The graph represents a network of 8,419 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, 20 September 2021 at 09:39 UTC.
The requested start date was Monday, 20 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, 3-minute period from Monday, 06 September 2021 at 00:18 UTC to Sunday, 19 September 2021 at 12:22 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 : 8419
Unique Edges : 1730
Edges With Duplicates : 13931
Total Edges : 15661
Number of Edge Types : 5
Mentions : 1018
Replies to : 478
Tweet : 301
MentionsInRetweet : 7116
Retweet : 6748
Self-Loops : 319
Reciprocated Vertex Pair Ratio : 0.00229108887013144
Reciprocated Edge Ratio : 0.00457170356111646
Connected Components : 531
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 5893
Maximum Edges in a Connected Component : 11821
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 2.029421
Graph Density : 0.000117283280125499
Modularity : 0.394924
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,419 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, 20 September 2021 at 09:39 UTC.
The requested start date was Monday, 20 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, 3-minute period from Monday, 06 September 2021 at 00:18 UTC to Sunday, 19 September 2021 at 12:22 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:
[7258] sars,cov [6006] covid,19 [5899] 19,sars [5884] covid,vaccine [5880] berbuih,mulut [5880] mulut,bagitau [5880] bagitau,coronavirus [5880] coronavirus,dah [5880] dah,lama [5880] lama,covid Top Word Pairs in Tweet in G1:
[5869] covid,19 [5869] sars,cov [5868] berbuih,mulut [5868] mulut,bagitau [5868] bagitau,coronavirus [5868] coronavirus,dah [5868] dah,lama [5868] lama,covid [5868] covid,vaccine [5868] vaccine,boleh Top Word Pairs in Tweet in G2:
[283] furin,cleavage [283] cleavage,site [168] data,suggested [166] 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 [166] 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 [166] site,可导致sars1感染力增强 [166] 可导致sars1感染力增强,和我报告写的一致 [166] 和我报告写的一致,所以sars2有这个位点是实验室来源证据 [166] 所以sars2有这个位点是实验室来源证据,data [163] drlimengyan1,知识点 Top Word Pairs in Tweet in G3:
[153] sars,cov [67] missed,long [67] long,time [67] time,sars [67] cov,found [67] found,farmed [67] farmed,civets [67] civets,outside [67] outside,wuhan [67] wuhan,back Top Word Pairs in Tweet in G4:
[212] sars,cov [46] î,î [19] covid,19 [11] cov,sars [11] ø,ø [10] mers,cov [10] δ,μακεδονία [10] αναλυτικοί,πίνακες [8] nih,funded [8] funded,wuhan Top Word Pairs in Tweet in G5:
[39] sars,cov [36] baric,unc [35] profundicé,estudios [35] estudios,tlr4 [35] tlr4,quién [35] quién,encontré [35] encontré,baric [35] unc,tocado [34] martinasisters,profundicé [17] wiv1,cov 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 G8:
[21] sars,cov [8] 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 G9:
[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 G10:
[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 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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