The graph represents a network of 6,499 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 Monday, 06 April 2020 at 08:30 UTC.
The requested start date was Monday, 06 April 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, 18-hour, 1-minute period from Tuesday, 31 March 2020 at 16:25 UTC to Sunday, 05 April 2020 at 10:27 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 : 6499
Unique Edges : 6570
Edges With Duplicates : 1318
Total Edges : 7888
Number of Edge Types : 4
Tweet : 833
Replies to : 1087
MentionsInRetweet : 3907
Mentions : 2061
Self-Loops : 833
Reciprocated Vertex Pair Ratio : 0.0116576173746407
Reciprocated Edge Ratio : 0.0230465666929755
Connected Components : 1145
Single-Vertex Connected Components : 412
Maximum Vertices in a Connected Component : 2161
Maximum Edges in a Connected Component : 3352
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.599689
Graph Density : 0.000150010056712089
Modularity : 0.815809
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 6,499 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 Monday, 06 April 2020 at 08:30 UTC.
The requested start date was Monday, 06 April 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, 18-hour, 1-minute period from Tuesday, 31 March 2020 at 16:25 UTC to Sunday, 05 April 2020 at 10:27 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:
[4390] sars,cov [535] mers,cov [514] covid,19 [377] cov,mers [363] cov,sars [306] receptor,binding [265] cov,spike [242] structure,sars [241] nature,paper [239] crystal,structure Top Word Pairs in Tweet in G1:
[296] sars,cov [198] pre,emergent [190] fort,detrick [171] mers,cov [170] reverse,genetics [166] genetics,approaches [164] 2019,reverse [163] approaches,generated [163] generated,pre [163] emergent,batcovs Top Word Pairs in Tweet in G2:
[644] sars,cov [76] cov,sars [75] mers,cov [66] covid,19 [39] receptor,binding [39] highly,conserved [38] cryptic,epitope [37] conserved,cryptic [37] binding,domains [36] epitope,receptor Top Word Pairs in Tweet in G3:
[331] sars,cov [231] cov,spike [229] crystal,structure [229] structure,sars [226] receptor,binding [223] paper,nature [223] nature,determined [223] determined,crystal [223] spike,receptor [223] binding,domain Top Word Pairs in Tweet in G4:
[215] dünya,sağlık [215] sağlık,örgütü [215] örgütü,dsö [215] dsö,dün [215] dün,bir [215] bir,basın [215] basın,açıklaması [215] açıklaması,yaptı [215] yaptı,dikkat [215] dikkat,ettiniz Top Word Pairs in Tweet in G5:
[188] disease,worse [187] anti,spike [186] cautionary,tale [186] tale,anti [186] spike,antibody [186] antibody,make [186] make,covid [186] covid,disease [186] worse,study [186] study,authors Top Word Pairs in Tweet in G6:
[196] sars,cov [80] bats,host [80] host,numerous [80] numerous,rna [80] rna,viruses [80] viruses,sars [80] cov,without [80] without,disease [80] disease,naturally [80] naturally,decreased Top Word Pairs in Tweet in G7:
[136] sars,cov [54] plausible,mechanism [50] covid,19 [48] mechanism,apparently [48] apparently,exists [48] exists,tendency [48] tendency,covid [48] 19,more [48] more,severe [48] severe,patients Top Word Pairs in Tweet in G8:
[132] well,anyone [132] anyone,remember [132] remember,built [132] built,chimeric [132] chimeric,virus [132] virus,encoding [132] encoding,novel [132] novel,zoonotic [131] larryschweikart,well [131] zoonotic,co Top Word Pairs in Tweet in G9:
[88] #urgente,vacuna [88] vacuna,consigue [88] consigue,neutralizar [88] neutralizar,coronavirus [88] coronavirus,ratones [88] ratones,vacuna [88] vacuna,conseguido [88] conseguido,generar [88] generar,anticuerpos [87] larazon_es,#urgente Top Word Pairs in Tweet in G10:
[94] covid,19 [91] 19,primer [91] primer,coronavirus [91] coronavirus,conocemos [91] conocemos,conocíamos [91] conocíamos,seis [91] hcov,229e [84] 229e,hcov [70] seis,coronavirus [70] coronavirus,hcov Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: