The graph represents a network of 7,785 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 Thursday, 16 September 2021 at 11:05 UTC.
The requested start date was Thursday, 16 September 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 13-day, 12-hour, 5-minute period from Thursday, 02 September 2021 at 00:02 UTC to Wednesday, 15 September 2021 at 12:08 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 : 7785
Unique Edges : 1494
Edges With Duplicates : 12697
Total Edges : 14191
Number of Edge Types : 5
Retweet : 6177
MentionsInRetweet : 6374
Tweet : 346
Replies to : 438
Mentions : 856
Self-Loops : 367
Reciprocated Vertex Pair Ratio : 0.00254965110037574
Reciprocated Edge Ratio : 0.00508633382411993
Connected Components : 572
Single-Vertex Connected Components : 189
Maximum Vertices in a Connected Component : 5579
Maximum Edges in a Connected Component : 11191
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.005903
Graph Density : 0.000123287002107645
Modularity : 0.38092
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,785 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 Thursday, 16 September 2021 at 11:05 UTC.
The requested start date was Thursday, 16 September 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 13-day, 12-hour, 5-minute period from Thursday, 02 September 2021 at 00:02 UTC to Wednesday, 15 September 2021 at 12:08 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:
[6893] sars,cov [5753] covid,19 [5607] 19,sars [5567] covid,vaccine [5565] berbuih,mulut [5565] mulut,bagitau [5565] bagitau,coronavirus [5565] coronavirus,dah [5565] dah,lama [5565] lama,covid Top Word Pairs in Tweet in G1:
[5554] covid,19 [5554] sars,cov [5553] berbuih,mulut [5553] mulut,bagitau [5553] bagitau,coronavirus [5553] coronavirus,dah [5553] dah,lama [5553] lama,covid [5553] covid,vaccine [5553] vaccine,boleh Top Word Pairs in Tweet in G2:
[277] sars,cov [60] î,î [41] covid,19 [33] mers,cov [26] respiratory,syndrome [19] virus,corona [19] cov,dan [17] cov,sars [16] virus,sars [16] acute,respiratory Top Word Pairs in Tweet in G3:
[45] sars,cov [42] wiv1,cov [38] ðÿž,âž [38] âž,wiv1 [38] cov,similar [38] similar,sars [38] sars,ready [38] ready,human [38] human,emergency [38] emergency,baric Top Word Pairs in Tweet in G4:
[65] sars,cov [13] snupsnus,princetongb [13] princetongb,r_h_ebright [13] r_h_ebright,easy [13] easy,clue [13] clue,acknowledgments [13] acknowledgments,section [13] section,paper [13] paper,attached [13] attached,fauci's Top Word Pairs in Tweet in G5:
[4] sars,cov [2] hopeseekr,wuhan [2] wuhan,iv [2] iv,paper [2] paper,study [2] study,combining [2] combining,hiv [2] hiv,based [2] based,pseudovirus [2] pseudovirus,system Top Word Pairs in Tweet in G6:
[3] sars,cov Top Word Pairs in Tweet in G7:
[30] tidiane84101146,d'ailleurs [30] d'ailleurs,fait [30] fait,d'imposer [30] d'imposer,vax [30] vax,même [30] même,aux [30] aux,personnes [30] personnes,ont [30] ont,ac [30] ac,sars Top Word Pairs in Tweet in G8:
[22] sars,cov [12] geïsoleerde,sars [12] cov,'vaccins' [12] 'vaccins',binnen [12] binnen,die [12] die,enkele [12] enkele,maanden [12] maanden,licht [12] licht,zagen [12] zagen,gigantische Top Word Pairs in Tweet in G9:
[43] sars,cov [21] æ,ÿæÿ [21] ãƒ,ム[20] research,preprint [20] preprint,æœ [20] æœ,æ [20] æ,ç [20] ç,ç [20] ç,未æÿ [20] 未æÿ,èª Top Word Pairs in Tweet in G10:
[30] sars,cov [30] cov,well [30] well,known [30] known,covid [30] covid,19 [30] 19,deadly [30] deadly,virus [30] virus,took [30] took,over [30] over,half Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: