The graph represents a network of 1,920 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 Thursday, 28 July 2022 at 10:48 UTC.
The requested start date was Thursday, 28 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, 9-hour, 31-minute period from Thursday, 14 July 2022 at 02:57 UTC to Wednesday, 27 July 2022 at 12:29 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 : 1920
Unique Edges : 948
Edges With Duplicates : 2367
Total Edges : 3315
Number of Edge Types : 5
Replies to : 239
Mentions : 603
Retweet : 1029
MentionsInRetweet : 1258
Tweet : 186
Self-Loops : 200
Reciprocated Vertex Pair Ratio : 0.00585729499467519
Reciprocated Edge Ratio : 0.011646373742721
Connected Components : 313
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 503
Maximum Edges in a Connected Component : 1002
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.136254
Graph Density : 0.000512691071738753
Modularity : 0.56204
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,920 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 Thursday, 28 July 2022 at 10:48 UTC.
The requested start date was Thursday, 28 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, 9-hour, 31-minute period from Thursday, 14 July 2022 at 02:57 UTC to Wednesday, 27 July 2022 at 12:29 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:
[1465] 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:
[972] still,very [972] very,much [486] hey,good [486] good,morning [486] morning,everybody [486] everybody,breaking [486] breaking,news [486] news,sars [486] sars,cov [486] 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:
[116] sars,cov [58] réactivité,cellules [58] cellules,associée [58] associée,l'immunité [58] l'immunité,croisee [58] croisee,coronavirus [58] coronavirus,banal [58] banal,sars [58] cov,taux [58] taux,d'anticorps Top Word Pairs in Tweet in G4:
[124] sars,cov [10] cov,sars [7] covid,19 [6] respiratory,syndrome [6] inhibition,sars [5] severe,acute [5] acute,respiratory [4] mers,cov [4] crystal,structure [4] between,sars Top Word Pairs in Tweet in G5:
[20] 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:
[14] 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:
[13] 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:
[21] sars,cov [6] mariagallegobl,findwhy [6] findwhy,fitterhappieraj [6] fitterhappieraj,mice [6] mice,experimented [6] experimented,adapted [6] adapted,sars [6] cov,virus [6] virus,virus [6] virus,mutated Top Word Pairs in Tweet in G9:
[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 G10:
[42] 1st,identified [21] human,coronaviruses [21] coronaviruses,1st [21] identified,229e [21] 229e,discovered [21] discovered,1967 [21] 1967,nl63 [21] nl63,hku1 [21] hku1,1st [21] identified,netherlands 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 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: