The graph represents a network of 353 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 October 2022 at 10:00 UTC.
The requested start date was Monday, 17 October 2022 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 11-day, 11-hour, 25-minute period from Monday, 03 October 2022 at 00:29 UTC to Friday, 14 October 2022 at 11:55 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 : 353
Unique Edges : 288
Edges With Duplicates : 180
Total Edges : 468
Number of Edge Types : 5
Replies to : 92
Mentions : 122
Retweet : 72
MentionsInRetweet : 145
Tweet : 37
Self-Loops : 41
Reciprocated Vertex Pair Ratio : 0.00586510263929619
Reciprocated Edge Ratio : 0.0116618075801749
Connected Components : 88
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 76
Maximum Edges in a Connected Component : 122
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.442628
Graph Density : 0.00276043007983518
Modularity : 0.731737
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 353 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 October 2022 at 10:00 UTC.
The requested start date was Monday, 17 October 2022 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 11-day, 11-hour, 25-minute period from Monday, 03 October 2022 at 00:29 UTC to Friday, 14 October 2022 at 11:55 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-NCOV
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:
[70] sars,cov [27] covid,19 [20] 14th,2020 [19] az,stop [19] stop,infection [19] infection,transmission [13] 19,vaccination [13] 2019,ncov [12] 2020,az [11] recommend,covid Top Word Pairs in Tweet in G1:
[20] 14th,2020 [19] stop,infection [19] az,stop [19] infection,transmission [12] 2020,az [11] known,14th [7] knew,az [7] 2020,knew [7] thecoastguy,14th [6] wolfie_smythe,thecoastguy Top Word Pairs in Tweet in G2:
[4] infection,rates [4] 18,separate [4] separate,studies [3] essexpr,lied [3] reduce,infection [3] lists,18 [2] jamiesale,keetmuise [2] essexpr,lists [2] demonstrating,masks [2] studies,demonstrating Top Word Pairs in Tweet in G3:
[5] exhibit,exhibit [4] juliahb1,evidence [3] juliahb1,malcolm02792388 [2] covid,19 [2] wrong,masks [2] respirators,effective [2] virus,causes [2] sars,cov [2] reputable,sources [2] sources,multiple Top Word Pairs in Tweet in G4:
[9] sars,cov [7] covid,19 [7] rapido,antigenico [5] pezzi,sars [5] test,rapido [5] 19,scatola [5] 25,pezzi [5] antigene,covid [5] scatola,25 [5] invece,39 Top Word Pairs in Tweet in G5:
[7] vinay,prasad's [7] cdc,admitted [7] admitted,covid [7] vprasadmdmph,vinay [7] worthless,cdc [7] opinion,worthless [7] karenstrine3,vprasadmdmph [7] covid,spreads [7] prasad's,opinion [7] spreads,aerosols Top Word Pairs in Tweet in G6:
[8] humoral,cellular [8] cellular,immune [6] dynamics,humoral [6] tu_muenchen,unifau [6] ukkoeln,tu_muenchen [6] work,ukkoeln [6] collaborative,work [6] unifau,dynamics [6] released,collaborative [5] immune,responâ Top Word Pairs in Tweet in G7:
[11] continues,recommend [11] vaccination,eligible [11] 19,vaccination [11] recommend,covid [11] guess,cdc [11] covid,19 [11] eligible,persons [11] including,those [11] cdc,continues [11] persons,including Top Word Pairs in Tweet in G8:
[5] nutzen,masken [5] bitte,prüfen [5] haake_daniel,mfresow [5] mfresow,spdbt [5] spdbt,gruenebundestag [5] prüfen,quellen [5] gruenebundestag,fdpbt [5] fdpbt,bitte [5] quellen,nutzen [4] masken,experimen Top Word Pairs in Tweet in G9:
[4] 80,2nd [4] paragraph,2nd [4] 2nd,sentence [4] sars,cov [4] isolates,2019 [4] edes,löydetty [4] 43,80 [4] ncov,available [4] sentence,quantified [4] quantified,virus Top Word Pairs in Tweet in G10:
[2] ridiculous,analogy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
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:
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Top Mentioned in G8:
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: