The graph represents a network of 6,450 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 Friday, 29 May 2020 at 08:56 UTC.
The requested start date was Friday, 29 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 9-day, 17-hour, 12-minute period from Monday, 18 May 2020 at 19:04 UTC to Thursday, 28 May 2020 at 12:16 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 : 6450
Unique Edges : 3987
Edges With Duplicates : 7038
Total Edges : 11025
Number of Edge Types : 5
Retweet : 2989
MentionsInRetweet : 3999
Tweet : 886
Replies to : 1120
Mentions : 2031
Self-Loops : 941
Reciprocated Vertex Pair Ratio : 0.0113986444855206
Reciprocated Edge Ratio : 0.022540359427353
Connected Components : 1133
Single-Vertex Connected Components : 435
Maximum Vertices in a Connected Component : 2764
Maximum Edges in a Connected Component : 5931
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.748885
Graph Density : 0.000157851526767566
Modularity : 0.601065
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 6,450 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 Friday, 29 May 2020 at 08:56 UTC.
The requested start date was Friday, 29 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 9-day, 17-hour, 12-minute period from Monday, 18 May 2020 at 19:04 UTC to Thursday, 28 May 2020 at 12:16 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:
[717] sars,cov [80] dear,realdonaldtrump [60] realdonaldtrump,racist [53] racist,raving [52] raving,simpleminded [52] simpleminded,syphilitic [51] syphilitic,lunatic [51] lunatic,china [51] china,virus [51] virus,sars Top Word Pairs in Tweet in G3:
[243] sars,cov [88] expertas,expertos [88] expertos,científicos [88] científicos,advirtieron [88] advirtieron,reservorios [88] reservorios,virus [88] virus,tipo [88] tipo,sars [88] cov,debían [88] pinabertoglia,expertas Top Word Pairs in Tweet in G4:
[356] sars,cov [340] muchos,mueren [340] resumen,semana [340] semana,sars [340] cov,palabra [340] palabra,honor [340] honor,somos [340] somos,vulnerables [340] vulnerables,muchos [339] brendacrabtreer,resumen Top Word Pairs in Tweet in G5:
[332] sars,coronavirus [327] national,library [326] library,medicine [326] medicine,report [326] report,2005 [326] 2005,chloroquine [326] chloroquine,potent [326] potent,inhibitor [326] inhibitor,sars [325] coronavirus,infection Top Word Pairs in Tweet in G6:
[153] sars,coronavirus [152] sars,cov [152] chloroquine,potent [152] potent,inhibitor [152] inhibitor,sars [152] zn2,inhibits [152] inhibits,coronavirus [152] 2005,chloroquine [152] coronavirus,infection [152] infection,spread Top Word Pairs in Tweet in G7:
[92] sars,cov [84] sars,cov2 [78] rate,change [78] chan,lab [78] lab,preprint [70] cov,versus [70] versus,sars [69] cov2,rate [66] change,chan [66] preprint,special Top Word Pairs in Tweet in G8:
[203] sars,cov [26] evading,immune [26] atomic,details [26] details,#sarscov2 [26] #sarscov2,enters [25] enters,cells [25] cells,differs [25] differs,sars [24] cov,very [23] very,high Top Word Pairs in Tweet in G9:
[246] lookie,article [81] article,2005 [79] 2005,positive [79] positive,effects [79] effects,chloroquine [79] chloroquine,sars [79] sars,cov [79] cov,weird [79] weird,everyone [79] everyone,hates Top Word Pairs in Tweet in G10:
[163] sars,cov [163] contra,sars [163] anticuerpo,monoclonal [163] monoclonal,humano [163] humano,s309 [163] s309,contra [163] cov,neutraliza [163] neutraliza,sars [163] nuevo,francis [163] francis,anticuerpo 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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Top Tweeters in G10: