The graph represents a network of 1,982 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 Friday, 29 July 2022 at 09:32 UTC.
The requested start date was Friday, 29 July 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 13-day, 7-hour, 20-minute period from Friday, 15 July 2022 at 05:03 UTC to Thursday, 28 July 2022 at 12:23 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 : 1982
Unique Edges : 970
Edges With Duplicates : 2452
Total Edges : 3422
Number of Edge Types : 5
Tweet : 201
Replies to : 259
Mentions : 648
Retweet : 1047
MentionsInRetweet : 1267
Self-Loops : 215
Reciprocated Vertex Pair Ratio : 0.00676027041081643
Reciprocated Edge Ratio : 0.0134297520661157
Connected Components : 321
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 505
Maximum Edges in a Connected Component : 1008
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.142883
Graph Density : 0.00049307981831435
Modularity : 0.558986
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,982 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 Friday, 29 July 2022 at 09:32 UTC.
The requested start date was Friday, 29 July 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 13-day, 7-hour, 20-minute period from Friday, 15 July 2022 at 05:03 UTC to Thursday, 28 July 2022 at 12:23 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:
[1514] sars,cov [978] still,very [978] very,much [490] news,sars [490] cov,pandemic [489] hey,good [489] good,morning [489] morning,everybody [489] everybody,breaking [489] breaking,news Top Word Pairs in Tweet in G1:
[970] still,very [970] very,much [485] hey,good [485] good,morning [485] morning,everybody [485] everybody,breaking [485] breaking,news [485] news,sars [485] sars,cov [485] cov,pandemic Top Word Pairs in Tweet in G2:
[155] vacuna,contra [155] contra,sars [155] sars,cov [155] cov,provoca [155] provoca,sida [155] sida,pensar [155] pensar,virus [155] virus,sida [155] sida,estado [155] estado,provocado Top Word Pairs in Tweet in G3:
[123] sars,cov [65] réactivité,cellules [65] cellules,associée [65] associée,l'immunité [65] l'immunité,croisee [65] croisee,coronavirus [65] coronavirus,banal [65] banal,sars [65] cov,taux [65] taux,d'anticorps Top Word Pairs in Tweet in G4:
[130] sars,cov [11] cov,sars [6] respiratory,syndrome [6] inhibition,sars [5] mers,cov [5] severe,acute [5] acute,respiratory [4] crystal,structure [4] between,sars [4] covid,19 Top Word Pairs in Tweet in G5:
[30] sars,cov [7] eraqbjorn,whykeepitup [7] whykeepitup,stu_butcher99 [6] fudyou2,beckyj2779 [6] beckyj2779,eraqbjorn [6] bhchillin76,ringshanks [6] ringshanks,breezergalway [6] mr_magoo5,bigbruce1972 [6] bigbruce1972,basil_ireton [6] basil_ireton,tierrahenson Top Word Pairs in Tweet in G6:
[8] sars,cov [8] chrismartenson,bretweinstein [8] bretweinstein,brendaneich [8] brendaneich,alykhansatchu [8] alykhansatchu,deinertdoc [8] deinertdoc,jjcouey [8] jjcouey,ethicalskeptic [8] ethicalskeptic,uninitiated [7] charlesrixey,chrismartenson [7] uninitiated,pol Top Word Pairs in Tweet in G7:
[14] sars,cov [3] corona,viren [2] kamikazefpv,thoughtfultom [2] thoughtfultom,stohr_klaus [2] herr,stöhr [2] stöhr,ausgewiesener [2] ausgewiesener,experte [2] experte,seine [2] seine,aussage [2] aussage,richtig Top Word Pairs in Tweet in G8:
[10] karl_lauterbach,ehrlich [10] ehrlich,lauterbach [10] lauterbach,mag [10] mag,grenzdebilen [10] grenzdebilen,mob [10] mob,beeindrucken [10] beeindrucken,die [10] die,grundzüge [9] susannebaessler,karl_lauterbach [9] grundzüge,immunologi Top Word Pairs in Tweet in G9:
[21] sars,cov [6] 2013,zheng [6] zheng,li [6] li,shi [6] shi,ses [6] ses,collègues [6] collègues,l'institut [6] l'institut,virologie [6] virologie,wuhan [6] wuhan,identifient Top Word Pairs in Tweet in G10:
[25] covid,19 [16] name,covid [15] patent,application [14] 19,appear [14] appear,2015 [14] 2015,patent [11] sars,cov [9] name,sars [9] cov,covid [9] 19,until Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
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 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: