The graph represents a network of 8,596 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, 26 September 2021 at 09:41 UTC.
The requested start date was Sunday, 26 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 12-day, 8-hour, 49-minute period from Sunday, 12 September 2021 at 03:39 UTC to Friday, 24 September 2021 at 12:28 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 : 8596
Unique Edges : 2238
Edges With Duplicates : 13493
Total Edges : 15731
Number of Edge Types : 5
Replies to : 644
Retweet : 6458
MentionsInRetweet : 6952
Mentions : 1263
Tweet : 414
Self-Loops : 441
Reciprocated Vertex Pair Ratio : 0.00272738052887466
Reciprocated Edge Ratio : 0.0054399243140965
Connected Components : 716
Single-Vertex Connected Components : 218
Maximum Vertices in a Connected Component : 5166
Maximum Edges in a Connected Component : 10353
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.041576
Graph Density : 0.000114451815596144
Modularity : 0.436255
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,596 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, 26 September 2021 at 09:41 UTC.
The requested start date was Sunday, 26 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 12-day, 8-hour, 49-minute period from Sunday, 12 September 2021 at 03:39 UTC to Friday, 24 September 2021 at 12:28 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:
[7175] sars,cov [5380] covid,19 [5176] 19,sars [5162] covid,vaccine [5156] berbuih,mulut [5156] mulut,bagitau [5156] bagitau,coronavirus [5156] coronavirus,dah [5156] dah,lama [5156] lama,covid Top Word Pairs in Tweet in G1:
[5157] sars,cov [5155] covid,19 [5154] berbuih,mulut [5154] mulut,bagitau [5154] bagitau,coronavirus [5154] coronavirus,dah [5154] dah,lama [5154] lama,covid [5154] covid,vaccine [5154] vaccine,boleh Top Word Pairs in Tweet in G2:
[299] sars,cov [299] furin,cleavage [299] cleavage,site [173] data,suggested [171] 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 [171] 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 [171] site,可导致sars1感染力增强 [171] 可导致sars1感染力增强,和我报告写的一致 [171] 和我报告写的一致,所以sars2有这个位点是实验室来源证据 [171] 所以sars2有这个位点是实验室来源证据,data Top Word Pairs in Tweet in G3:
[312] sars,cov [49] covid,19 [20] cov,sars [18] δ,μακεδονία [18] αναλυτικοί,πίνακες [18] parecida,sars [17] cepa,virus [16] mers,cov [16] instituto,pasteur [16] virus,parecida Top Word Pairs in Tweet in G4:
[88] sars,cov [88] cov,laboratory [88] laboratory,related [88] related,accident [88] accident,plausible [88] plausible,june [88] june,scientists [88] scientists,told [88] told,cbsnews [88] cbsnews,unit Top Word Pairs in Tweet in G5:
[36] profundicé,estudios [36] estudios,tlr4 [36] tlr4,quién [36] quién,encontré [36] encontré,baric [36] baric,unc [36] unc,tocado [35] martinasisters,profundicé [30] muchos,estudios [30] estudios,cómo Top Word Pairs in Tweet in G6:
[7] 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 G7:
[25] sars,cov [9] covid,19 [5] btysonmd,catturd2 [5] catturd2,anyone [5] anyone,find [5] find,odd [5] odd,fauci [5] fauci,warns [5] warns,variant [5] variant,poof Top Word Pairs in Tweet in G8:
[41] citro,nel [41] nel,2005 [41] 2005,ue [41] ue,aveva [41] aveva,trovato [41] trovato,farmaco [41] farmaco,efficace [41] efficace,sars [41] sars,cov [41] cov,perche Top Word Pairs in Tweet in G9:
[37] 18h,ce [37] ce,pourrait [37] pourrait,être [37] être,avancée [37] avancée,majeure [37] majeure,recherche [37] recherche,origines [37] origines,covid [37] covid,19 [37] 19,chercheurs Top Word Pairs in Tweet in G10:
[36] tidiane84101146,d'ailleurs [36] d'ailleurs,fait [36] fait,d'imposer [36] d'imposer,vax [36] vax,même [36] même,aux [36] aux,personnes [36] personnes,ont [36] ont,ac [36] ac,sars Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
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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: