The graph represents a network of 648 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, 11 December 2022 at 10:54 UTC.
The requested start date was Sunday, 11 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 5-day, 10-hour, 12-minute period from Sunday, 27 November 2022 at 01:23 UTC to Friday, 02 December 2022 at 11:36 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 : 648
Unique Edges : 553
Edges With Duplicates : 402
Total Edges : 955
Number of Edge Types : 5
Retweet : 173
MentionsInRetweet : 351
Tweet : 92
Replies to : 126
Mentions : 213
Self-Loops : 99
Reciprocated Vertex Pair Ratio : 0.00455235204855842
Reciprocated Edge Ratio : 0.00906344410876133
Connected Components : 171
Single-Vertex Connected Components : 40
Maximum Vertices in a Connected Component : 51
Maximum Edges in a Connected Component : 150
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.809952
Graph Density : 0.00157898753983247
Modularity : 0.699037
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 648 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, 11 December 2022 at 10:54 UTC.
The requested start date was Sunday, 11 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 5-day, 10-hour, 12-minute period from Sunday, 27 November 2022 at 01:23 UTC to Friday, 02 December 2022 at 11:36 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:
[357] sars,cov [43] conjointe,d'avocats [43] pénale,internationale [43] d'avocats,internationaux [43] plainte,conjointe [43] internationaux,cour [43] internationale,génocide [43] cour,pénale [42] génocide,crime [42] crime,contre Top Word Pairs in Tweet in G2:
[43] d'avocats,internationaux [43] internationale,génocide [43] plainte,conjointe [43] cour,pénale [43] pénale,internationale [43] conjointe,d'avocats [43] internationaux,cour [42] crime,contre [42] génocide,crime [38] contre,humanité Top Word Pairs in Tweet in G3:
[38] donc,injections [38] expérimentales,contre [38] ecrins6,sbeynet [38] sbeynet,oui [38] covid,sont [38] génétiques,expérimentales [38] vaccins,n'a [38] contre,covid [38] oui,donc [38] injections,génétiques Top Word Pairs in Tweet in G4:
[63] sars,cov [10] cov,sars [8] mers,cov [7] coronavirus,sars [5] cov,mers [4] pocket,conserved [4] spike,proteins [3] acute,respiratory [3] converting,enzyme [3] pathogenic,β Top Word Pairs in Tweet in G5:
[5] sars,cov Top Word Pairs in Tweet in G6:
[19] sulfide,fart [19] spend,minutes [19] fart,smell [19] 47,nm [19] googling,hydrogen [19] hydrogen,sulfide [19] kurtbardella,gopleader [19] minutes,googling [19] gopleader,spend [19] smell,47 Top Word Pairs in Tweet in G7:
[10] sars,cov [5] origines,sars [5] éloigné,fadaises [5] séminaire,origines [5] anglais,séminaire [5] parole,frelatée [5] contenu,très [5] officielles,parole [5] fadaises,officielles [5] cov,contenu Top Word Pairs in Tweet in G8:
[2] user3425664,petelincoln48 [2] thelancet,please [2] sars,cov [2] ayjchan,thelancet [2] consider,one [2] denies,section [2] one,denies [2] please,consider [2] janeqiuchina,user3425664 [2] petelincoln48,ayjchan Top Word Pairs in Tweet in G9:
[7] cov,straftat [7] sars,cov [7] cov,sars [7] m_kubiciel,tfruehmark [7] kleincrime,m_kubiciel [7] tfruehmark,verbreitung [7] verbreitung,cov [7] kn_online,kleincrime [6] docwho23,kn_online Top Word Pairs in Tweet in G10:
[8] zoonose,jemand [8] lock,downs [8] albernen,lock [8] zoonose,sars [8] sars,cov [8] jemand,kenne [8] cov,albernen [8] die,zoonose [8] war,die [8] kenne,meinung 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:
Top Mentioned in G2:
Top Mentioned in G3:
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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 G10: