The graph represents a network of 3,687 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 Monday, 10 May 2021 at 09:39 UTC.
The requested start date was Monday, 10 May 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, 25-minute period from Monday, 26 April 2021 at 00:01 UTC to Sunday, 09 May 2021 at 12:27 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 : 3687
Unique Edges : 2043
Edges With Duplicates : 3934
Total Edges : 5977
Number of Edge Types : 5
Replies to : 559
Tweet : 583
Retweet : 1717
MentionsInRetweet : 2119
Mentions : 999
Self-Loops : 615
Reciprocated Vertex Pair Ratio : 0.0105913503971756
Reciprocated Edge Ratio : 0.0209606986899563
Connected Components : 762
Single-Vertex Connected Components : 239
Maximum Vertices in a Connected Component : 806
Maximum Edges in a Connected Component : 1970
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.826791
Graph Density : 0.000252754137110621
Modularity : 0.588103
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,687 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 Monday, 10 May 2021 at 09:39 UTC.
The requested start date was Monday, 10 May 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, 25-minute period from Monday, 26 April 2021 at 00:01 UTC to Sunday, 09 May 2021 at 12:27 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:
[3136] sars,cov [712] cov,causing [708] causing,myocarditis [361] vaccines,causing [357] causing,paralysis [354] myocarditis,vaccines [354] myocarditis,sars [354] paralysis,vaccines [351] konstantinospo7,sars [351] vaccines,caus Top Word Pairs in Tweet in G1:
[654] sars,cov [650] cov,causing [648] causing,myocarditis [327] vaccines,causing [325] causing,paralysis [324] myocarditis,vaccines [324] myocarditis,sars [324] paralysis,vaccines [323] konstantinospo7,sars [323] vaccines,caus Top Word Pairs in Tweet in G2:
[448] sars,cov [73] αναλυτικοί,πίνακες [68] νέες,μολύνσεις [68] μολύνσεις,sars [62] cov,αναλυτικοί [25] cov,sars [19] mers,cov [17] covid,19 [16] virus,sars [16] δ,μακεδονία Top Word Pairs in Tweet in G3:
[93] análisis,genómico [93] genómico,muestras [93] muestras,realiza [93] realiza,proyecto [93] proyecto,pais [93] pais,circulación [93] circulación,variantes [93] variantes,sars [93] sars,cov [92] andrea_gentil,análisis Top Word Pairs in Tweet in G4:
[181] sars,cov [46] cov,clade [38] rbds,sars [22] cov,causing [22] causing,myocarditis [19] clade,rbds [19] clade,except [19] except,sars [19] cov,itself [19] itself,human Top Word Pairs in Tweet in G5:
[83] transmission,route [83] route,matters [83] matters,aerosol [83] aerosol,exposer [83] exposer,produced [83] produced,more [83] more,severe [83] severe,respiratory [83] respiratory,disease [83] disease,lung Top Word Pairs in Tweet in G6:
[73] falso,linfocitos [73] linfocitos,provoca [73] provoca,vacuna [73] vacuna,oxford [73] oxford,astrazeneca [73] astrazeneca,pfizer [73] pfizer,moderna [73] moderna,células [73] células,definitiva [72] lalbert75,falso Top Word Pairs in Tweet in G7:
[52] sars,cov [45] showed,patients [45] patients,recovered [45] recovered,sars [45] sars,possess [45] possess,long [45] long,lasting [45] lasting,memory [45] memory,cells [45] cells,reactive Top Word Pairs in Tweet in G8:
[120] sars,cov [69] against,sars [52] cov,bat [52] bat,pre [42] check,#preprint [42] #preprint,describing [42] describing,broadly [42] broadly,neutralizing [42] neutralizing,rbd [42] rbd,antibody Top Word Pairs in Tweet in G9:
[9] sars,cov [4] allearthlife,frankdelia7 [4] frankdelia7,brunthebear [4] brunthebear,brendan_neeson [4] brendan_neeson,ladybret [4] ladybret,mcfunny [4] mcfunny,awithonelison [4] awithonelison,delbigtree [4] delbigtree,kevinryan911 [2] photo,sars Top Word Pairs in Tweet in G10:
[28] sars,cov [7] limfocytów,przeciwko [7] przeciwko,sars [7] cov,po [7] po,17 [7] 17,latach [7] latach,od [7] od,początkowego [7] początkowego,zarażenia [7] zarażenia,dane Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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: