The graph represents a network of 5,554 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, 04 July 2022 at 02:50 UTC.
The requested start date was Monday, 04 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, 58-minute period from Monday, 20 June 2022 at 00:01 UTC to Sunday, 03 July 2022 at 12:00 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 : 5554
Unique Edges : 3110
Edges With Duplicates : 10828
Total Edges : 13938
Number of Edge Types : 5
Retweet : 4749
MentionsInRetweet : 6280
Mentions : 1505
Tweet : 1100
Replies to : 304
Self-Loops : 1140
Reciprocated Vertex Pair Ratio : 0.0154381716361435
Reciprocated Edge Ratio : 0.0304069160828738
Connected Components : 678
Single-Vertex Connected Components : 316
Maximum Vertices in a Connected Component : 3458
Maximum Edges in a Connected Component : 10680
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.940693
Graph Density : 0.000217532546065897
Modularity : 0.477223
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,554 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, 04 July 2022 at 02:50 UTC.
The requested start date was Monday, 04 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, 58-minute period from Monday, 20 June 2022 at 00:01 UTC to Sunday, 03 July 2022 at 12:00 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:
[447] covid,19 [259] safe,effective [243] child,suffering [230] vaccine,available [228] preventable,disease [227] very,sad [227] sad,see [227] see,child [227] suffering,preventable [227] disease,such Top Word Pairs in Tweet in G1:
[33] covid,19 [30] children,under [30] more,time [27] learn,more [27] zero,dose [25] #polio,vaccination [25] vaccination,campaign [22] ba,ba [21] under,five [21] health,workers Top Word Pairs in Tweet in G2:
[23] covid,19 [14] #covid19,#vaccineswork [13] क,व [13] व,ड [12] #vaccineswork,#vaccinessavelives [11] य,ग [11] #vaccinessavelives,#vaccineswork [10] covid,vaccine [9] त,र [8] ड,19 Top Word Pairs in Tweet in G3:
[200] nbstv,dr [102] dr,dianaatwine [86] town,hall [86] covid,19 [67] hall,panel [67] panel,discussion [62] dr,sabrinakitaka [55] discussion,vaccination [52] #covidvaccinationug,#vaccineswork [52] rhoda,wanyeze Top Word Pairs in Tweet in G4:
[212] very,sad [212] sad,see [212] see,child [212] child,suffering [212] suffering,preventable [212] preventable,disease [212] disease,such [212] safe,effective [212] effective,vaccine [212] vaccine,available Top Word Pairs in Tweet in G5:
[170] sub,national [149] national,immunisation [138] immunisation,campaign [111] million,children [76] against,polio [75] more,million [73] پولیو,وائرس [70] polio,drops [62] پولیو,ویکسین [59] pakfightspolio,sub Top Word Pairs in Tweet in G6:
[142] ema,recommended [140] ema_news,ema [86] recommended,#covid19vaccine [86] #covid19vaccine,developed [86] developed,#valneva [86] #valneva,authorisation [86] authorisation,people [86] people,18 [86] 18,50 [86] 50,years Top Word Pairs in Tweet in G7:
[93] tremendo,honor [93] honor,recibo [93] recibo,humildad [93] humildad,gran [93] gran,motivación [93] motivación,profundo [93] profundo,reconocimiento [93] reconocimiento,quienes [93] quienes,estuvieron [92] pinabertoglia,tremendo Top Word Pairs in Tweet in G8:
[153] first,#covid19 [153] #covid19,vaccine [153] vaccine,dose [153] dose,#vaccineswork [152] destmauricemd,first [6] #covid19,vaccines [6] vaccines,saved [6] saved,estimated [6] estimated,20 [6] 20,million Top Word Pairs in Tweet in G9:
[68] truly,believe [68] believe,deliberately [68] deliberately,poisoning [68] poisoning,children [68] children,harming [68] harming,really [68] really,need [68] need,check [68] check,assumptions [67] dr_scottk,truly Top Word Pairs in Tweet in G10:
[126] vaccinate,children [125] pediatricians,first [125] first,line [125] line,vaccinate [125] children,ve [125] ve,advocating [125] advocating,strongly [124] docmccafferty,pediatricians [18] deeply,disappointed [18] disappointed,see Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: