The graph represents a network of 1,101 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 Wednesday, 23 November 2022 at 10:02 UTC.
The requested start date was Wednesday, 23 November 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 9-day, 23-hour, 7-minute period from Saturday, 12 November 2022 at 13:18 UTC to Tuesday, 22 November 2022 at 12:26 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 : 1101
Unique Edges : 723
Edges With Duplicates : 894
Total Edges : 1617
Number of Edge Types : 5
Replies to : 240
Retweet : 344
MentionsInRetweet : 474
Mentions : 435
Tweet : 124
Self-Loops : 130
Reciprocated Vertex Pair Ratio : 0.0125968992248062
Reciprocated Edge Ratio : 0.0248803827751196
Connected Components : 210
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 285
Maximum Edges in a Connected Component : 520
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.854714
Graph Density : 0.000862851952770209
Modularity : 0.643192
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,101 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 Wednesday, 23 November 2022 at 10:02 UTC.
The requested start date was Wednesday, 23 November 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 9-day, 23-hour, 7-minute period from Saturday, 12 November 2022 at 13:18 UTC to Tuesday, 22 November 2022 at 12:26 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:
[627] sars,cov [66] covid,19 [61] covid19,sars [54] conjointe,d'avocats [54] pénale,internationale [54] d'avocats,internationaux [54] plainte,conjointe [54] internationaux,cour [54] internationale,génocide [54] cour,pénale Top Word Pairs in Tweet in G1:
[79] sars,cov [60] covid19,sars [53] biological,weapons [52] internationale,génocide [52] cour,pénale [52] conjointe,d'avocats [52] pénale,internationale [52] plainte,conjointe [52] d'avocats,internationaux [52] internationaux,cour Top Word Pairs in Tweet in G2:
[6] sars,cov [3] sars,related [2] liamkav,agoldsmithesq [2] docstardust,justplaying2win [2] estespga,gobantwo2 [2] mchael21592783m,clownworld_bobo [2] alaskacryptogi1,tenebra99 [2] doritmi,takethatct [2] jonintn1,andrewlazarus4 [2] related,sars Top Word Pairs in Tweet in G3:
[35] sars,cov [15] infectious,clone [13] see,additional [13] true,illuminating [13] illuminating,see [13] helps,better [13] verifiable,genome [13] additional,pre [13] sequences,verifiable [13] pre,covid Top Word Pairs in Tweet in G4:
[41] covid,19 [25] exporting,covid [23] sars,cov [21] name,covid [17] give,sars [15] kits,2017 [15] cov,name [13] 19,until [11] patent,application [11] 19,test Top Word Pairs in Tweet in G5:
[47] staan,ongevaccineerde [47] hoe,staan [47] toen,nu [47] wereld,gered [47] heeft,wereld [47] gered,wat [47] nonsens,hoe [47] wat,toen [47] nu,natuurlijk [47] natuurlijk,complete Top Word Pairs in Tweet in G6:
[67] sars,cov [11] covid,19 [5] cov,virus [5] olan,sars [3] salgınından,sorumlu [3] 1378,bp [3] acute,respiratory [3] sars,salgınından [3] respiratory,syndrome [3] severe,acute Top Word Pairs in Tweet in G7:
[24] action,against [24] details,work [24] peptide,broad [24] very,excited [24] work,finding [24] against,coronavirus [24] share,details [24] broad,action [24] finding,peptide [24] finally,share Top Word Pairs in Tweet in G8:
[54] sars,cov [27] level,virus [27] bird,flu [27] 3s,sars [27] biosafety,level [27] yellow,fever [27] fever,level [27] level,3s [27] level,2s [27] cov,bird Top Word Pairs in Tweet in G9:
[18] sars,cov [7] tomasoantonacci,thread [6] thread,links [6] aims,particular [6] infections,aims [6] cov,infections [6] microbiota,sars [6] between,microbiota [6] links,between [6] particular,prevent Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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:
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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 G8:
Top Tweeters in G9:
Top Tweeters in G10: