The graph represents a network of 2,427 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, 01 July 2022 at 09:32 UTC.
The requested start date was Friday, 01 July 2022 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, 9-hour, 0-minute period from Friday, 17 June 2022 at 01:44 UTC to Thursday, 30 June 2022 at 10:44 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 : 2427
Unique Edges : 1200
Edges With Duplicates : 2968
Total Edges : 4168
Number of Edge Types : 5
MentionsInRetweet : 1706
Mentions : 681
Retweet : 1385
Replies to : 233
Tweet : 163
Self-Loops : 172
Reciprocated Vertex Pair Ratio : 0.007223113964687
Reciprocated Edge Ratio : 0.0143426294820717
Connected Components : 271
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 901
Maximum Edges in a Connected Component : 1802
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.117704
Graph Density : 0.000426297856180351
Modularity : 0.557665
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,427 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, 01 July 2022 at 09:32 UTC.
The requested start date was Friday, 01 July 2022 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, 9-hour, 0-minute period from Friday, 17 June 2022 at 01:44 UTC to Thursday, 30 June 2022 at 10:44 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:
[1844] sars,cov [895] オミクロン変異体はもはや重症急性呼吸器症候群コロナウイルス,sars [895] cov,と呼べるものではない [895] と呼べるものではない,sars [895] sars,cov2と命名するのもおかしかった [895] cov2と命名するのもおかしかった,若い人にはもともと大きな問題ではなく [895] 若い人にはもともと大きな問題ではなく,今や多くの人が感染し細胞性免疫を獲得した [895] 今や多くの人が感染し細胞性免疫を獲得した,しかも [894] takavet1,オミクロン変異体はもはや重症急性呼吸器症候群コロナウイルス [894] しかも,オミクロン変異体 Top Word Pairs in Tweet in G1:
[894] オミクロン変異体はもはや重症急性呼吸器症候群コロナウイルス,sars [894] sars,cov [894] cov,と呼べるものではない [894] と呼べるものではない,sars [894] sars,cov2と命名するのもおかしかった [894] cov2と命名するのもおかしかった,若い人にはもともと大きな問題ではなく [894] 若い人にはもともと大きな問題ではなく,今や多くの人が感染し細胞性免疫を獲得した [894] 今や多くの人が感染し細胞性免疫を獲得した,しかも [893] takavet1,オミクロン変異体はもはや重症急性呼吸器症候群コロナウイルス [893] しかも,オミクロン変異体 Top Word Pairs in Tweet in G2:
[152] sars,cov [152] cov,virus [147] dat,1500 [147] 1500,monsters [147] monsters,zogenaamde [147] zogenaamde,covid19 [147] covid19,positieve [147] positieve,patiënten [147] patiënten,geen [147] geen,enkel Top Word Pairs in Tweet in G3:
[148] sars,cov [33] cov,spike [28] hmmm,2004 [28] 2004,researchers [28] researchers,beijing [28] beijing,incorporated [28] incorporated,humanized [28] humanized,sars [28] spike,glycoprotein [28] glycoprotein,hiv Top Word Pairs in Tweet in G4:
[2] jaxie_b8,crabb_vicki [2] crabb_vicki,provaxtexan [2] provaxtexan,tinfoilawards [2] tinfoilawards,redsquirrelftw [2] redsquirrelftw,takethatct [2] takethatct,monstercoyliar [2] monstercoyliar,cuchulainncu [2] cuchulainncu,chvntelv [2] sars,cov2 [2] sars,cov Top Word Pairs in Tweet in G5:
[90] sars,cov [9] covid,19 [6] mers,cov [5] cov,sars [5] cov,infection [4] cov,covid [4] virus,sars [4] mg,ml [3] teste,sars [3] cov,related Top Word Pairs in Tweet in G6:
[4] sars,cov Top Word Pairs in Tweet in G7:
[11] sars,cov [2] miss_salmonella,dice [2] dice,oms [2] oms,inventar [2] inventar,enfermedades [2] enfermedades,refiere [2] refiere,origen [2] s'ha,escapat [2] carlosvecino4,pcomentator [2] pcomentator,lareinadesaban Top Word Pairs in Tweet in G8:
[21] sars,cov [20] non,sequitur [14] fitterhappieraj,tweet [14] tweet,belongs [14] belongs,textbook [14] textbook,perfect [14] perfect,illustration [14] illustration,non [14] sequitur,haven't [14] haven't,laid Top Word Pairs in Tweet in G9:
[68] sars,cov [30] cov,sars [29] outdone,seems [29] seems,scientists [29] scientists,making [29] making,sars [29] cov,chimera [29] chimera,please [29] please,find [28] ayjchan,outdone Top Word Pairs in Tweet in G10:
[34] esquema,ministeriosalud [34] ministeriosalud,pandemia [34] pandemia,virus [34] virus,predomina [34] predomina,momentos [34] momentos,virus [34] virus,sincicial [33] vasilistico,esquema Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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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 G10: