The graph represents a network of 3,139 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 July 2021 at 11:03 UTC.
The requested start date was Thursday, 01 July 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 13-day, 11-hour, 38-minute period from Thursday, 17 June 2021 at 00:04 UTC to Wednesday, 30 June 2021 at 11:43 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 : 3139
Unique Edges : 1826
Edges With Duplicates : 2899
Total Edges : 4725
Number of Edge Types : 5
Retweet : 1125
MentionsInRetweet : 1340
Replies to : 583
Mentions : 1245
Tweet : 432
Self-Loops : 464
Reciprocated Vertex Pair Ratio : 0.0079136690647482
Reciprocated Edge Ratio : 0.0157030692362598
Connected Components : 675
Single-Vertex Connected Components : 192
Maximum Vertices in a Connected Component : 371
Maximum Edges in a Connected Component : 843
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.594205
Graph Density : 0.000284461749031642
Modularity : 0.61579
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,139 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 July 2021 at 11:03 UTC.
The requested start date was Thursday, 01 July 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 13-day, 11-hour, 38-minute period from Thursday, 17 June 2021 at 00:04 UTC to Wednesday, 30 June 2021 at 11:43 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 : SARS-COV
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:
[2134] sars,cov [303] wuhan,virus [250] virus,wuhan [138] causado,sars [138] 360º,realizada [138] realizada,george [138] george,washington [138] washington,university [136] university,hospita [129] daño,pulmonar Top Word Pairs in Tweet in G1:
[277] sars,cov [19] virus,sars [15] mers,cov [13] cov,sars [13] covid,19 [12] αναλυτικοί,πίνακες [10] νέες,μολύνσεις [10] μολύνσεις,sars [10] cov,αναλυτικοί [10] namikof,sars Top Word Pairs in Tweet in G2:
[159] sars,cov [16] cov,sars [9] ydeigin,lab_leak [9] emergence,sars [8] zhihuachen,ydeigin [8] cov,highlights [8] highlights,need [8] need,develop [8] develop,universal [8] universal,vaccination Top Word Pairs in Tweet in G3:
[129] daño,pulmonar [129] pulmonar,causado [129] causado,sars [129] sars,cov [129] cov,realidadvirtual [129] realidadvirtual,360º [129] 360º,realizada [129] realizada,george [129] george,washington [129] washington,university Top Word Pairs in Tweet in G4:
[112] sars,cov [110] cov,invade [110] invade,parénquima [110] parénquima,pulmonar [110] pulmonar,torna [110] torna,amenazante [110] amenazante,cuídense [110] cuídense,gobierno [110] gobierno,guatemala [109] tapirestepario,sars Top Word Pairs in Tweet in G5:
[108] ช,ดตรวจ [108] ดตรวจ,sars [108] sars,cov [108] cov,วางจำหน [108] วางจำหน,ายแล [108] ายแล,วว [108] วว,นน [108] นน,ท [108] ท,family [108] family,mart Top Word Pairs in Tweet in G6:
[5] sars,cov [3] severe,acute [3] acute,respiratory [3] respiratory,syndrome [3] cov,sars [2] boastira,pawley_robert [2] thatsnotmine125,rtheatheist [2] airbagandme,skepticalmutant [2] skepticalmutant,mcfunny [2] mcfunny,chrisjohnsonmd Top Word Pairs in Tweet in G7:
[31] spike,protein [30] 2007,peptide [30] peptide,sharing [30] sharing,study [30] study,garroting [30] garroting,human [30] human,immune [30] immune,system [30] system,antibodies [30] antibodies,against Top Word Pairs in Tweet in G8:
[38] passieren,die [38] die,komplette [38] komplette,durchseuchung [38] durchseuchung,großteils [38] großteils,klein [38] klein,kinder [38] kinder,jugendlichen [37] ljohnsdorf,passieren [37] jugendlichen,schwe [27] beginn,super Top Word Pairs in Tweet in G9:
[2] sars,cov Top Word Pairs in Tweet in G10:
[4] sars,cov [2] enricbernedaben,sugayos [2] sugayos,anarkristo [2] anarkristo,random_dragon [2] random_dragon,gemmspp [2] gemmspp,carmenvivomivid [2] carmenvivomivid,nccarmon [2] nccarmon,jbarrios107 [2] jbarrios107,andresj777 [2] andresj777,manucelar Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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 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: