The graph represents a network of 1,383 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, 16 September 2022 at 09:31 UTC.
The requested start date was Friday, 16 September 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, 18-minute period from Friday, 02 September 2022 at 00:07 UTC to Thursday, 15 September 2022 at 12:25 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 : 1383
Unique Edges : 836
Edges With Duplicates : 1641
Total Edges : 2477
Number of Edge Types : 5
Replies to : 232
Mentions : 783
Retweet : 572
MentionsInRetweet : 786
Tweet : 104
Self-Loops : 109
Reciprocated Vertex Pair Ratio : 0.00929614873837981
Reciprocated Edge Ratio : 0.0184210526315789
Connected Components : 181
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 429
Maximum Edges in a Connected Component : 978
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.353935
Graph Density : 0.000795267738394585
Modularity : 0.590374
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,383 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, 16 September 2022 at 09:31 UTC.
The requested start date was Friday, 16 September 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, 18-minute period from Friday, 02 September 2022 at 00:07 UTC to Thursday, 15 September 2022 at 12:25 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:
[598] sars,cov [247] attendons,impatience [247] impatience,résultats [247] résultats,l'essai [247] l'essai,clinique [247] clinique,pfizer [247] pfizer,femmes [247] femmes,enceintes [247] enceintes,terminé [247] terminé,juillet Top Word Pairs in Tweet in G1:
[233] attendons,impatience [233] impatience,résultats [233] résultats,l'essai [233] l'essai,clinique [233] clinique,pfizer [233] pfizer,femmes [233] femmes,enceintes [233] enceintes,terminé [233] terminé,juillet [232] chriscottonstat,attendons Top Word Pairs in Tweet in G2:
[107] plainte,conjointe [107] conjointe,d'avocats [107] d'avocats,internationaux [107] internationaux,cour [107] cour,pénale [107] pénale,internationale [105] internationale,génocide [81] génocide,crime [68] crime,contre [57] contre,humanité Top Word Pairs in Tweet in G3:
[86] sars,cov [18] cov,samples [18] samples,viruses [10] release,sars [9] wiv,used [9] used,production [9] production,sars [9] viruses,served [9] served,camouflage [9] camouflage,lab Top Word Pairs in Tweet in G4:
[118] 22,000 [59] average,humans [59] humans,take [59] take,22 [59] 000,breath [59] breath,day [59] day,means [59] means,sars [59] sars,cov [59] cov,22 Top Word Pairs in Tweet in G5:
[6] sars,cov [3] cyclowarrior,mcfunny [3] mcfunny,steveskojec [3] steveskojec,many [3] many,viral [3] viral,diseases [3] diseases,sars [3] cov,middle [3] middle,east [3] east,respiratory Top Word Pairs in Tweet in G6:
[2] raven4212,medwoman1 [2] medwoman1,kittygrumble [2] kittygrumble,bentdepraved [2] bentdepraved,amyrali16 [2] amyrali16,felix_cat7 [2] felix_cat7,willsworldview [2] willsworldview,rossgilroy [2] rossgilroy,stilldizzy2 [2] stilldizzy2,haircutspock [2] haircutspock,simple_shaman Top Word Pairs in Tweet in G7:
[49] sars,cov [7] ãƒ,ペã [7] ペã,ム[6] ç,æ [5] æ,ç [5] ç,ç [5] ÿæÿ,ç [5] œã,œã [4] mers,covã [4] covã,sars Top Word Pairs in Tweet in G8:
[33] sars,cov [29] adapted,sars [29] cov,urbani [29] urbani,strain [29] strain,serial [29] serial,passage [29] passage,respiratory [29] respiratory,tract [29] tract,young [29] young,balb Top Word Pairs in Tweet in G9:
[26] gabinjean3,perso [26] perso,j'aime [26] j'aime,bien [26] bien,cet [26] cet,article [26] article,synthã [26] synthã,linda [26] linda,saif [26] saif,dernier [26] dernier,auteur Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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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: