The graph represents a network of 4,025 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 Friday, 15 January 2021 at 10:40 UTC.
The requested start date was Friday, 15 January 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 13-day, 12-hour, 47-minute period from Friday, 01 January 2021 at 01:01 UTC to Thursday, 14 January 2021 at 13:49 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 : 4025
Unique Edges : 2801
Edges With Duplicates : 3301
Total Edges : 6102
Number of Edge Types : 5
Replies to : 901
Mentions : 1462
Tweet : 683
Retweet : 1274
MentionsInRetweet : 1782
Self-Loops : 730
Reciprocated Vertex Pair Ratio : 0.0104309634916278
Reciprocated Edge Ratio : 0.0206465634338495
Connected Components : 926
Single-Vertex Connected Components : 311
Maximum Vertices in a Connected Component : 1085
Maximum Edges in a Connected Component : 2201
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.276034
Graph Density : 0.000227269920847585
Modularity : 0.626473
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,025 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 Friday, 15 January 2021 at 10:40 UTC.
The requested start date was Friday, 15 January 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 13-day, 12-hour, 47-minute period from Friday, 01 January 2021 at 01:01 UTC to Thursday, 14 January 2021 at 13:49 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:
[2910] sars,cov [765] î,î [229] cov,sars [211] covid,19 [168] mers,cov [101] cov,mers [79] th2,type [78] vaccines,led [78] led,occurrence [78] type,immunopathology Top Word Pairs in Tweet in G1:
[684] î,î [502] sars,cov [61] î,îºî [50] î,îµï [50] îµï,î [48] îºî,î [47] αναλυτικοί,πίνακες [44] î,îºîµï [43] νέες,μολύνσεις [42] μολύνσεις,sars Top Word Pairs in Tweet in G2:
[201] sars,cov [16] mouse,adapted [15] adapted,sars [13] chimeric,virus [12] generated,characterized [12] characterized,chimeric [11] seamless,assembly [11] assembly,called [11] called,seeâ [11] seeâ,sites Top Word Pairs in Tweet in G3:
[105] sars,cov [46] covid,19 [43] causes,covid [43] 19,humans [43] humans,sars [42] gamma,coronavirus [42] coronavirus,affects [42] affects,chickens [42] chickens,beta [42] beta,coronavirus Top Word Pairs in Tweet in G4:
[48] sars,cov [15] never,isolated [12] sars,coronavirus [10] immunization,sars [10] coronavirus,vaccines [10] vaccines,leads [8] leads,pulmonary [7] isolated,sars [7] pulmonary,immunopathology [7] immunopathology,challenge Top Word Pairs in Tweet in G5:
[163] sars,cov [73] 90,52 [68] cov,protein [40] robinmonotti,sars [39] sequence,analysis [39] analysis,showed [39] showed,90 [39] 52,identity [39] identity,sars [39] cov,molecular Top Word Pairs in Tweet in G6:
[81] î,î [60] challenge,mice [60] mice,given [60] given,vaccines [60] vaccines,led [60] led,occurrence [60] occurrence,th2 [60] th2,type [60] type,immunopathology [58] kantonaargau,challenge Top Word Pairs in Tweet in G7:
[74] sars,cov [27] cov,sars [26] cepa,miembro [26] miembro,especie [25] especie,virus [23] cov,cepas [22] virus,propiedades [22] propiedades,sustancialmente [22] sustancialmente,diferentes [22] diferentes,probablemente Top Word Pairs in Tweet in G8:
[22] sars,cov [8] 17,years [6] cov,cell [5] gt,17 [4] drhoenderkamp,sars [4] cell,gt [3] cell,response [3] censorship,typically [3] typically,preceded [3] preceded,disinformation Top Word Pairs in Tweet in G9:
[47] boris,hosp [47] hosp,admissions [47] admissions,33 [47] 33,deaths [47] deaths,20 [47] 20,last [47] last,week [47] week,covid [47] covid,jab [47] jab,roll Top Word Pairs in Tweet in G10:
[63] sars,cov [62] nasalferón,gotas [62] gotas,nasales [62] nasales,cuba [62] cuba,enfrentar [62] enfrentar,coronavirus [62] coronavirus,evita [62] evita,replique [62] replique,sars [62] cov,cubanos Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: