The graph represents a network of 1,896 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 Monday, 26 December 2022 at 10:46 UTC.
The requested start date was Monday, 26 December 2022 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 13-day, 7-hour, 20-minute period from Monday, 12 December 2022 at 01:16 UTC to Sunday, 25 December 2022 at 08:36 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 : 1896
Unique Edges : 1214
Edges With Duplicates : 1540
Total Edges : 2754
Number of Edge Types : 5
Tweet : 164
MentionsInRetweet : 832
Mentions : 731
Replies to : 399
Retweet : 628
Self-Loops : 184
Reciprocated Vertex Pair Ratio : 0.00669269380925823
Reciprocated Edge Ratio : 0.0132963988919668
Connected Components : 346
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 273
Maximum Edges in a Connected Component : 562
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.77055
Graph Density : 0.000502376896785901
Modularity : 0.656479
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,896 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 Monday, 26 December 2022 at 10:46 UTC.
The requested start date was Monday, 26 December 2022 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 13-day, 7-hour, 20-minute period from Monday, 12 December 2022 at 01:16 UTC to Sunday, 25 December 2022 at 08:36 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:
[1233] sars,cov [286] mers,cov [283] cov,sars [224] cov,coronavirus [215] related,sars [213] coronavirus,related [212] caused,mers [212] caused,influenza [212] mers,caused [212] influenza,virus Top Word Pairs in Tweet in G1:
[242] sars,cov [214] mers,cov [212] cov,sars [211] cov,coronavirus [211] coronavirus,related [211] caused,influenza [211] caused,mers [211] virus,caused [211] influenza,virus [211] related,sars Top Word Pairs in Tweet in G2:
[137] sars,cov [135] situaciones,complejas [135] hecho,últimas [135] cov,mers [135] hayan,reproducido [135] complejas,gripe [135] décadas,hayan [135] reproducido,situaciones [135] aviar,sars [135] últimas,décadas Top Word Pairs in Tweet in G3:
[115] sars,cov [13] mers,cov [12] cov,sars [6] cov,mers [5] cov,virus [5] covid,19 [4] cov,lethal [4] model,evaluating [4] antiviral,agents [4] agents,vitro Top Word Pairs in Tweet in G4:
[44] sars,cov [4] march,2020 [4] early,treatment [4] cov,shares [4] owner,cdc [4] coronavirus,sars [4] patent#,us007220852b1 [4] date,patent [4] states,patent# [4] cov,sars Top Word Pairs in Tweet in G5:
[2] leave,assumption [2] people,residual [2] virus,debate [2] residual,virus [2] sars,cov [2] assumption,people Top Word Pairs in Tweet in G6:
[2] sars,cov [2] cov,patented Top Word Pairs in Tweet in G7:
[12] sars,cov [3] original,sars [3] mers,cov [3] cov,mers [2] agneswaxooo,fatalfibers [2] fatalfibers,chrismartenson [2] l'hcov,oc43 [2] blast,search [2] cov,tous [2] antibiotic,effective Top Word Pairs in Tweet in G8:
[4] sars,cov [2] spike,protein Top Word Pairs in Tweet in G9:
[21] aggravation,infection [21] facilitation,aggravation [21] infection,vaccine [21] vaccine,antibodies [16] enhancement,aware [16] aware,#ade [16] dependent,enhancement [16] antibody,dependent [16] #ade,facilitation [15] banounhelene,antibody Top Word Pairs in Tweet in G10:
[20] sars,cov [17] die,idee [17] herpes,corona [17] die,effekte [17] effekte,hiv [17] idee,die [17] hiv,herpes [17] karl_lauterbach,die [17] corona,meinen [17] meinen,sars Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: