The graph represents a network of 5,882 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 11:03 UTC.
The tweets in the network were tweeted over the 1066-day, 21-hour, 28-minute period from Thursday, 06 February 2020 at 22:46 UTC to Sunday, 08 January 2023 at 20:14 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 : 5882
Unique Edges : 3149
Edges With Duplicates : 10954
Total Edges : 14103
Number of Edge Types : 9
Retweet : 3050
MentionsInRetweet : 3551
Quote : 99
MentionsInReplyTo : 4472
Replies to : 1618
Tweet : 906
Mentions : 336
MentionsInQuoteReply : 28
MentionsInQuote : 43
Self-Loops : 1362
Reciprocated Vertex Pair Ratio : 0.0392334389618228
Reciprocated Edge Ratio : 0.0755045738347611
Connected Components : 736
Single-Vertex Connected Components : 298
Maximum Vertices in a Connected Component : 3533
Maximum Edges in a Connected Component : 9897
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.726896
Graph Density : 0.000199092033942373
Modularity : 0.478086
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,882 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 11:03 UTC.
The tweets in the network were tweeted over the 1066-day, 21-hour, 28-minute period from Thursday, 06 February 2020 at 22:46 UTC to Sunday, 08 January 2023 at 20:14 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:
[2372] sars,ncov [1155] genetic,code [1155] 5',caps [1155] permanent,installation [1155] nucleoside,3' [1155] foreign,genetic [1155] synthetic,nucleoside [1155] protein,ubiquitous [1155] 3',5' [1155] caps,permanent Top Word Pairs in Tweet in G1:
[1111] code,synthetic [1111] nucleoside,3' [1111] genetic,code [1111] permanent,installation [1111] caps,permanent [1111] foreign,genetic [1111] protein,ubiquitous [1111] 3',5' [1111] synthetic,nucleoside [1111] installation,protein Top Word Pairs in Tweet in G2:
[210] sad,things [210] making,very [210] evidence,piling [210] very,sad [210] piling,making [210] each,stand [210] data,evidence [210] things,each [209] stand,fro [209] jesslovesmjk,data Top Word Pairs in Tweet in G3:
[98] 20,21 [92] 19,20 [63] sars_ncov_2,19 [59] covid,19 [49] south,africa [45] corona,virus [45] sars,ncov [44] aka,covid [29] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G4:
[268] sars,ncov [45] covid,19 [40] p53,brca [39] spike,protein [38] subunit,sars [38] protein,p53 [38] s2,subunit [37] suppressor,protein [37] tumor,suppressor [37] ncov,interacts Top Word Pairs in Tweet in G5:
[206] sars,ncov [69] covid,19 [39] 19,sars [23] batshit,conspiracy [22] conspiracy,theories [22] influenza,orthomyxoviridae [15] virus,sars [14] different,virus [12] ncov,19 [11] baltinomore2016,globeandmail Top Word Pairs in Tweet in G6:
[148] sars,ncov [126] unité,s2 [126] ncov,interagit [124] suppresseurs,tumeurs [124] interagit,fortement [124] s2,protéine [124] spike,sars [124] fortement,gènes [124] tumeurs,p53 [124] gènes,suppresseurs Top Word Pairs in Tweet in G7:
[94] sars,ncov [48] one,two [46] same,sars [46] saying,flu [46] keep,saying [46] flu,one [46] dgbassani,same [46] ncov,keep [45] two,immunod [45] deepwokeagent,dgbassani Top Word Pairs in Tweet in G8:
[102] アポトーシス,を誘導していた [102] ncov,2には [102] nature,新たな発見 [102] プログラム死,アポトーシス [102] sars,ncov [102] 凝集すると強い細胞毒性のあるアミロイドを高速で,凝集 [102] 打つ,罹る [102] 凝集,し [102] 神経を壊すよう,プログラムされている [102] 新たな発見,sars Top Word Pairs in Tweet in G9:
[105] few,years [105] observe,last [105] last,few [105] saw,many [105] years,saw [103] parveenkaswan,'one [103] 'one,health' [77] many,virus [76] tomorrows,#worldenvironmentday [76] #worldenvironmentday,observe Top Word Pairs in Tweet in G10:
[104] sars,ncov [8] water,droplet [7] covid,19 [6] elimd101,esthercrawford [6] natural,immunity [6] microns,sars [6] 12,microns [6] esthercrawford,twitterblue [5] stevew928,elimd101 [5] contract,sars Top Replied-To in Entire Graph:
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 G7:
Top Replied-To in G9:
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: