The graph represents a network of 10,519 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 Tuesday, 16 November 2021 at 08:23 UTC.
The requested start date was Tuesday, 16 November 2021 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 4-day, 0-hour, 6-minute period from Thursday, 11 November 2021 at 12:10 UTC to Monday, 15 November 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 : 10519
Unique Edges : 5574
Edges With Duplicates : 11754
Total Edges : 17328
Number of Edge Types : 5
Retweet : 5278
MentionsInRetweet : 6001
Tweet : 3423
Replies to : 489
Mentions : 2137
Self-Loops : 3478
Reciprocated Vertex Pair Ratio : 0.00764934434191355
Reciprocated Edge Ratio : 0.0151825521147126
Connected Components : 3176
Single-Vertex Connected Components : 1135
Maximum Vertices in a Connected Component : 838
Maximum Edges in a Connected Component : 1860
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 10.900762
Graph Density : 7.50098234036108E-05
Modularity : 0.553465
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,519 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 Tuesday, 16 November 2021 at 08:23 UTC.
The requested start date was Tuesday, 16 November 2021 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 4-day, 0-hour, 6-minute period from Thursday, 11 November 2021 at 12:10 UTC to Monday, 15 November 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:
[6569] covid,19 [377] 19,vaccine [346] contra,covid [162] 19,vaccines [157] berhimpun,tempat [156] merentas,negeri [156] negeri,takde [156] takde,masalah [156] masalah,masalahnya [156] masalahnya,ialah Top Word Pairs in Tweet in G1:
[1029] covid,19 [59] 19,vaccine [48] contra,covid [34] november,2021 [30] 19,cases [29] 19,pandemic [25] 19,vaccines [21] 12,november [20] #covid,19 [18] against,covid Top Word Pairs in Tweet in G2:
[207] covid,19 [68] contra,covid [61] #12nov,#gnb_gaesyaracuy [61] #gnb_gaesyaracuy,invita [61] invita,mantener [61] mantener,distancia [61] distancia,preventiva [61] preventiva,5m [61] 5m,covid [55] lucha,contra Top Word Pairs in Tweet in G3:
[156] merentas,negeri [156] negeri,takde [156] takde,masalah [156] masalah,masalahnya [156] masalahnya,ialah [156] ialah,berhimpun [156] berhimpun,tempat [156] tempat,yang [156] yang,sempit [156] sempit,dan Top Word Pairs in Tweet in G4:
[21] télécharger,rapport [21] rapport,accablant [21] accablant,hospitalisations [21] hospitalisations,2020 [21] 2020,met [21] met,lumière [21] lumière,l'odieuse [21] l'odieuse,perfide [21] perfide,mise [21] mise,scène Top Word Pairs in Tweet in G5:
[116] covid,19 [107] partir,hoje [107] hoje,cientificamente [107] cientificamente,confirmado [107] confirmado,fim [107] fim,pico [107] pico,pandemia [107] pandemia,contaminação [107] contaminação,covid [107] 19,deu Top Word Pairs in Tweet in G6:
[9] covid,19 [2] gaslighting,cycle [2] cycle,claim [2] claim,schools [2] schools,'drive' [2] 'drive',transmission [2] transmission,minimise [2] minimise,impact [2] impact,covid [2] 19,children Top Word Pairs in Tweet in G7:
[90] grup,toplantımız [89] covid,19 [62] tbmm,grup [59] mhp,tbmm [47] 19,nedeniyle [45] toplantımız,#16kasım2021 [45] #16kasım2021,salı [45] salı,günü [45] günü,yarın [45] yarın,saat Top Word Pairs in Tweet in G8:
[72] covid,19 [16] contre,covid [14] demande,générale [14] générale,nouveau [14] nouveau,zapping [14] zapping,plandemie [14] plandemie,covid [14] 19,#nonaupassdelahonte [14] #nonaupassdelahonte,#noussommesles6millions [13] yoyo67642627,demande Top Word Pairs in Tweet in G9:
[97] covid,19 [51] texas,doctor [51] defended,ivermectin [51] ivermectin,treatment [51] treatment,covid [51] 19,criticized [51] criticized,vaccine [51] vaccine,mandates [38] mary,bowden [36] doctor,mary Top Word Pairs in Tweet in G10:
[101] covid,19 [23] 19,vaccine [13] surgeon,general [13] general,dr [13] dr,vivek [13] vivek,murthy [13] murthy,responds [13] responds,comments [13] comments,matthew [13] matthew,mcconaughey Top Replied-To in Entire Graph:
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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 G7:
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Top Tweeters in G10: