The graph represents a network of 3,157 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, 06 May 2021 at 11:05 UTC.
The requested start date was Thursday, 06 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, 15-minute period from Thursday, 22 April 2021 at 00:06 UTC to Wednesday, 05 May 2021 at 12:21 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 : 3157
Unique Edges : 2037
Edges With Duplicates : 2891
Total Edges : 4928
Number of Edge Types : 5
Tweet : 586
Retweet : 1218
MentionsInRetweet : 1668
Mentions : 930
Replies to : 526
Self-Loops : 615
Reciprocated Vertex Pair Ratio : 0.0117443868739206
Reciprocated Edge Ratio : 0.0232161147149198
Connected Components : 746
Single-Vertex Connected Components : 249
Maximum Vertices in a Connected Component : 363
Maximum Edges in a Connected Component : 1018
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.99432
Graph Density : 0.000293973237495448
Modularity : 0.619072
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,157 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, 06 May 2021 at 11:05 UTC.
The requested start date was Thursday, 06 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, 15-minute period from Thursday, 22 April 2021 at 00:06 UTC to Wednesday, 05 May 2021 at 12:21 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:
[2287] sars,cov [123] covid,19 [114] cov,sars [105] variantes,sars [100] against,sars [94] análisis,genómico [94] genómico,muestras [94] muestras,realiza [94] realiza,proyecto [94] proyecto,pais Top Word Pairs in Tweet in G1:
[453] sars,cov [81] αναλυτικοί,πίνακες [72] νέες,μολύνσεις [72] μολύνσεις,sars [65] cov,αναλυτικοί [30] cov,sars [18] δ,μακεδονία [17] covid,19 [16] αν,μακεδονία [16] μακεδονία,θράκη Top Word Pairs in Tweet in G2:
[193] sars,cov [47] cov,clade [43] correct,scientific [43] scientific,articles [43] articles,shown [43] shown,dezying [43] dezying,linking [43] linking,increase [43] increase,#covid19's [43] #covid19's,virulence 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:
[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 G5:
[28] sars,cov [6] acceso,información [6] información,pública [4] allearthlife,frankdelia7 [4] frankdelia7,brunthebear [4] brunthebear,brendan_neeson [4] brendan_neeson,ladybret [4] ladybret,mcfunny [4] mcfunny,awithonelison [4] awithonelison,delbigtree 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:
[114] sars,cov [66] against,sars [51] cov,bat [51] bat,pre [41] check,#preprint [41] #preprint,describing [41] describing,broadly [41] broadly,neutralizing [41] neutralizing,rbd [41] rbd,antibody Top Word Pairs in Tweet in G8:
[44] showed,patients [44] patients,recovered [44] recovered,sars [44] sars,possess [44] possess,long [44] long,lasting [44] lasting,memory [44] memory,cells [44] cells,reactive [44] reactive,protein Top Word Pairs in Tweet in G9:
[2] cov,sars [2] sars,cov Top Word Pairs in Tweet in G10:
[34] doctors,around [34] around,world [34] world,unite [34] unite,call [34] call,covid [34] covid,#vaccines [34] #vaccines,unnecessary [34] unnecessary,ineffective [34] ineffective,unsafe [34] unsafe,multiple Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: