The graph represents a network of 3,104 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 Monday, 20 December 2021 at 10:38 UTC.
The requested start date was Monday, 20 December 2021 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 11-day, 11-hour, 8-minute period from Monday, 06 December 2021 at 01:16 UTC to Friday, 17 December 2021 at 12:24 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 : 3104
Unique Edges : 2060
Edges With Duplicates : 2806
Total Edges : 4866
Number of Edge Types : 5
Tweet : 387
Replies to : 636
Mentions : 1259
Retweet : 1068
MentionsInRetweet : 1516
Self-Loops : 428
Reciprocated Vertex Pair Ratio : 0.010558583106267
Reciprocated Edge Ratio : 0.0208965284799461
Connected Components : 654
Single-Vertex Connected Components : 169
Maximum Vertices in a Connected Component : 237
Maximum Edges in a Connected Component : 641
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.177387
Graph Density : 0.00030804492493131
Modularity : 0.625658
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,104 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 Monday, 20 December 2021 at 10:38 UTC.
The requested start date was Monday, 20 December 2021 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 11-day, 11-hour, 8-minute period from Monday, 06 December 2021 at 01:16 UTC to Friday, 17 December 2021 at 12:24 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:
[2011] sars,cov [671] î,î [152] cov,virus [105] dodelijkheid,ifr [105] ifr,wetenschappelijk [105] wetenschappelijk,nooit [105] nooit,aangetoond [105] aangetoond,sars [105] virus,bron [105] bron,rivm Top Word Pairs in Tweet in G1:
[607] î,î [272] sars,cov [40] 12,2021 [31] î,îºî [30] îºî,î [30] îµî,î [29] î,îµî [24] η,εξέλιξη [24] εξέλιξη,των [24] των,νέων Top Word Pairs in Tweet in G2:
[82] cdc,dichiarato [82] dichiarato,non [82] non,esistono [82] esistono,studi [82] studi,persone [82] persone,abbiano [82] abbiano,contagiato [82] contagiato,altre [82] altre,vaccini [82] vaccini,non Top Word Pairs in Tweet in G3:
[123] sars,cov [105] dodelijkheid,ifr [105] ifr,wetenschappelijk [105] wetenschappelijk,nooit [105] nooit,aangetoond [105] aangetoond,sars [105] cov,virus [105] virus,bron [105] bron,rivm [105] rivm,nederlands Top Word Pairs in Tweet in G4:
[160] sars,cov [20] gerdosi,jbloom_lab [20] jbloom_lab,gadboit [20] gadboit,mchaelworobey [20] mchaelworobey,misrepresented [20] misrepresented,science [20] science,again [20] again,find [20] find,sars [20] cov,strains Top Word Pairs in Tweet in G5:
[26] sars,cov [5] notabur44771169,maryzinsidusco1 [5] maryzinsidusco1,blitzclipz1 [5] blitzclipz1,rchasekw [5] rchasekw,rwmalonemd [5] rwmalonemd,mrsmulton [5] mrsmulton,maximebernier [5] maximebernier,randpaul [4] 2007,2012 [4] immunized,ferrets Top Word Pairs in Tweet in G6:
[7] sars,cov [6] tierrahenson,burgerlab12 [6] burgerlab12,antiva_must_go [6] antiva_must_go,temple_surly [6] temple_surly,lwsmith15 [6] respiratory,syndrome [6] syndrome,coronavirus [4] barryjohnreid21,cappsie [4] cappsie,frugalsues [4] frugalsues,tierrahenson Top Word Pairs in Tweet in G7:
[8] anonimaktivista,anonylyzer13 [8] anonylyzer13,kelvinw40709444 [8] kelvinw40709444,nobulart [8] nobulart,followthylead [8] followthylead,krystianmarek11 [8] krystianmarek11,magickalike [8] magickalike,stlhandyman [7] dymchwel,anonimaktivista [4] stlhandyman,genei154 [3] sars,cov Top Word Pairs in Tweet in G8:
[54] sars,cov [39] scheint,wirklich [39] wirklich,gewaltig [39] gewaltig,bitte [39] bitte,bleibt [39] bleibt,ruhig [39] ruhig,schaut [39] schaut,eure [39] eure,liebsten [39] liebsten,jeder Top Word Pairs in Tweet in G9:
[69] sars,cov [50] malcom1453xxx,✠[29] cov,korona [29] izole,edilemedi [29] edilemedi,swab [29] swab,testlerinin [29] ve,95 [29] 95,pozitifler [27] âœ,œsars [27] œsars,cov Top Word Pairs in Tweet in G10:
[49] timodelpino,covid [49] gripe,catarro [49] catarro,común [49] sars,cov [48] covid,gripe [48] común,sars [48] cov,pcr [48] pcr,distingue [48] distingue,gran [47] francis80017482,timodelpino Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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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:
Top Mentioned in G4:
Top Mentioned in G5:
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: