The graph represents a network of 6,374 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 Wednesday, 27 May 2020 at 08:41 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 10-day, 17-hour, 15-minute period from Friday, 15 May 2020 at 18:41 UTC to Tuesday, 26 May 2020 at 11:57 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 : 6374
Unique Edges : 4048
Edges With Duplicates : 6551
Total Edges : 10599
Number of Edge Types : 5
Retweet : 2784
MentionsInRetweet : 3733
Tweet : 1020
Replies to : 1160
Mentions : 1902
Self-Loops : 1069
Reciprocated Vertex Pair Ratio : 0.010384552977446
Reciprocated Edge Ratio : 0.0205556447727638
Connected Components : 1299
Single-Vertex Connected Components : 511
Maximum Vertices in a Connected Component : 2529
Maximum Edges in a Connected Component : 5656
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.811748
Graph Density : 0.000153293199251963
Modularity : 0.60568
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 6,374 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 Wednesday, 27 May 2020 at 08:41 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 10-day, 17-hour, 15-minute period from Friday, 15 May 2020 at 18:41 UTC to Tuesday, 26 May 2020 at 11:57 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 G2:
[835] sars,cov [82] muchos,mueren [67] resumen,semana [64] semana,sars [62] cov,palabra [62] palabra,honor [61] honor,somos [61] somos,vulnerables [61] vulnerables,muchos [56] brendacrabtreer,resumen Top Word Pairs in Tweet in G3:
[336] sars,cov [325] dear,realdonaldtrump [324] realdonaldtrump,racist [324] racist,raving [324] raving,simpleminded [324] simpleminded,syphilitic [324] syphilitic,lunatic [324] lunatic,china [324] china,virus [323] virus,sars Top Word Pairs in Tweet in G4:
[176] sars,coronavirus [83] chloroquine,potent [83] potent,inhibitor [83] inhibitor,sars [83] sars,cov [83] zn2,inhibits [83] inhibits,coronavirus [83] 2005,chloroquine [83] coronavirus,arterivirus [83] arterivirus,rna Top Word Pairs in Tweet in G5:
[114] sars,cov [102] cov,sars [102] brazil,33 [100] 33,890 [96] 890,sars [70] cov,positives [70] positives,nuzzling [64] nuzzling,20 [64] 20,000 [64] 000,positives Top Word Pairs in Tweet in G6:
[368] national,library [27] report,2005 [23] 2005,chloroquine [23] chloroquine,potent [23] potent,inhibitor [23] inhibitor,sars [23] sars,coronavirus [23] coronavirus,infection [23] library,medicine [23] medicine,report Top Word Pairs in Tweet in G7:
[173] lookie,article [173] article,2005 [173] 2005,positive [173] positive,effects [173] effects,chloroquine [173] chloroquine,sars [173] sars,cov [173] cov,weird [172] weird,everyone [172] everyone,hates Top Word Pairs in Tweet in G8:
[162] sars,cov [162] cov,type [162] infected,sars [162] more,100 [162] 100,infected [162] type,germany [162] germany,attending [162] attending,religious [162] religious,service [162] thelonevirologi,more Top Word Pairs in Tweet in G9:
[149] sars,cov [61] world,stamped [56] first,outbreak [52] outbreak,sars [52] 2003,first [52] cov,occurred [52] occurred,two [52] two,months [52] months,world [51] stamped,down Top Word Pairs in Tweet in G10:
[68] sars,cov [18] bat,virus [17] spike,protein [17] horseshoe,bat [16] csfc67,roypentland [16] roypentland,cjtjgeol [16] cjtjgeol,fauntleroy1934 [16] fauntleroy1934,bridgetholmstro [16] bridgetholmstro,cyclicaltrends [16] cyclicaltrends,tyotoriffle Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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