The graph represents a network of 1,402 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 July 2021 at 09:58 UTC.
The requested start date was Sunday, 04 July 2021 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, 12-hour, 5-minute period from Sunday, 20 June 2021 at 00:05 UTC to Friday, 02 July 2021 at 12:10 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 : 1402
Unique Edges : 769
Edges With Duplicates : 1716
Total Edges : 2485
Number of Edge Types : 5
Retweet : 607
MentionsInRetweet : 773
Tweet : 180
Replies to : 200
Mentions : 725
Self-Loops : 197
Reciprocated Vertex Pair Ratio : 0.00378501135503407
Reciprocated Edge Ratio : 0.00754147812971342
Connected Components : 242
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 196
Maximum Edges in a Connected Component : 590
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.383879
Graph Density : 0.000675083316278061
Modularity : 0.540717
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,402 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 July 2021 at 09:58 UTC.
The requested start date was Sunday, 04 July 2021 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, 12-hour, 5-minute period from Sunday, 20 June 2021 at 00:05 UTC to Friday, 02 July 2021 at 12:10 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-NCOV
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:
[458] sars,cov [154] test,sars [153] invito,leggere [153] leggere,nuove [153] nuove,linee [153] linee,guida [153] guida,oms [153] oms,test [153] cov,eliminati [153] eliminati,test Top Word Pairs in Tweet in G1:
[153] invito,leggere [153] leggere,nuove [153] nuove,linee [153] linee,guida [153] guida,oms [153] oms,test [153] test,sars [153] sars,cov [153] cov,eliminati [153] eliminati,test Top Word Pairs in Tweet in G2:
[103] #covid19,#sarscov2 [83] thanks,#opendata [83] #opendata,sharing [83] sharing,gisaid [83] gisaid,we've [83] we've,updated [83] #sarscov2,sequences [75] nextstrain,thanks [41] covid,19 [41] scholars,portal Top Word Pairs in Tweet in G3:
[64] sars,cov [27] chadox1,ncov [26] ncov,19 [26] #covid19,#covid [26] #corona,#coronavirus [26] #coronavirus,#virus [26] #virus,#novel [26] #novel,#ncov [26] #501yv2,#501yv3 [26] #501yv3,#b1617 Top Word Pairs in Tweet in G4:
[6] theseeker1962,armympvet1 [6] iron_mechanic,fredwibblington [6] chris_f_carson,swedishchf [6] jpesportsminer,jaikanta22 [6] kanchristo,globe_4_life [6] globe_4_life,joeeason1 [6] volumerose,atyhans [6] atyhans,crockabananas [6] crockabananas,jrjhealey [5] coreyebeverage,void_mt Top Word Pairs in Tweet in G5:
[55] chadox1,ncov [55] ncov,19 [55] against,sars [55] sars,cov [45] safety,immunogenicity [45] immunogenicity,chadox1 [45] 19,azd1222 [45] azd1222,vaccine [45] vaccine,against [45] cov,hiv Top Word Pairs in Tweet in G6:
[69] covid,19 [32] healthcare,providers [32] providers,cdc [32] cdc,covid [32] 19,viral [32] viral,testing [32] testing,tool [32] tool,help [32] help,interpret [32] interpret,covid Top Word Pairs in Tweet in G8:
[14] hear,anyone [14] anyone,claim [14] claim,know [14] know,virus [14] virus,didn [14] didn,come [14] come,lab [14] lab,don [14] don,buy [14] buy,well Top Word Pairs in Tweet in G9:
[21] mahiro80,sesu590217 [21] sesu590217,米国cdcやwhoも空気 [21] 米国cdcやwhoも空気,airborne [21] airborne,aerosol [21] aerosol,感染を認めています [21] 感染を認めています,日本では [21] 日本では,感染制御学が専門の清水宣明教授などが注意喚起しています [21] 感染制御学が専門の清水宣明教授などが注意喚起しています,一般には [21] 一般には,エアロゾル [21] エアロゾル,という言葉がよく聞かれますが Top Word Pairs in Tweet in G10:
[6] kags_7,hartgroup_org [6] hartgroup_org,katesilverton [3] chance,infection [2] stop,virus [2] virus,100 [2] reduce,chance [2] bradzuk21,kags_7 [2] reduce,amount [2] work,reduce 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 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: