The graph represents a network of 1,591 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, 28 December 2022 at 10:02 UTC.
The requested start date was Wednesday, 28 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, 10-hour, 53-minute period from Wednesday, 14 December 2022 at 01:02 UTC to Tuesday, 27 December 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 : 1591
Unique Edges : 1091
Edges With Duplicates : 1165
Total Edges : 2256
Number of Edge Types : 5
Replies to : 328
Mentions : 653
Retweet : 465
MentionsInRetweet : 656
Tweet : 154
Self-Loops : 164
Reciprocated Vertex Pair Ratio : 0.00730897009966777
Reciprocated Edge Ratio : 0.0145118733509235
Connected Components : 310
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 234
Maximum Edges in a Connected Component : 506
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.121181
Graph Density : 0.000599282916088533
Modularity : 0.676272
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,591 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, 28 December 2022 at 10:02 UTC.
The requested start date was Wednesday, 28 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, 10-hour, 53-minute period from Wednesday, 14 December 2022 at 01:02 UTC to Tuesday, 27 December 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-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:
[976] sars,cov [130] cov,sars [128] mers,cov [108] virus,sars [96] cov,causes [94] chronic,immune [94] loss,plasmacytoid [94] sars,cause [94] immune,activation [94] aids,virus Top Word Pairs in Tweet in G1:
[203] sars,cov [96] virus,sars [92] systemic,chronic [92] chronic,immune [92] dendritic,cells [92] immune,activation [92] aids,virus [92] loss,plasmacytoid [92] plasmacytoid,dendritic [92] cause,aids Top Word Pairs in Tweet in G2:
[102] sars,cov [10] cov,sars [8] mers,cov [6] covid,19 [4] cov,lethal [4] model,evaluating [4] antiviral,agents [4] agents,vitro [4] mouse,adapted [4] evaluating,antiviral Top Word Pairs in Tweet in G3:
[3] sars,cov [2] leave,assumption [2] people,residual [2] virus,debate [2] maureenstroud,aspalaasnasntyr [2] residual,virus [2] assumption,people Top Word Pairs in Tweet in G4:
[2] sars,cov [2] cov,patented Top Word Pairs in Tweet in G5:
[11] sars,cov [3] mers,cov [3] cov,mers [2] sars,patent [2] l'hcov,oc43 [2] comprising,sars [2] modified,plants [2] thereof,immunization [2] sequences,methods [2] azm,antibiotic Top Word Pairs in Tweet in G6:
[24] sars,cov [5] cov,virus [4] 2003,sars [3] liberal,democracies [3] billym2k,vvilelyn [3] contagion,outbreak [3] western,liberal [3] mers,cov [3] elonmusk,billym2k [2] world,claiming Top Word Pairs in Tweet in G7:
[30] insana,bulaşan [30] verem,hayvandan [30] gribi,domuz [30] kuş,gribi [30] sars,cov [30] gribi,sars [30] kuduz,verem [30] bulaşan,hastalıklara [30] cov,kırım [30] kongo,kanamalı Top Word Pairs in Tweet in G8:
[4] sars,cov [2] labombetta76,simonaanomis8 [2] bildartedesy,twitter [2] arturoarthuren,bildartedesy [2] sconosciuto,letale [2] mp4e81,arturoarthuren [2] vladimirozacch1,riggio_carla [2] il_pat,drpaolomezzana Top Word Pairs in Tweet in G9:
[21] sars,cov [18] karl_lauterbach,die [17] idee,die [17] cov,immunsystem [17] die,idee [17] hiv,herpes [17] effekte,hiv [17] meinen,sars [17] corona,meinen [17] die,effekte Top Word Pairs in Tweet in G10:
[4] sars,cov [2] long,term Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
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Top Mentioned in G7:
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 G9:
Top Tweeters in G10: