The graph represents a network of 4,759 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, 05 December 2022 at 03:50 UTC.
The requested start date was Monday, 05 December 2022 at 01:01 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, 8-hour, 38-minute period from Monday, 21 November 2022 at 03:14 UTC to Sunday, 04 December 2022 at 11:53 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 : 4759
Unique Edges : 2051
Edges With Duplicates : 9135
Total Edges : 11186
Number of Edge Types : 5
MentionsInRetweet : 4674
Replies to : 351
Retweet : 4090
Mentions : 1076
Tweet : 995
Self-Loops : 1022
Reciprocated Vertex Pair Ratio : 0.0156910078455039
Reciprocated Edge Ratio : 0.0308972073677956
Connected Components : 567
Single-Vertex Connected Components : 234
Maximum Vertices in a Connected Component : 2674
Maximum Edges in a Connected Component : 7998
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.828113
Graph Density : 0.00022297964936417
Modularity : 0.44824
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,759 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, 05 December 2022 at 03:50 UTC.
The requested start date was Monday, 05 December 2022 at 01:01 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, 8-hour, 38-minute period from Monday, 21 November 2022 at 03:14 UTC to Sunday, 04 December 2022 at 11:53 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 : VaccinesWork
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:
[364] growing,body [364] body,evidence [363] vaccines,killing [363] evidence,confirms [363] killing,kids [363] states,growing [363] kids,#safeandeffective [363] confirms,vaccines [363] epidemiologists,states [362] letsgobrando45,epidemiologists Top Word Pairs in Tweet in G1:
[362] kids,#safeandeffective [362] confirms,vaccines [362] epidemiologists,states [362] growing,body [362] states,growing [362] evidence,confirms [362] vaccines,killing [362] killing,kids [362] body,evidence [361] letsgobrando45,epidemiologists Top Word Pairs in Tweet in G2:
[43] #covid19,vaccination [38] return,investment [36] tenfold,return [34] gavi,researchers [33] found,tenfold [33] york,found [33] economic,benefits [33] estimating,economic [33] researchers,estimating [33] benefits,#covid19 Top Word Pairs in Tweet in G3:
[171] rumble,essentially [171] #diedsuddenlydocumentary,#diedsuddenly [171] #diedsuddenly,#vaccineswork [171] essentially,list [171] #vaccineswork,video [171] video,rumble [171] list,people [169] han_francis,#diedsuddenlydocumentary [91] han_francis,#vaccineswork [67] tactics,antivax Top Word Pairs in Tweet in G4:
[228] cervical,cancer [228] cancer,cholera [227] #vaccines,#vaccineswork [226] diphtheria,hep [226] 19,diphtheria [226] child,right [226] cholera,covid [226] covid,19 [226] right,#vaccines [226] #vaccineswork,protect Top Word Pairs in Tweet in G5:
[18] #vaccines,#vaccineswork [16] #vaccineswork,#vaccinessavelives [16] #covid19,#vaccineswork [13] #covid19,#vaccines [13] #vaccinebooster,#covid19 [10] adjunct,lecturer [10] freelance,researcher [10] researcher,adjunct [10] phd,freelance [10] #biomedicalengineering,#researcher Top Word Pairs in Tweet in G6:
[218] yellow,fever [57] fever,vaccination [53] #nvintroductionug,#vaccineswork [45] know,disease [45] vaccination,book [45] requirement,before [45] many,hold [45] hold,yellow [45] travel,know [45] disease,see Top Word Pairs in Tweet in G7:
[35] 150,000 [35] ordered,pay [35] legal,group [35] seneca,college [35] vaccine,mandates [35] college,vaccine [35] group,ordered [35] 000,failed [35] against,seneca [35] failed,case Top Word Pairs in Tweet in G8:
[143] #vaccineswork,#measles [143] vaccinated,measles [143] children,vaccinated [143] measles,nothing [143] nothing,#vaccineswork [143] please,children [142] drtraceyk,please [5] good,protection [5] #reinfection,people [5] protection,vs Top Word Pairs in Tweet in G9:
[166] بچوں,کو [129] sub,national [114] کے,لیے [100] million,children [97] پولیو,سے [91] ہر,مہم [89] سے,بچاؤ [88] پولیو,مہم [87] انسداد,پولیو [87] بچاؤ,کے Top Word Pairs in Tweet in G10:
[122] series,heterologous [122] receive,both [122] booster,approval [122] both,primary [122] intranasal,vaccine [122] world's,first [122] first,intranasal [122] heterologous,booster [122] primary,series [122] vaccine,receive Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: