The graph represents a network of 4,510 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 Sunday, 18 April 2021 at 09:44 UTC.
The requested start date was Sunday, 18 April 2021 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 12-day, 12-hour, 29-minute period from Sunday, 04 April 2021 at 00:23 UTC to Friday, 16 April 2021 at 12:52 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 : 4510
Unique Edges : 2854
Edges With Duplicates : 4851
Total Edges : 7705
Number of Edge Types : 5
Retweet : 2173
MentionsInRetweet : 2896
Tweet : 651
Replies to : 644
Mentions : 1341
Self-Loops : 673
Reciprocated Vertex Pair Ratio : 0.00609756097560976
Reciprocated Edge Ratio : 0.0121212121212121
Connected Components : 847
Single-Vertex Connected Components : 254
Maximum Vertices in a Connected Component : 1445
Maximum Edges in a Connected Component : 3288
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.349594
Graph Density : 0.000227187900621521
Modularity : 0.605759
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,510 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 Sunday, 18 April 2021 at 09:44 UTC.
The requested start date was Sunday, 18 April 2021 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 12-day, 12-hour, 29-minute period from Sunday, 04 April 2021 at 00:23 UTC to Friday, 16 April 2021 at 12:52 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:
[3456] sars,cov [434] variante,local [434] local,sars [403] nueva,variante [207] cov,sars [204] desestimó,oficialmente [204] oficialmente,exista [198] antes,versiones [194] original,sars [192] covid,19 Top Word Pairs in Tweet in G1:
[443] sars,cov [73] αναλυτικοί,πίνακες [69] νέες,μολύνσεις [69] μολύνσεις,sars [65] cov,αναλυτικοί [45] cov,sars [26] covid,19 [25] multilevel,proteomics [25] proteomics,reveals [25] reveals,host Top Word Pairs in Tweet in G2:
[190] correct,scientific [190] scientific,articles [190] articles,shown [190] shown,dezying [190] dezying,linking [190] linking,increase [190] increase,#covid19's [190] #covid19's,virulence [190] virulence,modifying [189] lawrencesellin,correct Top Word Pairs in Tweet in G3:
[256] sars,cov [247] variante,local [247] local,sars [215] nueva,variante [202] desestimó,oficialmente [202] oficialmente,exista [171] cov,encuentra [170] anlis_malbran,desestimó [170] exista,nueva [142] dirección,anlis_malbran Top Word Pairs in Tweet in G4:
[179] michael,yeadon [179] yeadon,interview [179] interview,former [179] former,pfizer [179] pfizer,vp [179] vp,explains [179] explains,virus [179] virus,variants [179] variants,difference [179] difference,original Top Word Pairs in Tweet in G5:
[184] antes,versiones [184] nueva,variante [184] variante,local [184] local,sars [184] sars,cov [131] anlis,malbrán [129] malbrán,desmiente [129] desmiente,haya [129] haya,cepa [129] cepa,buenos Top Word Pairs in Tweet in G6:
[12] sars,cov [3] burgerlab12,shared_facts [3] shared_facts,monstercoyliar [3] monstercoyliar,markmcdougall13 [3] markmcdougall13,jrjhealey [3] jrjhealey,harryetaylor [3] harryetaylor,hungryfillbe [3] and_nothingelse,hcornea [3] monstatofu,houseofgab [3] chrisjohnsonmd,lysandergrant Top Word Pairs in Tweet in G7:
[169] sars,cov [111] mejora,dependiente [111] dependiente,anticuerpos [56] anticuerpos,ade [55] ade,mejora [55] anticuerpos,vacuna [55] vacuna,vade [55] vade,lecciones [54] papayaykware,mejora [45] cov,virus Top Word Pairs in Tweet in G8:
[163] sars,cov [94] antibody,dependent [94] dependent,enhancement [94] enhancement,ade [94] cov,protein [72] robinmonottibis,antibody [63] protein,specific [63] specific,antibodies [45] ade,sars [45] antibodies,elicit Top Word Pairs in Tweet in G9:
[180] sars,cov [58] sorenschifter,sars [47] genome,87 [47] 87,identical [47] identical,sars [47] cov,higher [47] higher,75 [47] 75,human [47] human,coronaviruses [47] coronaviruses,see Top Word Pairs in Tweet in G10:
[99] sars,cov [12] cov,sars [11] cdc,predicts [11] predicts,july [11] july,2005 [11] 2005,events [11] events,indicate [11] indicate,sars [11] sars,epidemic [11] epidemic,recur Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 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: