The graph represents a network of 1,900 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, 25 December 2022 at 10:52 UTC.
The requested start date was Sunday, 25 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 12-day, 6-hour, 37-minute period from Sunday, 11 December 2022 at 02:30 UTC to Friday, 23 December 2022 at 09:07 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 : 1900
Unique Edges : 1203
Edges With Duplicates : 1492
Total Edges : 2695
Number of Edge Types : 5
Retweet : 610
MentionsInRetweet : 783
Tweet : 156
Replies to : 396
Mentions : 750
Self-Loops : 178
Reciprocated Vertex Pair Ratio : 0.00679886685552408
Reciprocated Edge Ratio : 0.0135059088351154
Connected Components : 344
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 255
Maximum Edges in a Connected Component : 495
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.674748
Graph Density : 0.000492502979407444
Modularity : 0.661538
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,900 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, 25 December 2022 at 10:52 UTC.
The requested start date was Sunday, 25 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 12-day, 6-hour, 37-minute period from Sunday, 11 December 2022 at 02:30 UTC to Friday, 23 December 2022 at 09:07 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:
[1220] sars,cov [287] mers,cov [281] cov,sars [227] 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:
[227] sars,cov [213] mers,cov [211] virus,caused [211] cov,sars [211] related,sars [211] cov,coronavirus [211] mers,caused [211] influenza,virus [211] coronavirus,related [211] caused,mers Top Word Pairs in Tweet in G2:
[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 [135] gripe,aviar Top Word Pairs in Tweet in G3:
[113] sars,cov [15] mers,cov [12] cov,sars [8] cov,mers [5] covid,19 [4] virus,sars [4] cov,lethal [4] model,evaluating [4] antiviral,agents [4] agents,vitro Top Word Pairs in Tweet in G4:
[43] sars,cov [4] states,patent# [4] cov,shares [4] march,2020 [4] owner,cdc [4] cov,sars [4] patent,owner [4] patent,22 [4] patent#,us007220852b1 [4] early,treatment 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:
[10] sars,cov [3] original,sars [3] mers,cov [3] cov,mers [2] l'hcov,oc43 [2] drgonzo2018,thejikky [2] azm,antibiotic [2] effective,against [2] thejikky,elonmusk [2] agneswaxooo,fatalfibers Top Word Pairs in Tweet in G8:
[4] sars,cov [2] spike,protein Top Word Pairs in Tweet in G9:
[21] infection,vaccine [21] vaccine,antibodies [21] aggravation,infection [21] facilitation,aggravation [16] antibody,dependent [16] aware,#ade [16] enhancement,aware [16] dependent,enhancement [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:
Top Tweeters in G1:
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Top Tweeters in G10: