The graph represents a network of 4,739 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, 11 July 2022 at 02:50 UTC.
The requested start date was Monday, 11 July 2022 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, 11-hour, 49-minute period from Monday, 27 June 2022 at 00:18 UTC to Sunday, 10 July 2022 at 12:08 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 : 4739
Unique Edges : 2659
Edges With Duplicates : 8962
Total Edges : 11621
Number of Edge Types : 5
Tweet : 936
Retweet : 3914
MentionsInRetweet : 5234
Replies to : 298
Mentions : 1239
Self-Loops : 987
Reciprocated Vertex Pair Ratio : 0.0169369369369369
Reciprocated Edge Ratio : 0.033309709425939
Connected Components : 663
Single-Vertex Connected Components : 299
Maximum Vertices in a Connected Component : 2746
Maximum Edges in a Connected Component : 8624
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.362868
Graph Density : 0.000251365250900733
Modularity : 0.482688
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,739 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, 11 July 2022 at 02:50 UTC.
The requested start date was Monday, 11 July 2022 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, 11-hour, 49-minute period from Monday, 27 June 2022 at 00:18 UTC to Sunday, 10 July 2022 at 12:08 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:
[353] covid,19 [345] child,suffering [331] safe,effective [329] preventable,disease [312] very,sad [312] sad,see [312] see,child [312] suffering,preventable [312] disease,such [312] effective,vaccine Top Word Pairs in Tweet in G1:
[54] covid,19 [41] continue,actively [41] actively,respond [41] respond,#covid19 [41] #covid19,ensure [41] ensure,routine [41] routine,immunizations [41] immunizations,continue [41] continue,order [41] order,stop Top Word Pairs in Tweet in G2:
[294] very,sad [294] sad,see [294] see,child [294] child,suffering [294] suffering,preventable [294] preventable,disease [294] disease,such [294] safe,effective [294] effective,vaccine [293] such,#diptheria Top Word Pairs in Tweet in G3:
[29] covid,19 [14] #covid19,#vaccineswork [11] #vaccinessavelives,#vaccineswork [8] #vaccineswork,#covidisnotover [8] gavi,vaccine [8] vaccine,alliance [7] #vaccineswork,#vaccinessavelives [7] enemy,2019 [7] 2019,yes [7] yes,worst Top Word Pairs in Tweet in G4:
[190] nbstv,dr [101] dr,dianaatwine [88] town,hall [83] covid,19 [69] hall,panel [69] panel,discussion [59] dr,sabrinakitaka [57] discussion,vaccination [52] #covidvaccinationug,#vaccineswork [49] rhoda,wanyeze Top Word Pairs in Tweet in G5:
[110] ø,ø [107] sub,national [104] national,immunisation [96] million,children [92] immunisation,campaign [74] more,million [71] polio,drops [63] پولیو,ویکسین [59] drops,children [56] against,polio Top Word Pairs in Tweet in G6:
[172] vaxxer,cousin [172] cousin,husband [172] husband,vaccinated [172] vaccinated,told [172] told,divorce [172] divorce,husband [171] annadamiano20,vaxxer [171] husband,nowâ [15] gracierichter,nbnnews [9] breezielt,gracierichter Top Word Pairs in Tweet in G7:
[63] aã,os [49] niã,os [49] os,vacunar [49] vacunar,diagnosticados [49] diagnosticados,primer [49] primer,caso [49] caso,difteria [49] difteria,siglo [49] siglo,australia [49] australia,mã Top Word Pairs in Tweet in G8:
[70] truly,believe [70] believe,deliberately [70] deliberately,poisoning [70] poisoning,children [70] children,harming [70] harming,really [70] really,need [70] need,check [69] dr_scottk,truly [69] check,assumptions Top Word Pairs in Tweet in G9:
[46] during,#polio [46] #polio,vaccination [46] vaccination,campaign [46] campaign,bethlehem [46] bethlehem,jerusalem [46] jerusalem,governorates [46] governorates,children [46] children,under [46] under,five [46] five,received Top Word Pairs in Tweet in G10:
[70] dr,peter [70] peter,mccullough [70] mccullough,typical [70] typical,standard [70] standard,biologic [70] biologic,product [70] product,50 [70] 50,deaths [70] deaths,pull [70] pull,market Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: