The graph represents a network of 4,012 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 Tuesday, 19 January 2021 at 11:13 UTC.
The requested start date was Tuesday, 19 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, 27-minute period from Tuesday, 05 January 2021 at 01:10 UTC to Monday, 18 January 2021 at 13:38 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 : 4012
Unique Edges : 2900
Edges With Duplicates : 3089
Total Edges : 5989
Number of Edge Types : 5
Retweet : 1232
MentionsInRetweet : 1750
Replies to : 887
Mentions : 1371
Tweet : 749
Self-Loops : 792
Reciprocated Vertex Pair Ratio : 0.0108093126385809
Reciprocated Edge Ratio : 0.0213874417329312
Connected Components : 980
Single-Vertex Connected Components : 359
Maximum Vertices in a Connected Component : 822
Maximum Edges in a Connected Component : 1922
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.777159
Graph Density : 0.000226632493444623
Modularity : 0.633361
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,012 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 Tuesday, 19 January 2021 at 11:13 UTC.
The requested start date was Tuesday, 19 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, 27-minute period from Tuesday, 05 January 2021 at 01:10 UTC to Monday, 18 January 2021 at 13:38 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:
[2889] sars,cov [398] î,î [226] covid,19 [180] cov,sars [164] mers,cov [115] sars,coronavirus [109] cov,mers [104] going,sars [104] coronavirus,excellent [104] excellent,piece Top Word Pairs in Tweet in G1:
[564] sars,cov [317] î,î [72] αναλυτικοί,πίνακες [70] νέες,μολύνσεις [69] μολύνσεις,sars [67] cov,αναλυτικοί [33] mers,cov [31] covid,19 [29] î,îºî [28] cov,sars Top Word Pairs in Tweet in G2:
[183] sars,cov [107] sars,coronavirus [104] going,sars [104] coronavirus,excellent [104] excellent,piece [104] piece,ryan_mac_phd [104] ryan_mac_phd,rodneyrohde [104] rodneyrohde,oft [104] oft,ignored [104] ignored,topic Top Word Pairs in Tweet in G3:
[185] sars,cov [83] 90,52 [78] cov,protein [47] robinmonotti,sars [44] sequence,analysis [44] analysis,showed [44] showed,90 [44] 52,identity [44] identity,sars [44] cov,molecular Top Word Pairs in Tweet in G4:
[90] trece,avisándolo [90] avisándolo,#covid19 [90] #covid19,presencia [90] presencia,gran [90] gran,reservorio [90] reservorio,virus [90] virus,tipo [90] tipo,sars [90] sars,cov [90] cov,murciélagos Top Word Pairs in Tweet in G5:
[52] sars,cov [24] miembro,especie [23] especie,virus [23] virus,propiedades [23] propiedades,sustancialmente [23] sustancialmente,diferentes [23] diferentes,probablemente [23] probablemente,origen [22] cepa,miembro [21] 10,cepa Top Word Pairs in Tweet in G6:
[9] sars,cov [2] random_dragon,enricbernedaben [2] enricbernedaben,yeyete2000 [2] yeyete2000,ej_molina_c [2] ej_molina_c,gemmspp [2] gemmspp,andresj777 [2] andresj777,jbarrios107 [2] jbarrios107,nccarmon [2] nccarmon,mariaje45669909 [2] 90,52 Top Word Pairs in Tweet in G7:
[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 Word Pairs in Tweet in G8:
[24] sars,cov [8] 17,years [6] cov,cell [5] gt,17 [4] drhoenderkamp,sars [4] cell,gt [4] time,start [4] start,quarantine [4] quarantine,sars [3] cell,response Top Word Pairs in Tweet in G9:
[73] sars,cov [34] covid,19 [32] gamma,coronavirus [32] coronavirus,affects [32] affects,chickens [32] chickens,beta [32] beta,coronavirus [32] coronavirus,sars [32] cov,causes [32] causes,covid Top Word Pairs in Tweet in G10:
[21] sars,cov [14] kantonaargau,challenge [14] challenge,mice [14] mice,given [14] given,vaccines [14] vaccines,led [14] led,occurrence [14] occurrence,th2 [14] th2,type [14] type,immunopathology Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: