The graph represents a network of 6,127 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, 31 July 2020 at 09:00 UTC.
The requested start date was Friday, 31 July 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 4-day, 13-hour, 36-minute period from Saturday, 25 July 2020 at 22:50 UTC to Thursday, 30 July 2020 at 12:27 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 : 6127
Unique Edges : 2628
Edges With Duplicates : 8879
Total Edges : 11507
Number of Edge Types : 5
Replies to : 612
Mentions : 1487
Tweet : 299
Retweet : 4105
MentionsInRetweet : 5004
Self-Loops : 329
Reciprocated Vertex Pair Ratio : 0.00629307761462391
Reciprocated Edge Ratio : 0.0125074449076831
Connected Components : 495
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 3642
Maximum Edges in a Connected Component : 7708
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.284544
Graph Density : 0.000178931092932749
Modularity : 0.537609
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,127 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, 31 July 2020 at 09:00 UTC.
The requested start date was Friday, 31 July 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 4-day, 13-hour, 36-minute period from Saturday, 25 July 2020 at 22:50 UTC to Thursday, 30 July 2020 at 12:27 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:
[5920] sars,cov [2353] pcr,sars [2343] cov,negativo [2282] negativo,bom [2282] bom,dia [2267] jairbolsonaro,pcr [1726] virus,sars [930] cov,virus [845] cov,separaron [845] separaron,genéticamente Top Word Pairs in Tweet in G1:
[2268] sars,cov [2266] pcr,sars [2266] cov,negativo [2262] negativo,bom [2262] bom,dia [2258] jairbolsonaro,pcr [4] presidente,postou [4] postou,hoje [4] hoje,cedo [4] cedo,pcr Top Word Pairs in Tweet in G2:
[1682] virus,sars [1682] sars,cov [841] pasada,estudio [841] estudio,virus [841] cov,virus [841] cov,separaron [841] separaron,genéticamente [841] genéticamente,hacia [841] hacia,año [841] año,200 Top Word Pairs in Tweet in G3:
[183] sars,cov [65] vitro,studies [65] studies,shown [63] #qplusnews,#closys [63] #closys,mouthwash [63] mouthwash,kills [63] kills,sars [63] cov,vitro [63] shown,closys [63] closys,over Top Word Pairs in Tweet in G4:
[224] sars,cov [214] against,sars [212] nih,confirmed [212] confirmed,hydroxychloroquine [212] hydroxychloroquine,effective [212] effective,against [212] cov,2005 [204] mitchellvii,nih [203] psychictimo,mitchellvii [7] patrici15767099,nih Top Word Pairs in Tweet in G5:
[215] sars,cov [16] covid,19 [15] mers,cov [14] cov,sars [14] cov,infection [10] coronavirus,sars [10] infection,spread [10] cov,mers [9] pcr,sars [9] respiratory,syndrome Top Word Pairs in Tweet in G6:
[46] sars,cov [14] hockeyfanct10,2020_lovelife [14] 2020_lovelife,timelapserunner [14] timelapserunner,miltonffan [14] miltonffan,shannon120469 [14] shannon120469,justinformu [14] justinformu,tracybeanz [14] tracybeanz,fda_drug_info [13] wjack76995,hockeyfanct10 [10] dr,fauci Top Word Pairs in Tweet in G7:
[59] sars,cov [27] literally,existing [27] existing,medical [26] medical,publications [26] publications,demonstrating [26] demonstrating,efficacy [26] efficacy,zinc [26] zinc,therapy [23] zinc,literally [20] realbrysongray,zinc Top Word Pairs in Tweet in G8:
[33] sars,cov [7] cov,sars [4] chloroquine,potent [4] potent,inhibitor [4] inhibitor,sars [4] infection,spread [3] covid,strains [3] 229e,alpha [3] alpha,nl63 [3] nl63,alpha Top Word Pairs in Tweet in G9:
[26] sars,cov [6] more,30 [6] 30,strains [6] strains,coronavirus [6] coronavirus,isolated [6] isolated,laboratory [6] laboratory,seven [6] hcov,229e [6] 229e,hcov [6] hcov,oc43 Top Word Pairs in Tweet in G10:
[35] nih,2004 [35] 2004,chloroquine [35] chloroquine,old [35] old,antimalarial [35] antimalarial,drug [35] drug,considered [35] sars,cov [32] proud_libtard,utobian [32] utobian,one [32] one,2004 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: