The graph represents a network of 3,529 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, 26 January 2021 at 11:12 UTC.
The requested start date was Tuesday, 26 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 10-day, 12-hour, 39-minute period from Tuesday, 12 January 2021 at 01:03 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 : 3529
Unique Edges : 2338
Edges With Duplicates : 2983
Total Edges : 5321
Number of Edge Types : 5
Retweet : 1278
MentionsInRetweet : 1733
Replies to : 639
Mentions : 1110
Tweet : 561
Self-Loops : 581
Reciprocated Vertex Pair Ratio : 0.0102707749766573
Reciprocated Edge Ratio : 0.0203327171903882
Connected Components : 806
Single-Vertex Connected Components : 286
Maximum Vertices in a Connected Component : 826
Maximum Edges in a Connected Component : 1938
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.511696
Graph Density : 0.000260716357951512
Modularity : 0.628381
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 3,529 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, 26 January 2021 at 11:12 UTC.
The requested start date was Tuesday, 26 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 10-day, 12-hour, 39-minute period from Tuesday, 12 January 2021 at 01:03 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:
[2408] 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:
[429] sars,cov [69] νέες,μολύνσεις [68] αναλυτικοί,πίνακες [67] μολύνσεις,sars [65] cov,αναλυτικοί [26] covid,19 [23] mers,cov [22] cov,sars [16] virus,sars [14] cov,virus Top Word Pairs in Tweet in G3:
[179] sars,cov [85] 90,52 [80] cov,protein [48] finally,jan [48] jan,2020 [48] 2020,published [48] published,paper [48] paper,laid [48] laid,theoretical [48] theoretical,grounds Top Word Pairs in Tweet in G4:
[15] sars,cov [11] vaccines,produce [11] produce,low [11] low,titers [11] titers,neutralizing [11] neutralizing,antibodies [11] antibodies,elicited [11] elicited,more [10] more,severe [10] severe,peritonitis 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:
[61] sars,cov [5] cov,sars [5] cov,found [4] cov,backbone [4] spike,protein [4] mers,cov [3] mouse,adapted [3] adapted,sars [3] billybostickson,keverington [3] sars,coronavirus Top Word Pairs in Tweet in G8:
[21] 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:
[4] sars,cov [2] random_dragon,enricbernedaben [2] enricbernedaben,yeyete2000 [2] yeyete2000,ej_molina_c [2] ej_molina_c,gemmspp [2] gemmspp,andresj777 [2] andresj777,jbarrios107 [2] jbarrios107,nccarmon [2] nccarmon,mariaje45669909 [2] 90,52 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 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: