The graph represents a network of 10,134 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 20 September 2021 at 07:23 UTC.
The requested start date was Monday, 20 September 2021 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 3-day, 0-hour, 3-minute period from Thursday, 16 September 2021 at 12:14 UTC to Sunday, 19 September 2021 at 12:17 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 : 10134
Unique Edges : 5227
Edges With Duplicates : 12492
Total Edges : 17719
Number of Edge Types : 5
Retweet : 5626
MentionsInRetweet : 6600
Tweet : 3299
Replies to : 464
Mentions : 1730
Self-Loops : 3337
Reciprocated Vertex Pair Ratio : 0.00569627923888014
Reciprocated Edge Ratio : 0.0113280308508074
Connected Components : 2943
Single-Vertex Connected Components : 994
Maximum Vertices in a Connected Component : 694
Maximum Edges in a Connected Component : 1620
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.600291
Graph Density : 8.08080241491537E-05
Modularity : 0.537221
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,134 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 20 September 2021 at 07:23 UTC.
The requested start date was Monday, 20 September 2021 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 3-day, 0-hour, 3-minute period from Thursday, 16 September 2021 at 12:14 UTC to Sunday, 19 September 2021 at 12:17 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 : COVID-19
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:
[6762] covid,19 [409] 19,vaccine [386] contra,covid [323] leitos,uti [323] uti,covid [302] died,covid [271] 19,em [249] govbr,autorizou [249] autorizou,repasse [249] repasse,mais Top Word Pairs in Tweet in G1:
[864] covid,19 [45] contra,covid [39] 19,vaccine [27] against,covid [24] 19,cases [23] 19,vaccines [19] 19,pandemic [17] vaccinated,against [15] vatican,morally [15] morally,acceptable Top Word Pairs in Tweet in G2:
[382] covid,19 [323] leitos,uti [323] uti,covid [259] 19,em [249] govbr,autorizou [249] autorizou,repasse [249] repasse,mais [249] mais,bilhão [249] bilhão,custeio [249] custeio,24 Top Word Pairs in Tweet in G3:
[249] covid,19 [156] sister,law [151] georgia,gov [151] gov,brian [87] due,covid [83] brian,kemp [80] died,covid [78] law,georgia [76] passed,away [73] news,gov Top Word Pairs in Tweet in G4:
[209] covid,19 [71] positif,covid [64] pintu,masuk [64] masuk,udara [64] udara,dan [64] dan,laut [64] laut,ke [64] ke,pulau [64] pulau,langkawi [61] kes,positif Top Word Pairs in Tweet in G5:
[117] covid,19 [57] contra,covid [27] 350,795 [25] #covid_19,estadísticas [25] estadísticas,generales [25] generales,coronavirus [25] coronavirus,#venezuela [25] #venezuela,total [25] total,contagios [25] contagios,350 Top Word Pairs in Tweet in G6:
[113] covid,19 [29] clinical,benefit [29] benefit,remdesivir [29] remdesivir,licensed [29] licensed,covid [28] rwmalonemd,clinical [21] opinion,doctor [21] doctor,avoid [21] avoid,covid [21] 19,mandates Top Word Pairs in Tweet in G7:
[124] covid,19 [56] positif,covid [55] ke,langkawi [45] kerajaan,setuju [45] setuju,pelaksanaan [45] pelaksanaan,pemberian [45] pemberian,beri [45] beri,ketiga [45] ketiga,vaksin [45] vaksin,covid Top Word Pairs in Tweet in G8:
[40] covid,19 [39] news,yesterday [39] yesterday,pfizer [39] pfizer,made [39] made,19 [39] 19,billion [39] billion,q2 [39] q2,year [39] year,211 [39] 211,million Top Word Pairs in Tweet in G9:
[49] covid,19 [11] times,square [11] square,stormed [11] stormed,anti [11] anti,vaxxers [11] vaxxers,protesting [11] protesting,nyc [10] nypost,times [10] bill,maher [10] maher,liberal Top Word Pairs in Tweet in G10:
[66] directeur,chu [66] chu,guadeloupe [66] appliquer,loi [37] guadeloupe,décidé [37] décidé,appliquer [37] loi,obligation [37] obligation,vaccinale [37] vaccinale,fait [37] fait,travailler [36] infosdroits,directeur Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Mentioned in G6:
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:
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: