The graph represents a network of 6,042 Twitter users whose recent tweets contained "SARS-NCOV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 12:33 UTC.
The tweets in the network were tweeted over the 1057-day, 15-hour, 53-minute period from Thursday, 06 February 2020 at 22:46 UTC to Friday, 30 December 2022 at 14:39 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6042
Unique Edges : 3779
Edges With Duplicates : 10729
Total Edges : 14508
Number of Edge Types : 9
Replies to : 1941
MentionsInReplyTo : 5129
Retweet : 2564
MentionsInRetweet : 3102
Tweet : 1136
Quote : 141
Mentions : 406
MentionsInQuoteReply : 33
MentionsInQuote : 56
Self-Loops : 1737
Reciprocated Vertex Pair Ratio : 0.0462159736763386
Reciprocated Edge Ratio : 0.088348820586133
Connected Components : 981
Single-Vertex Connected Components : 391
Maximum Vertices in a Connected Component : 2654
Maximum Edges in a Connected Component : 8320
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.49068
Graph Density : 0.000191645295271016
Modularity : 0.485962
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,042 Twitter users whose recent tweets contained "SARS-NCOV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 12:33 UTC.
The tweets in the network were tweeted over the 1057-day, 15-hour, 53-minute period from Thursday, 06 February 2020 at 22:46 UTC to Friday, 30 December 2022 at 14:39 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : SARS-NCOV
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:
[3458] sars,ncov [807] covid,19 [219] ncov,covid [217] very,sad [216] each,stand [216] things,each [216] piling,making [216] making,very [216] sad,things [216] evidence,piling Top Word Pairs in Tweet in G1:
[355] sars,ncov [67] covid,19 [40] p53,brca [38] subunit,sars [38] protein,p53 [38] s2,subunit [37] suppressor,protein [37] tumor,suppressor [37] ncov,interacts [37] interacts,tumor Top Word Pairs in Tweet in G2:
[98] 20,21 [92] 19,20 [63] sars_ncov_2,19 [63] covid,19 [61] sars,ncov [49] south,africa [45] corona,virus [44] aka,covid [29] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G3:
[220] sars,ncov [71] covid,19 [39] 19,sars [22] batshit,conspiracy [22] influenza,orthomyxoviridae [21] conspiracy,theories [17] virus,sars [15] ncov,19 [14] different,virus [12] ncov,covid Top Word Pairs in Tweet in G4:
[209] sad,things [209] making,very [209] evidence,piling [209] very,sad [209] piling,making [209] each,stand [209] data,evidence [209] things,each [208] stand,fro [208] jesslovesmjk,data Top Word Pairs in Tweet in G5:
[232] sars,ncov [129] ncov,genomes [61] ncov,#genomes [55] #india,infographic [55] infographic,bani_jolly [55] thanks,submitted [55] #diversity,sars [55] submitted,sequences [55] genomes,#india [55] bani_jolly,thanks Top Word Pairs in Tweet in G6:
[147] sars,ncov [127] unité,s2 [127] ncov,interagit [125] fortement,gènes [125] interagit,fortement [125] gènes,suppresseurs [125] suppresseurs,tumeurs [125] tumeurs,p53 [125] protéine,spike [125] s2,protéine Top Word Pairs in Tweet in G7:
[141] sars,ncov [141] h1n1pmd09,swine [141] 469,died [141] million,americans [141] year,h1n1pmd09 [141] americans,12 [141] flu,infected [141] contrast,sars [141] covid,19 [141] infected,61 Top Word Pairs in Tweet in G8:
[124] sars,ncov [9] covid,19 [8] water,droplet [7] rjerala,sars [7] ncov,probably [7] recombinant,virus [7] probably,novel [7] sars,related [7] virus,closest [7] horseshoe,bats Top Word Pairs in Tweet in G9:
[108] sars,ncov [60] ncov,cases [39] otvnews,#breaking [33] 24,hours [31] total,sars [29] last,24 [28] ganjam,district [27] #covid19,cases [25] active,cases [25] #odisha's,total Top Word Pairs in Tweet in G10:
[105] observe,last [105] years,saw [105] few,years [105] saw,many [105] last,few [103] parveenkaswan,'one [103] 'one,health' [77] many,virus [76] theme,tomorrows [76] tomorrows,#worldenvironmentday Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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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: