The graph represents a network of 3,521 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, 24 June 2022 at 09:32 UTC.
The requested start date was Friday, 24 June 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, 12-hour, 19-minute period from Friday, 10 June 2022 at 00:04 UTC to Thursday, 23 June 2022 at 12:24 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 : 3521
Unique Edges : 1178
Edges With Duplicates : 5410
Total Edges : 6588
Number of Edge Types : 5
Replies to : 219
Tweet : 190
Mentions : 604
Retweet : 2620
MentionsInRetweet : 2955
Self-Loops : 208
Reciprocated Vertex Pair Ratio : 0.00272182906913446
Reciprocated Edge Ratio : 0.00542888165038002
Connected Components : 267
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 2562
Maximum Edges in a Connected Component : 5415
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.436298
Graph Density : 0.000297242518912499
Modularity : 0.53117
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,521 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, 24 June 2022 at 09:32 UTC.
The requested start date was Friday, 24 June 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, 12-hour, 19-minute period from Friday, 10 June 2022 at 00:04 UTC to Thursday, 23 June 2022 at 12:24 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:
[2958] sars,cov [879] 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 [879] cov,と呼べるものではない [879] と呼べるものではない,sars [879] sars,cov2と命名するのもおかしかった [879] 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 [879] 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 [879] 今や多くの人が感染し細胞性免疫を獲得した,しかも [878] 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 [878] しかも,オミクロン変異体 Top Word Pairs in Tweet in G1:
[878] 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 [878] sars,cov [878] cov,と呼べるものではない [878] と呼べるものではない,sars [878] sars,cov2と命名するのもおかしかった [878] 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 [878] 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 [878] 今や多くの人が感染し細胞性免疫を獲得した,しかも [877] 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 [877] しかも,オミクロン変異体 Top Word Pairs in Tweet in G2:
[578] sars,cov [537] hmmm,2004 [537] 2004,researchers [537] researchers,beijing [537] beijing,incorporated [537] incorporated,humanized [537] humanized,sars [537] cov,spike [537] spike,glycoprotein [537] glycoprotein,hiv Top Word Pairs in Tweet in G3:
[177] gran,diferencia [176] creo,momento [176] momento,empezar [176] empezar,aceptar [176] aceptar,algo [176] algo,costado [176] costado,costando [176] costando,aceptar [176] aceptar,gran [176] diferencia,sars Top Word Pairs in Tweet in G4:
[304] sars,cov [151] dsö,raporu [151] raporu,açıklandı [151] açıklandı,sars [151] cov,yok [151] yok,uydurulmuş [151] uydurulmuş,varsa [151] varsa,sars [151] cov,için [151] için,etoburlar Top Word Pairs in Tweet in G5:
[127] sars,cov [126] gen,cáncer [126] cáncer,farmacéutica [126] farmacéutica,moderna [126] moderna,patentado [126] patentado,proteína [126] proteína,spike [126] spike,sars [124] cov,vacuna [123] aso_liberum,gen Top Word Pairs in Tweet in G6:
[124] sars,cov [30] décrite,comme [30] comme,fantasme [30] fantasme,complotistes [30] complotistes,thèse [30] thèse,origine [30] origine,artificielle [30] artificielle,sars [30] cov,aujourd [30] aujourd,hui Top Word Pairs in Tweet in G7:
[107] sars,cov [105] 2004,chercheurs [105] chercheurs,pékin [105] pékin,avons [105] avons,incorporé [105] incorporé,glycoprotéine [105] glycoprotéine,humanisée [105] humanisée,sars [105] cov,spike [105] spike,particules Top Word Pairs in Tweet in G8:
[130] sars,cov [19] covid,19 [11] 19,sars [8] servicio,sanitización [8] sanitización,desinfección [8] desinfección,contra [8] contra,covid [8] cov,dirigido [8] dirigido,escuelas [8] escuelas,colegios Top Word Pairs in Tweet in G9:
[57] sars,cov [47] 17,jahre [46] marcbrup,sars [46] cov,mehr [46] mehr,17 [46] jahre,genug [46] genug,antikörper [46] antikörper,boostern [46] boostern,keine [46] keine,neuen Top Word Pairs in Tweet in G10:
[30] 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 Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: