The graph represents a network of 7,917 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, 17 September 2021 at 09:23 UTC.
The requested start date was Friday, 17 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, 11-minute period from Friday, 03 September 2021 at 00:04 UTC to Thursday, 16 September 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 : 7917
Unique Edges : 1466
Edges With Duplicates : 13126
Total Edges : 14592
Number of Edge Types : 5
Retweet : 6385
MentionsInRetweet : 6615
Replies to : 455
Tweet : 291
Mentions : 846
Self-Loops : 313
Reciprocated Vertex Pair Ratio : 0.00260824204486176
Reciprocated Edge Ratio : 0.00520291363163371
Connected Components : 524
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 5724
Maximum Edges in a Connected Component : 11481
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.007058
Graph Density : 0.00012267242320735
Modularity : 0.379842
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,917 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, 17 September 2021 at 09:23 UTC.
The requested start date was Friday, 17 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, 11-minute period from Friday, 03 September 2021 at 00:04 UTC to Thursday, 16 September 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:
[7003] sars,cov [5850] covid,19 [5750] 19,sars [5713] covid,vaccine [5710] berbuih,mulut [5710] mulut,bagitau [5710] bagitau,coronavirus [5710] coronavirus,dah [5710] dah,lama [5710] lama,covid Top Word Pairs in Tweet in G1:
[5699] covid,19 [5699] sars,cov [5698] berbuih,mulut [5698] mulut,bagitau [5698] bagitau,coronavirus [5698] coronavirus,dah [5698] dah,lama [5698] lama,covid [5698] covid,vaccine [5698] vaccine,boleh Top Word Pairs in Tweet in G2:
[122] sars,cov [48] missed,long [48] long,time [48] time,sars [48] cov,found [48] found,farmed [48] farmed,civets [48] civets,outside [48] outside,wuhan [48] wuhan,back Top Word Pairs in Tweet in G3:
[209] sars,cov [60] î,î [17] cov,sars [12] covid,19 [11] ø,ø [10] mers,cov [10] cov,coronavirus [8] nih,funded [8] funded,wuhan [8] wuhan,study Top Word Pairs in Tweet in G4:
[52] sars,cov [41] wiv1,cov [37] ðÿž,âž [37] âž,wiv1 [37] cov,similar [37] similar,sars [37] sars,ready [37] ready,human [37] human,emergency [37] emergency,baric Top Word Pairs in Tweet in G5:
[3] sars,cov Top Word Pairs in Tweet in G6:
[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 [2] system,cell Top Word Pairs in Tweet in G7:
[37] furin,cleavage [37] cleavage,site [21] data,suggested [20] 知识点,这篇09年的文章发现在sars1的s蛋白里人工插入福林酶切位点 [20] 这篇09年的文章发现在sars1的s蛋白里人工插入福林酶切位点,furin [20] site,可导致sars1感染力增强 [20] 可导致sars1感染力增强,和我报告写的一致 [20] 和我报告写的一致,所以sars2有这个位点是实验室来源证据 [20] 所以sars2有这个位点是实验室来源证据,data [19] drlimengyan1,知识点 Top Word Pairs in Tweet in G8:
[35] tidiane84101146,d'ailleurs [35] d'ailleurs,fait [35] fait,d'imposer [35] d'imposer,vax [35] vax,même [35] même,aux [35] aux,personnes [35] personnes,ont [35] ont,ac [35] ac,sars Top Word Pairs in Tweet in G9:
[19] sars,cov [7] covid,19 [4] cov,mers [4] type,vaccines [3] cov,sars [3] around,2003 [3] cov,covid [3] mers,cov [2] 19,sars [2] cov,around Top Word Pairs in Tweet in G10:
[28] anti,spike [28] disease,worse [27] cautionary,tale [27] tale,anti [27] spike,antibody [27] antibody,make [27] make,covid [27] covid,disease [27] worse,study [27] study,authors Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
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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 G5:
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Top Tweeters in G7:
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Top Tweeters in G10: