The graph represents a network of 2,927 Twitter users whose tweets in the requested range contained "#HPV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 25 April 2019 at 10:14 UTC.
The requested start date was Thursday, 25 April 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 33-minute period from Thursday, 11 April 2019 at 00:13 UTC to Wednesday, 24 April 2019 at 11:47 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 : 2927
Unique Edges : 3439
Edges With Duplicates : 1651
Total Edges : 5090
Number of Edge Types : 3
Tweet : 672
Mentions : 4299
Replies to : 119
Self-Loops : 672
Reciprocated Vertex Pair Ratio : 0.0183171150543789
Reciprocated Edge Ratio : 0.0359752670039348
Connected Components : 387
Single-Vertex Connected Components : 209
Maximum Vertices in a Connected Component : 1946
Maximum Edges in a Connected Component : 3829
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.332902
Graph Density : 0.000415440564326616
Modularity : 0.649979
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[633] #hpv,vaccine [300] #gardasil,#hpv [262] bullshit,#gardasil [262] vaccine,s [262] s,clogging [262] clogging,up [262] up,internet [262] internet,here [262] here,truth [262] truth,jab Top Word Pairs in Tweet in G1:
[71] #hpv,vaccine [26] european,immunisation [26] immunisation,week [18] hseimm,hselive [17] s,european [17] week,check [17] check,out [17] out,hseimm [17] hselive,info [17] info,live Top Word Pairs in Tweet in G2:
[99] #hpv,#vaccine [51] #hpv,vaccine [44] #vaccine,#gardasil [42] cervical,#cancer [39] finished,combing [39] combing,through [39] through,1300 [39] 1300,pages [39] pages,conflicts [39] conflicts,interest Top Word Pairs in Tweet in G3:
[260] #hpv,vaccine [256] bullshit,#gardasil [256] #gardasil,#hpv [256] vaccine,s [256] s,clogging [256] clogging,up [256] up,internet [256] internet,here [256] here,truth [256] truth,jab Top Word Pairs in Tweet in G4:
[114] #hpv,vaccine [85] receiving,#hpv [85] vaccine,11 [85] 11,12 [85] 12,builds [85] builds,immunity [85] immunity,before [85] before,preteens [85] preteens,exposed [85] exposed,virus Top Word Pairs in Tweet in G5:
[18] #hpv,vaccine [14] #oralcancer,#oralcancerawarenessmonth [14] #oralcancerawarenessmonth,#hpv [14] #smoking,#alcohol [13] important,know [13] know,risks [13] risks,prevent [13] prevent,#oralcancer [13] #hpv,#smoking [11] cervical,cancer Top Word Pairs in Tweet in G6:
[78] 2015,#female [78] #female,university [78] university,professor [78] professor,#canada [78] #canada,led [78] led,major [78] major,scientific [78] scientific,study [78] study,find [78] find,proof Top Word Pairs in Tweet in G7:
[86] human,papillomavirus [86] papillomavirus,hpv [71] still,lack [71] lack,awareness [71] awareness,human [71] hpv,devastating [71] devastating,both [71] both,men [71] men,women [71] women,let's Top Word Pairs in Tweet in G8:
[21] #hpv,vaccine [21] self,sampling [17] pilot,scheme [17] people,questions [15] jotrust,pilot [14] sampling,#hpv [14] #hpv,vaccination [13] #getvax,#vaccineswork [13] #hpv,#vaccination [12] #dyk,37 Top Word Pairs in Tweet in G9:
[57] ways,reduce [57] reduce,#cancer [57] #cancer,risk [57] risk,don [57] don,t [57] t,smoke [57] smoke,exercise [57] exercise,regularly [57] regularly,eat [57] eat,healthy Top Word Pairs in Tweet in G10:
[11] hpv,related [10] #hpv,vaccine [10] 11,12 [9] #dyk,both [9] both,boys [9] boys,girls [9] girls,need [9] need,#hpv [9] vaccine,age [9] age,11 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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