The graph represents a network of 9,542 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 Friday, 27 May 2022 at 07:18 UTC.
The requested start date was Friday, 27 May 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 2-day, 0-hour, 15-minute period from Tuesday, 24 May 2022 at 12:02 UTC to Thursday, 26 May 2022 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 : 9542
Unique Edges : 4799
Edges With Duplicates : 11809
Total Edges : 16608
Number of Edge Types : 5
Retweet : 5328
MentionsInRetweet : 6168
Tweet : 2950
Mentions : 1732
Replies to : 430
Self-Loops : 3005
Reciprocated Vertex Pair Ratio : 0.00550505697093842
Reciprocated Edge Ratio : 0.0109498344792462
Connected Components : 2735
Single-Vertex Connected Components : 1116
Maximum Vertices in a Connected Component : 794
Maximum Edges in a Connected Component : 2007
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 6.155532
Graph Density : 8.62695611616589E-05
Modularity : 0.539473
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,542 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 Friday, 27 May 2022 at 07:18 UTC.
The requested start date was Friday, 27 May 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 2-day, 0-hour, 15-minute period from Tuesday, 24 May 2022 at 12:02 UTC to Thursday, 26 May 2022 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:
[5740] covid,19 [476] downing,street [468] revelation,cleaner [468] cleaner,part [468] part,downing [467] street,cleaning [467] cleaning,team [465] team,cleaned [465] cleaned,human [465] human,spills Top Word Pairs in Tweet in G1:
[1124] covid,19 [118] pandemi,covid [57] puan,pm [55] perekonomian,jawa [55] jawa,tengah [55] paska,pandemi [54] tengah,paska [53] terbukti,mampu [53] membangkitkan,perekonomian [52] mampu,membangkitkan Top Word Pairs in Tweet in G2:
[446] revelation,cleaner [446] cleaner,part [446] part,downing [446] downing,street [446] street,cleaning [446] cleaning,team [446] team,cleaned [446] cleaned,human [446] human,spills [446] spills,including Top Word Pairs in Tweet in G3:
[251] whilst,country [251] country,one [251] one,highest [251] highest,death [251] death,rates [227] statement,#suegrayreport [227] #suegrayreport,whilst [226] covidjusticeuk,statement [37] covid,19 [24] covidjusticeuk,respond Top Word Pairs in Tweet in G4:
[262] covid,19 [137] 19,cuba [130] doce,días [130] días,fallecidos [130] fallecidos,covid [110] casos,positivos [108] semanas,consecutivas [104] cuba,mantiene [104] mantiene,ocho [104] ocho,semanas Top Word Pairs in Tweet in G5:
[46] covid,19 [42] 11,ans [32] vaccins,covid [26] lire,madame [26] madame,soleil [26] soleil,prévoit [26] prévoit,variants [26] variants,plus [26] plus,contagieux [26] contagieux,plus Top Word Pairs in Tweet in G6:
[72] covid,19 [22] #importante,dra [22] dra,laurie [22] laurie,ann [22] ann,ximénez [22] ximénez,fyvie [22] fyvie,lximenezfyvie [22] lximenezfyvie,responsabilizó [22] responsabilizó,presidente [22] presidente,lópez Top Word Pairs in Tweet in G7:
[99] covid,19 [87] repunte,casos [52] subvariantes,ómicron [51] 19,esperarse [51] esperarse,repunte [51] casos,méxico [51] méxico,seguramente [51] seguramente,entrada [51] entrada,subvariantes [50] doctormacias,covid Top Word Pairs in Tweet in G8:
[68] covid,19 [54] third,time [37] vaccination,reduces [37] reduces,risk [37] risk,experiencing [37] experiencing,serious [37] serious,illness [37] illness,covid [34] true,false [34] false,vaccination Top Word Pairs in Tweet in G9:
[151] covid,19 [80] nuevos,casos [71] 19,venezuela [55] contra,covid [44] 33,nuevos [41] lucha,contra [38] venezuela,registra [38] casos,contagios [38] 34,nuevos [36] día,801 Top Word Pairs in Tweet in G10:
[124] covid,19 [103] wheein,tested [100] mild,sore [100] sore,throat [87] tested,positive [87] positive,covid [87] 19,wheein [87] wheein,mild [87] throat,went [87] went,pcr Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: