The graph represents a network of 3,724 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, 30 October 2021 at 10:39 UTC.
The requested start date was Saturday, 30 October 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, 10-hour, 26-minute period from Saturday, 16 October 2021 at 01:33 UTC to Friday, 29 October 2021 at 11:59 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 : 3724
Unique Edges : 1996
Edges With Duplicates : 4109
Total Edges : 6105
Number of Edge Types : 5
Retweet : 1713
MentionsInRetweet : 2015
Replies to : 606
Mentions : 1376
Tweet : 395
Self-Loops : 431
Reciprocated Vertex Pair Ratio : 0.00893355667225014
Reciprocated Edge Ratio : 0.0177089097952407
Connected Components : 586
Single-Vertex Connected Components : 156
Maximum Vertices in a Connected Component : 655
Maximum Edges in a Connected Component : 1481
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.439812
Graph Density : 0.000260666631468737
Modularity : 0.59766
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,724 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, 30 October 2021 at 10:39 UTC.
The requested start date was Saturday, 30 October 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, 10-hour, 26-minute period from Saturday, 16 October 2021 at 01:33 UTC to Friday, 29 October 2021 at 11:59 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:
[2296] sars,cov [398] vaccin,traditionnel [398] traditionnel,valneva [398] valneva,démontre [398] démontre,essai [398] essai,efficacité [398] efficacité,supérieure [398] supérieure,celle [398] celle,astrazeneca [397] maxdelvallee,vaccin Top Word Pairs in Tweet in G1:
[397] vaccin,traditionnel [397] traditionnel,valneva [397] valneva,démontre [397] démontre,essai [397] essai,efficacité [397] efficacité,supérieure [397] supérieure,celle [397] celle,astrazeneca [396] maxdelvallee,vaccin [2] sars,cov Top Word Pairs in Tweet in G2:
[284] sars,cov [277] cov,infection [276] hydroxycholoquine,strong [276] strong,antiviral [276] antiviral,effects [276] effects,sars [273] 2005,hydroxycholoquine [271] cdc,2005 [264] cells,inhibitory [255] charlie3593,cdc Top Word Pairs in Tweet in G3:
[165] sars,cov [162] uniklinikum,bonn [162] bonn,sucht [162] sucht,studie [162] studie,postcovid [162] postcovid,25 [162] 25,75jährige [162] 75jährige,nachgewiesen [162] nachgewiesen,sars [162] cov,infizierte Top Word Pairs in Tweet in G4:
[280] sars,cov [38] των,νέων [38] νέων,μολύνσεων [38] μολύνσεων,sars [38] cov,πανελλαδικά [35] η,εξέλιξη [35] εξέλιξη,των [31] πανελλαδικά,με [31] με,μια [31] μια,ματιά Top Word Pairs in Tweet in G5:
[83] sars,cov [82] scientists,found [78] found,glycyrrhizin [78] glycyrrhizin,effective [78] effective,against [78] against,sars [41] 2003,scientists [40] cov,early [40] early,2020 [21] 2020,2021 Top Word Pairs in Tweet in G6:
[90] sars,cov [14] mediated,infection [12] rossana38510044,mrandersoninneo [11] past_is_future,mjnanostretch [11] mjnanostretch,jfjulien [11] jfjulien,dmoulding [10] kesvelt,menachery [10] cleavage,site [9] furin,cleavage [8] moreover,sars Top Word Pairs in Tweet in G7:
[77] sars,cov [33] two,coronaviruses [33] coronaviruses,infection [33] infection,sars [33] cov,mers [33] mers,cov [33] cov,emerged [33] emerged,2002 [33] 2002,03 [33] 03,2012 Top Word Pairs in Tweet in G8:
[58] sars,cov [55] rejette,proposition [55] proposition,loi [55] loi,#vaccinationobligatoire [55] #vaccinationobligatoire,contre [55] contre,sars [55] cov,262 [55] 262,voix [55] voix,contre [54] contre,64 Top Word Pairs in Tweet in G9:
[7] sars,cov [4] cov,sars [3] josiejobee,farrishimo [3] nyob7714,bat92799926 [3] bat92799926,themarcam [3] themarcam,tampa_egret [3] tampa_egret,fredwibblington [3] fredwibblington,kathmarval [3] kathmarval,gtabiadon [3] gtabiadon,swedishchf Top Word Pairs in Tweet in G10:
[42] lasst,verunsichern [42] verunsichern,lasst [42] lasst,eure [42] eure,kinder [42] kinder,impfen [42] impfen,einzige [42] einzige,schutz [42] schutz,covid [42] covid,19 [41] danielalitzlba1,lasst 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: