The graph represents a network of 5,385 Twitter users whose tweets in the requested range contained "HPV Vaccine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 26 September 2020 at 13:33 UTC.
The requested start date was Saturday, 26 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 13-hour, 22-minute period from Saturday, 12 September 2020 at 00:14 UTC to Friday, 25 September 2020 at 13:37 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 : 5385
Unique Edges : 3865
Edges With Duplicates : 10013
Total Edges : 13878
Number of Edge Types : 5
Retweet : 4118
MentionsInRetweet : 5421
Tweet : 625
Mentions : 2984
Replies to : 730
Self-Loops : 726
Reciprocated Vertex Pair Ratio : 0.025520483546004
Reciprocated Edge Ratio : 0.0497707924034054
Connected Components : 628
Single-Vertex Connected Components : 233
Maximum Vertices in a Connected Component : 3259
Maximum Edges in a Connected Component : 10245
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.961016
Graph Density : 0.000263340880024171
Modularity : 0.510374
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,385 Twitter users whose tweets in the requested range contained "HPV Vaccine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 26 September 2020 at 13:33 UTC.
The requested start date was Saturday, 26 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 13-hour, 22-minute period from Saturday, 12 September 2020 at 00:14 UTC to Friday, 25 September 2020 at 13:37 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : HPV Vaccine
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:
[2083] hpv,vaccine [413] young,man [411] behalf,young [407] allegedly,injured [406] #merck,behalf [406] man,allegedly [406] injured,#gardasil [405] robertkennedyjr,baumhedlund [405] filed,lawsuit [405] lawsuit,wednesday Top Word Pairs in Tweet in G1:
[309] #hpv,#vaccine [238] lotusoak2,#study [134] #hpv,#vaccines [128] #vaccine,#gardasil [114] #study,#gardasil [106] #hpv,vaccine [105] dr,jennifer [105] jennifer,young [105] young,pierce [104] exactly,opposite Top Word Pairs in Tweet in G2:
[385] robertkennedyjr,baumhedlund [385] behalf,young [385] young,man [384] baumhedlund,filed [384] filed,lawsuit [384] lawsuit,wednesday [384] wednesday,against [384] against,#merck [384] #merck,behalf [384] man,allegedly Top Word Pairs in Tweet in G3:
[214] hpv,vaccine [50] charbrevolution,rosewind2007 [35] cervical,cancer [35] severe,injuries [35] microbiomdigest,charbrevolution [34] continues,suffer [34] suffer,severe [32] baum,hedlund [32] hedlund,lawyers [32] lawyers,filed Top Word Pairs in Tweet in G4:
[318] hpv,vaccine [128] history,dumb [128] dumb,hpv [128] vaccine,takes [128] takes,really [128] really,takes [128] takes,cake [127] drjengunter,history [115] allow,use [115] use,opportunity Top Word Pairs in Tweet in G5:
[234] hpv,vaccine [234] นว,คซ [234] คซ,นป [234] นป,องก [234] งปากมดล,ก [232] ojokezo,ช [232] ช,อม [232] อม,นค [232] นค,อ [232] อ,hpv Top Word Pairs in Tweet in G6:
[180] hpv,vaccine [20] cervical,cancer [14] human,papillomavirus [10] hpv,vaccination [10] papillomavirus,hpv [8] cancer,prevention [7] 11,12 [7] getting,hpv [6] vaccine,prevent [6] learn,more Top Word Pairs in Tweet in G7:
[128] hpv,vaccine [122] huge,drop [122] drop,cervical [122] cervical,disease [122] disease,thanks [122] thanks,hpv [97] vaccinestoday,huge [24] vaccine,#ikvaccineer [24] #ikvaccineer,#ivaccinate [24] #ivaccinate,#jevaccine Top Word Pairs in Tweet in G8:
[30] hpv,vaccine [24] #hpv,causes [24] causes,kinds [24] kinds,cancers [24] cancers,amazing [24] amazing,vaccine [24] vaccine,prevent [24] prevent,cancer [24] cancer,#vaccineswork [24] #vaccineswork,#obgyntwitter Top Word Pairs in Tweet in G9:
[79] hpv,vaccine [49] vaccine,prevents [49] prevents,cancers [49] cancers,uptake [49] uptake,down [49] down,#covid19 [49] #covid19,missing [49] missing,vaccinations [49] vaccinations,going [49] going,cause Top Word Pairs in Tweet in G10:
[65] アイルランドで反hpvワクチン運動があった際にハリス保健相が,snsのアカウントでなくwhoの言う事に従う [65] snsのアカウントでなくwhoの言う事に従う,もし予防接種に関して医学的助言をしたいのなら [65] もし予防接種に関して医学的助言をしたいのなら,まず医者になれ [65] まず医者になれ,そうでなければ公衆衛生政策の邪魔をするな [64] io302,アイルランドで反hpvワクチン運動があった際にハリス保健相が [64] そうでなければ公衆衛生政策の邪魔をするな,日本でそう言える厚労相はいないん [40] human,papillomavirus [20] ブータンでもｈｐｖワクチン接種が有効だったとの報告,prevalence [20] prevalence,human [20] papillomavirus,estimation Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G10: