The graph represents a network of 4,790 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, 29 October 2020 at 11:04 UTC.
The requested start date was Thursday, 29 October 2020 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, 23-hour, 30-minute period from Thursday, 15 October 2020 at 00:20 UTC to Wednesday, 28 October 2020 at 23:51 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 : 4790
Unique Edges : 3076
Edges With Duplicates : 4398
Total Edges : 7474
Number of Edge Types : 5
Tweet : 629
Replies to : 989
Mentions : 1603
MentionsInRetweet : 2416
Retweet : 1837
Self-Loops : 664
Reciprocated Vertex Pair Ratio : 0.0108840515326522
Reciprocated Edge Ratio : 0.021533728850802
Connected Components : 993
Single-Vertex Connected Components : 344
Maximum Vertices in a Connected Component : 1640
Maximum Edges in a Connected Component : 3637
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.955777
Graph Density : 0.000198393064133141
Modularity : 0.624901
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,790 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, 29 October 2020 at 11:04 UTC.
The requested start date was Thursday, 29 October 2020 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, 23-hour, 30-minute period from Thursday, 15 October 2020 at 00:20 UTC to Wednesday, 28 October 2020 at 23:51 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:
[3706] sars,cov [683] covid,19 [510] cov,virus [504] stefano,scoglio [426] never,isolated [425] virus,never [412] dr,stefano [410] study,sars [407] swabs,produce [407] produce,95 Top Word Pairs in Tweet in G1:
[380] sars,cov [378] dr,stefano [378] stefano,scoglio [378] scoglio,study [378] study,sars [378] cov,virus [378] virus,never [378] never,isolated [378] isolated,covid [378] covid,19 Top Word Pairs in Tweet in G2:
[471] sars,cov [50] cov,sars [43] covid,19 [39] mers,cov [24] respiratory,syndrome [21] social,distancing [18] cov,mers [16] severe,acute [16] acute,respiratory [16] coronavirus,sars Top Word Pairs in Tweet in G3:
[197] sars,cov [43] pcr,test [38] reiner,fuellmich's [34] christian,drosten [32] cov,isolate [30] drosten,fabricated [30] fabricated,pcr [29] fuellmich's,claim [29] claim,christian [29] test,using Top Word Pairs in Tweet in G4:
[335] sars,cov [165] antibodies,serum [165] serum,samples [165] samples,patients [165] patients,infected [165] infected,during [165] during,2003 [165] 2003,sars [165] cov,outbreak [165] outbreak,effectively Top Word Pairs in Tweet in G5:
[100] sars,cov [65] recovered,sars [64] showed,patients [63] next,showed [59] sars,disease [59] disease,associated [40] patients,23 [40] 23,recovered [40] associated,sars [34] cov,infection Top Word Pairs in Tweet in G6:
[93] stefano,scoglio [92] olacak,şimdi [92] şimdi,aralarında [92] aralarında,2018 [92] 2018,nobel [92] nobel,tıp [92] tıp,ödülü [92] ödülü,adayı [92] adayı,bilimsel [92] bilimsel,araştırmacı Top Word Pairs in Tweet in G7:
[54] sars,cov [18] seit,märz [17] cov,problem [17] problem,die [17] die,offensichtliche [17] offensichtliche,unfähigkeit [17] unfähigkeit,politischen [17] politischen,klasse [17] klasse,problemlösung [16] märz,irgendetwas Top Word Pairs in Tweet in G8:
[87] sars,cov [45] despite,donor [45] donor,ferrets [45] ferrets,given [45] given,high [45] high,viral [45] viral,dose [45] dose,recipient [45] recipient,animals [45] animals,received Top Word Pairs in Tweet in G9:
[40] sars,cov [31] cov,virus [31] virus,never [31] never,isolated [22] covid,19 [21] dr,stefano [21] stefano,scoglio [16] swabs,produce [16] produce,95 [16] 95,false Top Word Pairs in Tweet in G10:
[98] sars,cov [49] coronavirus,sars [49] cov,virus [49] virus,identified [49] identified,2003 [49] 2003,sars [49] cov,thought [49] thought,animal [49] animal,virus [49] virus,uncertain Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: