The graph represents a network of 5,260 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 13:50 UTC.
The tweets in the network were tweeted over the 2925-day, 0-hour, 15-minute period from Sunday, 08 February 2015 at 00:44 UTC to Saturday, 11 February 2023 at 00:59 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 : 5260
Unique Edges : 2146
Edges With Duplicates : 9939
Total Edges : 12085
Number of Edge Types : 9
Retweet : 3537
MentionsInRetweet : 4094
Tweet : 826
Replies to : 1085
MentionsInReplyTo : 1951
Mentions : 386
Quote : 120
MentionsInQuote : 60
MentionsInQuoteReply : 26
Self-Loops : 1175
Reciprocated Vertex Pair Ratio : 0.0315658804752616
Reciprocated Edge Ratio : 0.0611999312360323
Connected Components : 701
Single-Vertex Connected Components : 296
Maximum Vertices in a Connected Component : 2526
Maximum Edges in a Connected Component : 6370
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.089834
Graph Density : 0.000210285897722318
Modularity : 0.483062
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,260 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 13:50 UTC.
The tweets in the network were tweeted over the 2925-day, 0-hour, 15-minute period from Sunday, 08 February 2015 at 00:44 UTC to Saturday, 11 February 2023 at 00:59 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:
[1806] hpv,vaccine [1423] cervical,cancer [662] hpv,caused [662] caused,untold [662] damage,teenagers [662] covid,injury [662] tales,covid [662] untold,damage [662] rebecca,12 [662] 12,jab Top Word Pairs in Tweet in G1:
[644] tales,covid [644] jab,left [644] teenagers,rebecca [644] damage,teenagers [644] 12,jab [644] dominate,twitter [644] hpv,caused [644] covid,injury [644] injury,dominate [644] rebecca,12 Top Word Pairs in Tweet in G2:
[310] cervical,cancer [306] work,led [306] led,creation [305] virus,infections [305] infections,work [305] discovered,cervical [305] hausen,discovered [305] cancer,triggered [305] triggered,virus [305] virologist,harald Top Word Pairs in Tweet in G3:
[253] hpv,vaccine [105] cervical,cancer [22] human,papillomavirus [18] cancer,prevention [17] hpv,vaccination [16] getting,hpv [14] close,care [14] care,gap [14] against,hpv [14] papillomavirus,hpv Top Word Pairs in Tweet in G4:
[168] #hpv,vaccine [86] hpv,vaccine [77] high,risk [76] strains,hpv [76] risk,strains [76] cases,high [76] highly,effective [76] effective,prevent [76] vaccine,highly [76] prevent,cases Top Word Pairs in Tweet in G5:
[247] cancer,screening [247] free,cervical [247] aged,18 [247] women,aged [247] feb,westlands [247] btw,shall [247] hospital,women [247] screening,tomorrow [247] tomorrow,2nd [247] shall,free Top Word Pairs in Tweet in G6:
[167] cancer,screening [167] free,cervical [167] aged,18 [167] women,aged [167] feb,westlands [167] btw,shall [167] hospital,women [167] screening,tomorrow [167] tomorrow,2nd [167] shall,free Top Word Pairs in Tweet in G7:
[74] opus,dei [71] taught,kids [71] received,over [71] cause,cancer [71] pill,cause [71] abortion,pill [71] schools,received [71] kids,abortion [71] cancer,women [70] money,taught Top Word Pairs in Tweet in G8:
[33] anti,vaxx [20] gogo6969,stkirsch [17] vaxx,vaccines [17] became,anti [17] vaccines,unfortunately [17] stkirsch,happened [17] happened,became [17] unfortunately,dangerous [15] hpv,vaccine [13] vaxx,revelation Top Word Pairs in Tweet in G9:
[108] hpv,vaccine [67] protects,against [67] types,cancer [67] vaccine,protects [67] vgclements1,hpv [66] six,types [66] lie,detector [66] detector,shows [66] against,six [66] cancer,lie Top Word Pairs in Tweet in G10:
[100] hpv,vaccine [64] gardasil,hpv [51] cervical,cancer [50] cancer,vaccinated [50] risk,cervical [49] increasing,risk [49] vaccinated,age [48] groups,covid [48] vaccine,appears [48] age,groups Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: