incluyen [146] incluyen,cáncer [146] cáncer,cuello [146] cuello,uterino Top Word Pairs in Tweet in G10:
[20] #fakemeshurtkids,#vaccineswork [12] #sb276,#fakemeshurtkids [12] strongly,recommend [11] support,#publichealth [11] preventable,disease [11] medical,exemptions [10] 44,000 [10] 000,#cmadocs [10] #cmadocs,yes [10] yes,#sb276 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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