The graph represents a network of 3,733 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, 19 June 2020 at 08:56 UTC.
The requested start date was Friday, 19 June 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 13-day, 11-hour, 29-minute period from Friday, 05 June 2020 at 00:51 UTC to Thursday, 18 June 2020 at 12:21 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 : 3733
Unique Edges : 2297
Edges With Duplicates : 3768
Total Edges : 6065
Number of Edge Types : 5
Tweet : 617
Retweet : 1516
MentionsInRetweet : 1889
Replies to : 617
Mentions : 1426
Self-Loops : 643
Reciprocated Vertex Pair Ratio : 0.0111301369863014
Reciprocated Edge Ratio : 0.0220152413209145
Connected Components : 831
Single-Vertex Connected Components : 311
Maximum Vertices in a Connected Component : 908
Maximum Edges in a Connected Component : 2025
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.64664
Graph Density : 0.000254314736989895
Modularity : 0.604447
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,733 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, 19 June 2020 at 08:56 UTC.
The requested start date was Friday, 19 June 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 13-day, 11-hour, 29-minute period from Friday, 05 June 2020 at 00:51 UTC to Thursday, 18 June 2020 at 12:21 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:
[469] sars,cov [47] cov,covid [42] covid,19 [38] tweetorial,first [29] first,noticed [21] noticed,over [17] over,similar [17] similar,month [17] month,periods [17] periods,sars Top Word Pairs in Tweet in G3:
[268] haven,seen [54] seen,lot [54] lot,evidence [47] evidence,fully [47] fully,asymptomatic [47] asymptomatic,people [47] people,transmitting [47] transmitting,many [47] many,others [47] others,admittedly Top Word Pairs in Tweet in G4:
[163] sars,cov [163] murciélagos,reservorio [163] reservorio,natural [163] natural,virus [163] virus,marburg [163] marburg,hendra [163] hendra,sosuga [163] sosuga,nipah [163] nipah,probablemente [163] probablemente,sars Top Word Pairs in Tweet in G5:
[174] trio,papers [163] papers,describes [163] describes,several [163] several,newly [163] newly,discovered [163] discovered,human [163] human,antibodies [163] antibodies,target [163] target,#sarscov2 [163] #sarscov2,virus Top Word Pairs in Tweet in G6:
[144] another,study [144] study,showing [144] showing,zinc [144] zinc,plays [144] plays,major [144] major,role [144] role,defeating [144] defeating,sars [144] sars,cov2 [144] cov2,known Top Word Pairs in Tweet in G7:
[136] sars,cov [136] grumfromnorwich,shonadmcdermott [136] shonadmcdermott,retire_young_38 [136] retire_young_38,takethatdoctors [136] takethatdoctors,jdsro159 [136] jdsro159,michaelmina_lab [136] katlarue7,just4thecause [136] milanovnina,ianfmusgrave [136] ianfmusgrave,handmadekathy [136] handmadekathy,yellowsmama Top Word Pairs in Tweet in G8:
[10] sars,cov [7] sars,cov2 [7] vivo,evidence [7] evidence,efficacy [7] efficacy,against [7] against,sars Top Word Pairs in Tweet in G9:
[7] sars,cov [3] aeonexplorer,years [2] years,before [2] before,nih [2] nih,declared [2] declared,hcq [] hcq,potent [] potent,inhibitor [] inhibitor,sars [] cov,under Top Word Pairs in Tweet in G10:
[8] sars,cov [4] cov,sars [4] vero,e6 [4] cells,vs [4] yervand48009866,thomas_binder [4] thomas_binder,encephalopathy [4] encephalopathy,brain [4] brain,inflammation [4] inflammation,cytokine [4] cytokine,storm 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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