The graph represents a network of 4,188 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 Sunday, 25 October 2020 at 08:48 UTC.
The requested start date was Sunday, 25 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, 20-minute period from Sunday, 11 October 2020 at 00:26 UTC to Saturday, 24 October 2020 at 23:46 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 : 4188
Unique Edges : 2772
Edges With Duplicates : 3318
Total Edges : 6090
Number of Edge Types : 5
Retweet : 1323
MentionsInRetweet : 1748
Tweet : 579
Replies to : 913
Mentions : 1527
Self-Loops : 607
Reciprocated Vertex Pair Ratio : 0.0117836100696304
Reciprocated Edge Ratio : 0.023292747485442
Connected Components : 976
Single-Vertex Connected Components : 325
Maximum Vertices in a Connected Component : 790
Maximum Edges in a Connected Component : 1758
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.343802
Graph Density : 0.000215452887901311
Modularity : 0.646522
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,188 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 Sunday, 25 October 2020 at 08:48 UTC.
The requested start date was Sunday, 25 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, 20-minute period from Sunday, 11 October 2020 at 00:26 UTC to Saturday, 24 October 2020 at 23:46 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:
[3100] sars,cov [215] covid,19 [210] cov,sars [208] 2003,sars [179] coronavirus,sars [165] mers,cov [159] patients,infected [155] cov,outbreak [153] neutralized,sars [152] antibodies,serum Top Word Pairs in Tweet in G1:
[441] sars,cov [49] cov,sars [34] covid,19 [29] mers,cov [21] respiratory,syndrome [21] social,distancing [20] cov,mers [16] acute,respiratory [16] coronavirus,sars [15] severe,acute Top Word Pairs in Tweet in G2:
[128] sars,cov [35] pcr,test [29] reiner,fuellmich's [25] christian,drosten [25] cov,isolate [23] drosten,fabricated [23] fabricated,pcr [22] fuellmich's,claim [22] claim,christian [22] test,using Top Word Pairs in Tweet in G3:
[297] sars,cov [148] antibodies,serum [148] serum,samples [148] samples,patients [148] patients,infected [148] infected,during [148] during,2003 [148] 2003,sars [148] cov,outbreak [148] outbreak,effectively Top Word Pairs in Tweet in G4:
[82] 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 G5:
[97] sars,cov [40] 2003,sars [38] sars,coronavirus [38] coronavirus,sars [38] cov,virus [38] virus,identified [38] identified,2003 [38] cov,thought [38] thought,animal [38] animal,virus Top Word Pairs in Tweet in G6:
[74] compare,lance [74] lance,étude [74] étude,conséquences [74] conséquences,long [74] long,terme [74] terme,#covid19 [74] #covid19,covid [74] covid,long [74] long,pouvez [74] pouvez,participer Top Word Pairs in Tweet in G7:
[39] sars,cov [12] stevebakerhw,sars [12] cov,died [11] venivici27,gerdosi [11] gerdosi,ballouxfrancois [11] ballouxfrancois,jamestodaromd [11] jamestodaromd,rfsquared [11] rfsquared,strong [11] strong,antibody [11] antibody,response Top Word Pairs in Tweet in G8:
[47] sars,cov [5] persistent,infection [4] minority,patients [4] patients,appears [4] appears,degree [4] degree,persistent [4] infection,sars [4] cov,occurs [4] occurs,ordinarily [4] ordinarily,cytotoxic Top Word Pairs in Tweet in G9:
[58] pcr,test [56] sars,cov [54] cov,virus [54] virus,nog [54] nog,steeds [54] steeds,niet [54] niet,geïsoleerd [54] geïsoleerd,hoe [54] hoe,pcr [54] test,dan Top Word Pairs in Tweet in G10:
[3] sars,cov [2] vscienco,gemmspp [2] gemmspp,random_dragon [2] random_dragon,salvagarca4 [2] salvagarca4,anarkristo [2] anarkristo,punkisantxez [2] punkisantxez,enricbernedaben [2] enricbernedaben,ipodmusica [2] ipodmusica,jbarrios107 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
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:
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: