The graph represents a network of 1,500 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, 18 September 2022 at 09:52 UTC.
The requested start date was Sunday, 18 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 12-day, 9-hour, 41-minute period from Sunday, 04 September 2022 at 00:41 UTC to Friday, 16 September 2022 at 10:23 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 : 1500
Unique Edges : 949
Edges With Duplicates : 1840
Total Edges : 2789
Number of Edge Types : 5
Retweet : 658
MentionsInRetweet : 951
Tweet : 112
Replies to : 257
Mentions : 811
Self-Loops : 117
Reciprocated Vertex Pair Ratio : 0.00997652582159624
Reciprocated Edge Ratio : 0.0197559558396281
Connected Components : 186
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 508
Maximum Edges in a Connected Component : 1178
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.423664
Graph Density : 0.000765399154992217
Modularity : 0.58861
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,500 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, 18 September 2022 at 09:52 UTC.
The requested start date was Sunday, 18 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 12-day, 9-hour, 41-minute period from Sunday, 04 September 2022 at 00:41 UTC to Friday, 16 September 2022 at 10:23 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:
[663] 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:
[236] attendons,impatience [236] impatience,résultats [236] résultats,l'essai [236] l'essai,clinique [236] clinique,pfizer [236] pfizer,femmes [236] femmes,enceintes [236] enceintes,terminé [236] terminé,juillet [235] chriscottonstat,attendons Top Word Pairs in Tweet in G2:
[165] plainte,conjointe [165] conjointe,d'avocats [165] d'avocats,internationaux [165] internationaux,cour [165] cour,pénale [165] pénale,internationale [162] internationale,génocide [128] génocide,crime [114] crime,contre [83] sars,cov Top Word Pairs in Tweet in G3:
[80] sars,cov [18] cov,samples [18] samples,viruses [11] release,sars [9] clear,hotez [9] hotez,dismissed [9] dismissed,possible [9] possible,lab [9] lab,release [9] cov,preposterous 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:
[56] 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:
[35] sars,cov [31] adapted,sars [31] cov,urbani [31] urbani,strain [31] strain,serial [31] serial,passage [31] passage,respiratory [31] respiratory,tract [31] tract,young [31] young,balb Top Word Pairs in Tweet in G9:
[36] 基礎疾患がなし,が15人 [36] が15人,15人の死亡に至る経緯 [36] 15人の死亡に至る経緯,中枢神経系の異常 [36] 中枢神経系の異常,5人 [36] 5人,循環器系の異常 [36] 循環器系の異常,4人 [36] 4人,呼吸器系の異常 [36] 呼吸器系の異常,はありませんでした [36] 重症急性呼吸器症候群コロナウイルス,sars [35] はありませんでした,新型コロナって Top Word Pairs in Tweet in G10:
[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:
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: