The graph represents a network of 3,823 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 Tuesday, 02 March 2021 at 11:13 UTC.
The requested start date was Tuesday, 02 March 2021 at 01:01 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, 42-minute period from Tuesday, 16 February 2021 at 01:14 UTC to Monday, 01 March 2021 at 13:57 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 : 3823
Unique Edges : 2359
Edges With Duplicates : 3908
Total Edges : 6267
Number of Edge Types : 5
Tweet : 631
Retweet : 1658
MentionsInRetweet : 2224
Replies to : 699
Mentions : 1055
Self-Loops : 671
Reciprocated Vertex Pair Ratio : 0.0125374761515399
Reciprocated Edge Ratio : 0.024764468371467
Connected Components : 789
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 646
Maximum Edges in a Connected Component : 1452
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.598922
Graph Density : 0.000254251683570468
Modularity : 0.607512
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 3,823 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 Tuesday, 02 March 2021 at 11:13 UTC.
The requested start date was Tuesday, 02 March 2021 at 01:01 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, 42-minute period from Tuesday, 16 February 2021 at 01:14 UTC to Monday, 01 March 2021 at 13:57 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:
[2656] sars,cov [262] cov,sars [262] covid,19 [250] unos,meses [250] meses,sars [250] cov,dejará [250] dejará,problema [250] problema,mundo [250] mundo,trasladarse [250] trasladarse,muchas Top Word Pairs in Tweet in G1:
[440] sars,cov [106] αναλυτικοί,πίνακες [97] νέες,μολύνσεις [97] μολύνσεις,sars [97] cov,αναλυτικοί [29] covid,19 [23] cov,sars [23] δ,μακεδονία [21] mers,cov [20] αν,μακεδονία Top Word Pairs in Tweet in G2:
[250] unos,meses [250] meses,sars [250] sars,cov [250] cov,dejará [250] dejará,problema [250] problema,mundo [250] mundo,trasladarse [250] trasladarse,muchas [250] muchas,cosas [250] cosas,problema Top Word Pairs in Tweet in G3:
[134] sars,cov [134] cov,sars [134] sars,やsars [134] やsars,cov [134] cov,2が精巣の細胞に感染することは既に知られ [134] 2が精巣の細胞に感染することは既に知られ,昨年来 [134] 昨年来,精液を介した感染や精巣へのダメージが危惧されてきました [134] 精液を介した感染や精巣へのダメージが危惧されてきました,今回 [133] koichi_kawakami,sars [133] 今回,イタリアの研究者が43人 Top Word Pairs in Tweet in G4:
[131] sars,cov [15] cov,sars [15] #baric,virologists [15] virologists,engaged [15] engaged,genetic [15] genetic,studies [15] studies,coronavirus [15] coronavirus,replication [15] replication,express [15] express,profound Top Word Pairs in Tweet in G5:
[114] covid,19 [114] 19,insan [114] insan,yapımı [114] yapımı,sars [114] sars,cov [114] cov,mutasyonu [114] mutasyonu,ise [114] ise,iki [114] iki,yıldır [114] yıldır,neden Top Word Pairs in Tweet in G6:
[56] pcr,test [49] sars,cov [45] lancet,unserer [45] unserer,sicht [45] sicht,aktuelle [44] aktuelle,pcr [40] test,geeignete [37] geeignete,goldstandard [27] goldstandard,die [26] die,bewertung Top Word Pairs in Tweet in G7:
[56] sars,cov [18] brianosheaspi,naomirwolf [16] naomirwolf,take [16] take,heat [16] heat,peterhotez [16] peterhotez,rabid [16] rabid,followers [16] followers,report [16] report,scientists [16] kevin_mckernan,brianosheaspi Top Word Pairs in Tweet in G8:
[65] chinese,wuhan [64] wuhan,lab [64] lab,granted [64] granted,patent [64] patent,#batcages [64] #batcages,conduct [64] conduct,secret [64] secret,virus [64] virus,experiments [63] controversial,chinese Top Word Pairs in Tweet in G9:
[49] sars,cov [21] many,viral [21] viral,diseases [21] diseases,sars [21] cov,middle [21] middle,east [21] east,respiratory [21] respiratory,syndrome [21] syndrome,coronavirus [21] coronavirus,influenza Top Word Pairs in Tweet in G10:
[67] entrevista,reciente [67] reciente,campoy [67] campoy,hecha [67] hecha,enero [67] enero,2021 [67] 2021,contratado [67] contratado,detective [65] osiers59,entrevista [65] detective,recorre [2] detective,recorrer Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: