The graph represents a network of 4,010 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 Sunday, 16 May 2021 at 09:38 UTC.
The requested start date was Sunday, 16 May 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 12-hour, 12-minute period from Sunday, 02 May 2021 at 00:02 UTC to Friday, 14 May 2021 at 12:15 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 : 4010
Unique Edges : 2330
Edges With Duplicates : 4939
Total Edges : 7269
Number of Edge Types : 5
Retweet : 2083
MentionsInRetweet : 2688
Tweet : 565
Replies to : 638
Mentions : 1295
Self-Loops : 605
Reciprocated Vertex Pair Ratio : 0.0118226600985222
Reciprocated Edge Ratio : 0.0233690360272639
Connected Components : 730
Single-Vertex Connected Components : 218
Maximum Vertices in a Connected Component : 1368
Maximum Edges in a Connected Component : 3579
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.429844
Graph Density : 0.000255534772447778
Modularity : 0.559355
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,010 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 Sunday, 16 May 2021 at 09:38 UTC.
The requested start date was Sunday, 16 May 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 12-hour, 12-minute period from Sunday, 02 May 2021 at 00:02 UTC to Friday, 14 May 2021 at 12:15 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:
[3553] sars,cov [773] cov,causing [768] causing,myocarditis [392] vaccines,causing [387] causing,paralysis [384] myocarditis,vaccines [384] myocarditis,sars [384] paralysis,vaccines [381] konstantinospo7,sars [381] vaccines,caus Top Word Pairs in Tweet in G1:
[699] sars,cov [660] cov,causing [658] causing,myocarditis [332] vaccines,causing [330] causing,paralysis [329] myocarditis,vaccines [329] myocarditis,sars [329] paralysis,vaccines [328] konstantinospo7,sars [328] vaccines,caus Top Word Pairs in Tweet in G2:
[310] sars,cov [222] use,sars [222] cov,biological [222] biological,weapon [220] navroopsingh_,use [55] pla,book [45] first,time [45] time,pla [45] book,written [45] written,scientists Top Word Pairs in Tweet in G3:
[419] sars,cov [48] bat,virus [48] virus,sars [45] apparently,wiv [45] wiv,kept [45] kept,unpublished [45] unpublished,years [45] years,one [45] one,closest [45] closest,bat Top Word Pairs in Tweet in G4:
[400] sars,cov [68] αναλυτικοί,πίνακες [65] νέες,μολύνσεις [65] μολύνσεις,sars [62] cov,αναλυτικοί [21] mers,cov [20] covid,19 [19] cov,sars [15] αν,μακεδονία [15] μακεδονία,θράκη Top Word Pairs in Tweet in G5:
[156] #covid19,detective [156] detective,zionaemanuel [156] zionaemanuel,correctly [156] correctly,cites [156] cites,2014 [156] 2014,millet [156] millet,whittaker [156] whittaker,motivated [156] motivated,furin [156] furin,cleavage Top Word Pairs in Tweet in G6:
[58] sars,cov [17] severe,disease [16] cells,natural [16] natural,infection [16] infection,related [16] related,coronavirus [16] coronavirus,caused [16] caused,severe [16] disease,last [16] last,long Top Word Pairs in Tweet in G7:
[11] sars,cov [4] mcfunny,doritmi [4] swedishchf,lightcontrol2 [4] just4thecause,surina1975 [4] barryjohnreid21,chamberdisciple [4] mlander87321751,katlarue7 [4] katlarue7,provaxtexan [4] provaxtexan,kstateturk [4] kstateturk,stopcensorship7 [4] stopcensorship7,golfergirl2018 Top Word Pairs in Tweet in G8:
[38] doctors,around [38] around,world [38] world,unite [38] unite,call [38] call,covid [38] covid,#vaccines [38] #vaccines,unnecessary [38] unnecessary,ineffective [38] ineffective,unsafe [38] unsafe,multiple Top Word Pairs in Tweet in G9:
[43] institut,pasteur [43] pasteur,aux [43] aux,dires [43] dires,professeur [43] professeur,fourtillan [43] fourtillan,base [42] karim__fr,faudra [41] faudra,également [41] également,occuper [41] occuper,institut Top Word Pairs in Tweet in G10:
[31] anti,spike [31] disease,worse [30] cautionary,tale [30] tale,anti [30] spike,antibody [30] antibody,make [30] make,covid [30] covid,disease [30] worse,study [30] study,authors 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: