The graph represents a network of 5,408 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, 16 October 2020 at 09:02 UTC.
The requested start date was Friday, 16 October 2020 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, 20-hour, 40-minute period from Friday, 02 October 2020 at 00:41 UTC to Thursday, 15 October 2020 at 21:22 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 : 5408
Unique Edges : 3239
Edges With Duplicates : 5804
Total Edges : 9043
Number of Edge Types : 5
Replies to : 903
Mentions : 1615
Tweet : 567
Retweet : 2584
MentionsInRetweet : 3374
Self-Loops : 592
Reciprocated Vertex Pair Ratio : 0.00841258229700073
Reciprocated Edge Ratio : 0.0166848023213638
Connected Components : 910
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 1032
Maximum Edges in a Connected Component : 2095
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.693251
Graph Density : 0.000188570481175509
Modularity : 0.612104
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,408 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, 16 October 2020 at 09:02 UTC.
The requested start date was Friday, 16 October 2020 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, 20-hour, 40-minute period from Friday, 02 October 2020 at 00:41 UTC to Thursday, 15 October 2020 at 21:22 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:
[3571] sars,cov [451] boegob,publicado [451] publicado,decreto [451] decreto,900 [451] 900,2020 [451] 2020,octubre [451] octubre,declara [451] declara,estado [451] estado,alarma [449] salvadorilla,boegob Top Word Pairs in Tweet in G1:
[450] boegob,publicado [450] publicado,decreto [450] decreto,900 [450] 900,2020 [450] 2020,octubre [450] octubre,declara [450] declara,estado [450] estado,alarma [448] salvadorilla,boegob [443] alarma,respondâ Top Word Pairs in Tweet in G2:
[305] sars,cov [305] cov,deseo [305] deseo,pronta [303] trump,positivo [303] positivo,covid19 [303] covid19,tome [303] tome,medidas [303] medidas,sanitarias [303] sanitarias,correspondientes [303] correspondientes,sars Top Word Pairs in Tweet in G3:
[641] sars,cov [318] antibodies,serum [318] serum,samples [318] samples,patients [318] patients,infected [318] infected,during [318] during,2003 [318] 2003,sars [318] cov,outbreak [318] outbreak,effectively Top Word Pairs in Tweet in G4:
[421] sars,cov [54] î,î [45] covid,19 [34] mers,cov [33] cov,sars [17] cov,mers [16] respiratory,syndrome [15] coronavirus,sars [12] cov,virus [12] patients,infected Top Word Pairs in Tweet in G5:
[215] sars,cov [50] coronavirus,sars [38] nitric,oxide [35] respiratory,syndrome [34] severe,acute [34] acute,respiratory [31] oxide,inhibits [30] inhibits,prevents [30] prevents,replication [30] replication,cycle Top Word Pairs in Tweet in G6:
[195] medicine,sars [195] sars,threatens [195] threatens,patients [195] patients,life [195] life,cases [195] cases,sars [195] sars,due [195] due,different [195] different,strains [195] strains,corona Top Word Pairs in Tweet in G7:
[115] sars,cov [12] human,passage [12] spike,protein [12] cross,infection [12] infection,studies [12] studies,wiv [11] s1,s2 [10] sure,human [10] human,covs [10] covs,mers Top Word Pairs in Tweet in G8:
[116] pcr,test [64] specificiteit,pcr [64] test,wordt [64] wordt,nog [64] nog,ten [64] ten,zeerste [64] zeerste,betwijfeld [64] betwijfeld,welke [64] welke,primers [64] primers,zijn Top Word Pairs in Tweet in G9:
[106] attenzione,ho [106] ho,letto [106] letto,caso [106] bisogna,chiedere [106] chiedere,quale [106] quale,virus [106] virus,positivi [106] positivi,hcov [106] hcov,229e [106] 229e,hcov Top Word Pairs in Tweet in G10:
[5] sars,cov [3] pns_news,climateben [3] climateben,climvari [3] thedisproof,thinks_about_it [3] thinks_about_it,feynmanfreaky [3] feynmanfreaky,reckedrik [3] reckedrik,cjtjgeol [3] cjtjgeol,over400ppm [2] lovemoz1,dancady [2] dancady,pns_news Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: