The graph represents a network of 4,666 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 September 2019 at 09:25 UTC.
The requested start date was Monday, 16 September 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 5-day, 9-hour, 35-minute period from Tuesday, 10 September 2019 at 14:19 UTC to Sunday, 15 September 2019 at 23:55 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 : 4666
Unique Edges : 7415
Edges With Duplicates : 2023
Total Edges : 9438
Number of Edge Types : 3
Replies to : 338
Mentions : 8250
Tweet : 850
Self-Loops : 850
Reciprocated Vertex Pair Ratio : 0.01647312989468
Reciprocated Edge Ratio : 0.0324123273113709
Connected Components : 461
Single-Vertex Connected Components : 259
Maximum Vertices in a Connected Component : 3742
Maximum Edges in a Connected Component : 8373
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.64224
Graph Density : 0.000345846374929997
Modularity : 0.650992
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[313] eu_health,#vaccinationsummit19 [238] organised,eu_commission [235] co,organised [231] #vaccinationsummit19,kicks [231] kicks,thursday [231] thursday,brussels [231] brussels,event [231] event,co [196] les,#vaccins [196] #vaccins,ont Top Word Pairs in Tweet in G1:
[291] eu_health,#vaccinationsummit19 [225] organised,eu_commission [224] co,organised [220] #vaccinationsummit19,kicks [220] kicks,thursday [220] thursday,brussels [220] brussels,event [220] event,co [133] vaccine,preventable [100] thanks,vaccines Top Word Pairs in Tweet in G2:
[84] #vaccineswork,#ivax2protect [78] anti,vaxxers [77] #stopantivaxviolence,#vaccineswork [59] drpanmd,#stopantivaxviolence [56] guy,fawkes [38] s,work [37] physical,assault [37] assault,democracy [37] democracy,anti [37] vaxxers,ca Top Word Pairs in Tweet in G3:
[82] know,facts [82] facts,stop [82] stop,vaccinating [82] vaccinating,diseases [82] diseases,become [82] become,uncommon [82] uncommon,return [82] return,vaccines [82] vaccines,great [82] great,tool Top Word Pairs in Tweet in G4:
[55] polio,immunization [55] immunization,campaign [54] even,flooded [54] flooded,road [54] road,stopped [54] stopped,unicefghana [54] unicefghana,reaching [54] reaching,children [54] children,time [54] time,start Top Word Pairs in Tweet in G5:
[11] na,na [10] #vaccineswork,#vaccinessavelives [10] flu,shot [9] anti,vaxxers [9] flu,vaccine [6] don,t [6] tomorrow,watch [6] watch,#vaccinationsummit19 [6] #vaccinationsummit19,live [6] live,see Top Word Pairs in Tweet in G6:
[196] les,#vaccins [196] #vaccins,ont [196] ont,permis [196] permis,l'éradication [196] l'éradication,variole [196] variole,quasi [196] quasi,élimination [196] élimination,polio [196] polio,et [196] et,évitent Top Word Pairs in Tweet in G7:
[79] abc,removes [79] removes,poll [79] poll,results [79] results,show [79] show,93 [79] 93,people [79] people,disagree [79] disagree,california's [79] california's,fascist [79] fascist,#vaccine Top Word Pairs in Tweet in G8:
[93] many,people [93] people,think [93] think,vaccine [93] vaccine,hesitance [93] hesitance,prevalent [93] prevalent,reality [93] reality,93 [93] 93,americans [93] americans,doing [93] doing,right Top Word Pairs in Tweet in G9:
[77] 1,week [77] week,#flushot [77] #flushot,haven't [77] haven't,caught [77] caught,flu [77] flu,haven't [77] haven't,fallen [77] fallen,coma [77] coma,haven't [77] haven't,hit Top Word Pairs in Tweet in G10:
[22] nurses,midwives [22] midwives,key [22] key,role [22] role,education [22] education,advice [22] advice,supporting [22] supporting,uptake [22] uptake,vaccines [22] vaccines,welcome [22] welcome,launch 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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