The graph represents a network of 3,145 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 Saturday, 26 June 2021 at 09:20 UTC.
The requested start date was Friday, 25 June 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 13-day, 23-hour, 15-minute period from Friday, 11 June 2021 at 00:36 UTC to Thursday, 24 June 2021 at 23:51 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 : 3145
Unique Edges : 2089
Edges With Duplicates : 2453
Total Edges : 4542
Number of Edge Types : 5
Mentions : 1270
Tweet : 452
Retweet : 951
MentionsInRetweet : 1231
Replies to : 638
Self-Loops : 491
Reciprocated Vertex Pair Ratio : 0.00851970181043664
Reciprocated Edge Ratio : 0.0168954593453009
Connected Components : 709
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 398
Maximum Edges in a Connected Component : 964
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.90946
Graph Density : 0.000287321448075826
Modularity : 0.64598
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,145 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 Saturday, 26 June 2021 at 09:20 UTC.
The requested start date was Friday, 25 June 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 13-day, 23-hour, 15-minute period from Friday, 11 June 2021 at 00:36 UTC to Thursday, 24 June 2021 at 23:51 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:
[2114] sars,cov [303] wuhan,virus [250] virus,wuhan [122] covid,19 [108] cov,invade [108] invade,parénquima [108] parénquima,pulmonar [108] pulmonar,torna [108] torna,amenazante [108] amenazante,cuídense Top Word Pairs in Tweet in G1:
[219] sars,cov [49] wuhan,lab [48] remind,ccp [48] ccp,waited [48] waited,25 [48] 25,days [48] days,lock [48] lock,down [48] down,wuhan [48] lab,results Top Word Pairs in Tweet in G2:
[277] sars,cov [17] cov,sars [17] covid,19 [14] mers,cov [10] virus,sars [10] namikof,sars [9] cov,mers [7] νέες,μολύνσεις [7] μολύνσεις,sars [7] cov,αναλυτικοί Top Word Pairs in Tweet in G3:
[108] sars,cov [108] cov,invade [108] invade,parénquima [108] parénquima,pulmonar [108] pulmonar,torna [108] torna,amenazante [108] amenazante,cuídense [108] cuídense,gobierno [108] gobierno,guatemala [107] tapirestepario,sars Top Word Pairs in Tweet in G4:
[69] sars,cov [58] vezes,mais [57] isso,já [57] já,sabe [57] sabe,variante [57] variante,delta [57] delta,vezes [57] mais,transmissível [57] transmissível,sars [57] cov,original Top Word Pairs in Tweet in G5:
[38] passieren,die [38] die,komplette [38] komplette,durchseuchung [38] durchseuchung,großteils [38] großteils,klein [38] klein,kinder [38] kinder,jugendlichen [37] ljohnsdorf,passieren [37] jugendlichen,schwe [27] beginn,super Top Word Pairs in Tweet in G6:
[300] wuhan,virus [250] virus,wuhan [55] sars,cov [25] virus,sars [25] cov,mers [25] mers,cov [25] cov,229e [25] 229e,nl63 [25] nl63,oc43 [25] oc43,hku1 Top Word Pairs in Tweet in G7:
[2] sars,cov Top Word Pairs in Tweet in G8:
[3] sars,cov Top Word Pairs in Tweet in G9:
[32] coronavirus,particles [31] potential,confusion [31] confusion,coronavirus [31] particles,normal [31] normal,cellular [31] cellular,components [31] components,fact [31] fact,highlighted [24] kpcresearch,potential [24] highlighted,detaile Top Word Pairs in Tweet in G10:
[27] sars,cov [5] 25,000 [5] 000,000 [5] 000,desarrollar [5] desarrollar,nuevo [5] nuevo,sars [5] cov,wuhan [5] wuhan,leed [5] leed,bidolinicola [4] carinho9,25 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: