The graph represents a network of 1,817 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, 16 October 2022 at 09:52 UTC.
The requested start date was Sunday, 16 October 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 12-day, 9-hour, 10-minute period from Sunday, 02 October 2022 at 01:40 UTC to Friday, 14 October 2022 at 10:50 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 : 1817
Unique Edges : 1152
Edges With Duplicates : 1426
Total Edges : 2578
Number of Edge Types : 5
MentionsInRetweet : 669
Replies to : 346
Retweet : 550
Mentions : 892
Tweet : 121
Self-Loops : 135
Reciprocated Vertex Pair Ratio : 0.00465116279069767
Reciprocated Edge Ratio : 0.00925925925925926
Connected Components : 232
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 405
Maximum Edges in a Connected Component : 553
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.602705
Graph Density : 0.000523688415090954
Modularity : 0.641479
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 1,817 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, 16 October 2022 at 09:52 UTC.
The requested start date was Sunday, 16 October 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 12-day, 9-hour, 10-minute period from Sunday, 02 October 2022 at 01:40 UTC to Friday, 14 October 2022 at 10:50 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:
[755] sars,cov [149] long,covid [148] covid,reported [148] dengue,virus [148] symptoms,long [148] involving,similar [148] chronic,syndromes [148] unexplained,chronic [148] syndromes,involving [148] reported,dengue Top Word Pairs in Tweet in G1:
[123] covid19,sars [123] sars,cov [115] conjointe,d'avocats [115] plainte,conjointe [115] d'avocats,internationaux [115] internationaux,cour [104] crime,contre [98] concernant,produits [98] partir,d'armes [98] biologiques,concernant Top Word Pairs in Tweet in G2:
[144] reported,dengue [144] covid,reported [144] unexplained,chronic [144] involving,similar [144] dengue,virus [144] similar,symptoms [144] symptoms,long [144] syndromes,involving [144] chronic,syndromes [144] long,covid Top Word Pairs in Tweet in G3:
[7] sars,cov [2] springbok1066,mrdannyteal [2] shocktraumarn,5shezz4 [2] ourworldindata,govlarryhogan [2] troydee,0800_ksmy_ass [2] mrdannyteal,shocktraumarn [2] arkmedic,astrazeneca [2] erictopol,timtruth123 [2] artemisapphire,lyquidpirate [2] gbates76034889,vikilovesfacs Top Word Pairs in Tweet in G4:
[122] research,create [122] funding,utilized [122] function,research [122] usaid,provided [122] gain,function [122] utilized,gain [122] wiv,2009 [122] 2009,2019 [122] provided,wiv [122] 2019,funding Top Word Pairs in Tweet in G5:
[56] sars,cov [49] cov,infection [48] enough,evade [48] infection,better [48] better,sars [48] level,xbb [48] xbb,serologically [48] antibodies,sars [48] evade,neutralizing [48] serologically,distinct Top Word Pairs in Tweet in G6:
[18] sars,cov [7] cov,sars [2] buchinswantje,alexa122021 [2] keksy19,ernoemarianne [2] cov,hcov [2] alexa122021,whyaushh [2] sabinebr3,karl_lauterbach [2] marina72886813,buchinswantje [2] bb28896561,sabinebr3 [2] gehã,familie Top Word Pairs in Tweet in G7:
[87] sars,cov [16] ãƒ,ム[7] ãƒ,ªã [6] nã,ム[6] inhibits,sars [5] mers,cov [5] cov,sars [5] covid,19 [5] ç,ç [5] person,centered Top Word Pairs in Tweet in G8:
[35] sars,cov [29] cov,pandemics [29] 19,originated [29] pandemics,last [29] conclude,sars [29] yrs,covid [29] last,100 [29] 100,yrs [29] covid,19 [29] zoonotic,spillover Top Word Pairs in Tweet in G9:
[22] mejores,médicos [22] porqué,inquisición [22] inquisición,pajarraco [22] somete,mejores [22] pajarraco,azul [22] tienen,porqué [22] médicos,científicos [22] azul,somete [21] antiglobalistah,tienen [21] científicos,plan Top Word Pairs in Tweet in G10:
[22] sars,cov [21] répète,virus [21] l'isolation,virus [21] virus,n'existent [21] réponse,santé [21] canada,l'isolation [21] cov,répète [21] virus,sars [21] santé,canada [20] qc_respeck,réponse Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: