The graph represents a network of 4,163 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 Saturday, 23 January 2021 at 11:48 UTC.
The requested start date was Saturday, 23 January 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, 20-minute period from Saturday, 09 January 2021 at 01:22 UTC to Friday, 22 January 2021 at 13:43 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 : 4163
Unique Edges : 2804
Edges With Duplicates : 3423
Total Edges : 6227
Number of Edge Types : 5
Retweet : 1432
MentionsInRetweet : 1948
Replies to : 809
Mentions : 1349
Tweet : 689
Self-Loops : 711
Reciprocated Vertex Pair Ratio : 0.0109158679446219
Reciprocated Edge Ratio : 0.0215959968396102
Connected Components : 962
Single-Vertex Connected Components : 347
Maximum Vertices in a Connected Component : 1026
Maximum Edges in a Connected Component : 2341
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.884748
Graph Density : 0.000219145274559536
Modularity : 0.630347
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,163 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 Saturday, 23 January 2021 at 11:48 UTC.
The requested start date was Saturday, 23 January 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, 20-minute period from Saturday, 09 January 2021 at 01:22 UTC to Friday, 22 January 2021 at 13:43 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:
[2944] sars,cov [362] amerikaan,heeft [362] heeft,miljoen [362] miljoen,dollar [362] dollar,uitgeloofd [362] uitgeloofd,diegene [362] diegene,die [362] die,kan [362] kan,bewijzen [362] bewijzen,dat Top Word Pairs in Tweet in G1:
[365] sars,cov [358] amerikaan,heeft [358] heeft,miljoen [358] miljoen,dollar [358] dollar,uitgeloofd [358] uitgeloofd,diegene [358] diegene,die [358] die,kan [358] kan,bewijzen [358] bewijzen,dat Top Word Pairs in Tweet in G2:
[536] sars,cov [81] αναλυτικοί,πίνακες [79] νέες,μολύνσεις [77] μολύνσεις,sars [75] cov,αναλυτικοί [35] covid,19 [34] mers,cov [30] virus,sars [26] cov,sars [20] cov,mers Top Word Pairs in Tweet in G3:
[175] sars,cov [85] 90,52 [80] cov,protein [47] finally,jan [47] jan,2020 [47] 2020,published [47] published,paper [47] paper,laid [47] laid,theoretical [47] theoretical,grounds Top Word Pairs in Tweet in G4:
[17] sars,cov [11] vaccines,produce [11] produce,low [11] low,titers [11] titers,neutralizing [11] neutralizing,antibodies [11] antibodies,elicited [11] elicited,more [11] another,study [11] study,showed Top Word Pairs in Tweet in G5:
[105] going,sars [105] sars,coronavirus [105] coronavirus,excellent [105] excellent,piece [105] piece,ryan_mac_phd [105] ryan_mac_phd,rodneyrohde [105] rodneyrohde,oft [105] oft,ignored [105] ignored,topic [104] angie_rasmussen,going Top Word Pairs in Tweet in G6:
[101] trece,avisándolo [101] avisándolo,#covid19 [101] #covid19,presencia [101] presencia,gran [101] gran,reservorio [101] reservorio,virus [101] virus,tipo [101] tipo,sars [101] sars,cov [101] cov,murciélagos Top Word Pairs in Tweet in G7:
[90] sars,cov [7] cov,backbone [6] spike,protein [6] cov,sars [5] mers,cov [5] sl,cov [5] cov,found [4] cov,sl [4] cov,mers [3] sars,coronavirus Top Word Pairs in Tweet in G8:
[26] sars,cov [5] cdc,long [5] long,ambiguous [5] ambiguous,informational [5] informational,messages [5] messages,continue [5] continue,delivered [5] delivered,population [5] population,instead [5] instead,assuming Top Word Pairs in Tweet in G9:
[63] sars,cov [62] nasalferón,gotas [62] gotas,nasales [62] nasales,cuba [62] cuba,enfrentar [62] enfrentar,coronavirus [62] coronavirus,evita [62] evita,replique [62] replique,sars [62] cov,cubanos Top Word Pairs in Tweet in G10:
[29] sars,cov [6] 29,nt [4] nt,deletion [4] deletion,sars [4] human,human [4] human,transmission [4] 29,nucleotide [4] nucleotide,deletion [3] ballouxfrancois,profvrr [3] profvrr,adam_creighton Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: