The graph represents a network of 3,702 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 Tuesday, 22 June 2021 at 10:11 UTC.
The requested start date was Tuesday, 22 June 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, 12-hour, 23-minute period from Tuesday, 08 June 2021 at 00:06 UTC to Monday, 21 June 2021 at 12:30 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 : 3702
Unique Edges : 2133
Edges With Duplicates : 3615
Total Edges : 5748
Number of Edge Types : 5
Replies to : 655
Retweet : 1501
MentionsInRetweet : 1833
Mentions : 1306
Tweet : 453
Self-Loops : 489
Reciprocated Vertex Pair Ratio : 0.00724427702115329
Reciprocated Edge Ratio : 0.0143843498273878
Connected Components : 694
Single-Vertex Connected Components : 183
Maximum Vertices in a Connected Component : 956
Maximum Edges in a Connected Component : 2109
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.631994
Graph Density : 0.000253702220449129
Modularity : 0.6118
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,702 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 Tuesday, 22 June 2021 at 10:11 UTC.
The requested start date was Tuesday, 22 June 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, 12-hour, 23-minute period from Tuesday, 08 June 2021 at 00:06 UTC to Monday, 21 June 2021 at 12:30 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:
[2708] sars,cov [524] mouse,adapted [523] adapted,sars [523] cov,backbone [511] synthesized,shc014 [511] shc014,spike [511] spike,context [511] context,replication [511] replication,competent [511] competent,mouse Top Word Pairs in Tweet in G1:
[511] sars,cov [509] synthesized,shc014 [509] shc014,spike [509] spike,context [509] context,replication [509] replication,competent [509] competent,mouse [509] mouse,adapted [509] adapted,sars [509] cov,backbone Top Word Pairs in Tweet in G2:
[253] sars,cov [48] wuhan,lab [47] remind,ccp [47] ccp,waited [47] waited,25 [47] 25,days [47] days,lock [47] lock,down [47] down,wuhan [47] lab,results Top Word Pairs in Tweet in G3:
[271] sars,cov [18] cov,sars [17] covid,19 [10] mers,cov [9] αναλυτικοί,πίνακες [8] cov,virus [8] νέες,μολύνσεις [8] μολύνσεις,sars [8] cov,αναλυτικοί [7] novel,sars Top Word Pairs in Tweet in G4:
[16] sars,cov [6] potential,confusion [6] confusion,coronavirus [6] coronavirus,particles [6] particles,normal [6] normal,cellular [6] cellular,components [6] components,fact [6] fact,highlighted [6] highlighted,detailed Top Word Pairs in Tweet in G5:
[104] sars,cov [104] cov,invade [104] invade,parénquima [104] parénquima,pulmonar [104] pulmonar,torna [104] torna,amenazante [104] amenazante,cuídense [104] cuídense,gobierno [104] gobierno,guatemala [103] tapirestepario,sars Top Word Pairs in Tweet in G6:
[52] sars,cov [24] report,chloroquine [24] chloroquine,strong [24] strong,antiviral [24] antiviral,effects [24] effects,sars [23] cov,infection [22] infection,primate [22] primate,cells [22] inhibitory,effects Top Word Pairs in Tweet in G7:
[66] sars,cov [58] vezes,mais [57] isso,já [57] já,sabe [57] sabe,variante [57] variante,delta [57] delta,vezes [57] mais,transmissível [57] transmissível,sars [57] cov,original Top Word Pairs in Tweet in G8:
[300] wuhan,virus [250] virus,wuhan [55] sars,cov [25] virus,sars [25] cov,mers [25] mers,cov [25] cov,229e [25] 229e,nl63 [25] nl63,oc43 [25] oc43,hku1 Top Word Pairs in Tweet in G9:
[32] sars,cov [20] anti,spike [20] disease,worse [19] cautionary,tale [19] tale,anti [19] spike,antibody [19] antibody,make [19] make,covid [19] covid,disease [19] worse,study Top Word Pairs in Tweet in G10:
[3] 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:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: