The graph represents a network of 5,190 Twitter users whose recent tweets contained "HPV Vaccine", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 13:49 UTC.
The tweets in the network were tweeted over the 2751-day, 14-hour, 15-minute period from Friday, 28 August 2015 at 10:41 UTC to Saturday, 11 March 2023 at 00:56 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5190
Unique Edges : 2828
Edges With Duplicates : 9164
Total Edges : 11992
Number of Edge Types : 9
Retweet : 3770
MentionsInRetweet : 4663
Replies to : 588
MentionsInReplyTo : 1370
Tweet : 841
Quote : 83
Mentions : 542
MentionsInQuoteReply : 62
MentionsInQuote : 73
Self-Loops : 1099
Reciprocated Vertex Pair Ratio : 0.0189737667051642
Reciprocated Edge Ratio : 0.037240932642487
Connected Components : 781
Single-Vertex Connected Components : 445
Maximum Vertices in a Connected Component : 3309
Maximum Edges in a Connected Component : 8743
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.867229
Graph Density : 0.000229327564497449
Modularity : 0.517932
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,190 Twitter users whose recent tweets contained "HPV Vaccine", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 13:49 UTC.
The tweets in the network were tweeted over the 2751-day, 14-hour, 15-minute period from Friday, 28 August 2015 at 10:41 UTC to Saturday, 11 March 2023 at 00:56 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[2776] hpv,vaccine [996] cervical,cancer [541] protect,against [487] hpv,related [449] related,cancers [430] 2006,hpv [425] years,2006 [425] increased,over [425] liars,again [425] 15,years Top Word Pairs in Tweet in G1:
[543] hpv,vaccine [410] hpv,related [409] proves,liars [409] 15,years [409] 2006,hpv [409] cdc,proves [409] liars,again [409] related,cancers [409] years,2006 [409] past,15 Top Word Pairs in Tweet in G2:
[336] hpv,vaccine [200] cervical,cancer [173] protect,against [169] disease,hpv [168] cancer,preventable [168] vaccine,access [168] deadly,virus [168] against,deadly [168] preventable,disease [168] access,crucial Top Word Pairs in Tweet in G3:
[400] hpv,vaccine [391] cervical,cancer [389] one,dose [388] against,cervical [387] whonigeria,one [346] cancer,means [346] breaking,news [346] according,whonigeria [346] protect,against [346] vaccine,protect Top Word Pairs in Tweet in G4:
[294] hpv,vaccine [187] mandate,hpv [124] personal,belief [124] belief,exemptions [105] introduced,bill [102] #ab659,mandate [102] medical,freedom [102] bill,#ab659 [102] assault,medical [102] california's,legislature Top Word Pairs in Tweet in G5:
[241] kim,reynolds [168] cancer,cases [168] mouth,throat [168] governor,kim [168] throat,governor [168] affecting,mouth [168] reynolds,forging [168] iowa,leads [168] nation,cancer [168] cases,affecting Top Word Pairs in Tweet in G6:
[145] hpv,vaccine [67] mandate,children [66] introduced,mandate [66] discusses,hpv [66] bohn,perk [66] bill,introduced [66] vaccine,injuries [66] perk,discusses [66] injuries,bill [66] children,take Top Word Pairs in Tweet in G7:
[175] robertkennedyjr,study [143] use,10 [143] gardasil,use [143] study,another [143] another,merck [143] merck,marketing [143] marketing,ploy [143] old,children [143] expand,gardasil [143] year,old Top Word Pairs in Tweet in G8:
[169] more,bad [169] hpv,baby [169] story,hpv [169] harvesting,more [169] baby,harvesting [169] bad,news [169] never,take [169] horror,story [169] vaccine,tell [169] take,vaccine Top Word Pairs in Tweet in G9:
[80] #hpv,vaccine [45] human,papillomavirus [39] cervical,cancer [39] papillomavirus,hpv [38] women,#hpv [33] 95,#cervicalcancer [33] more,95 [33] 10,girls [33] around,10 [33] hpv,around Top Word Pairs in Tweet in G10:
[74] hpv,vaccine [33] hpv,kids [33] don,hpv [33] grades,12 [33] parents,don [33] ca,parents [33] kids,due [33] many,ca [33] mandates,grades [33] 659,mandates Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: