The graph represents a network of 5,830 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 11:32 UTC.
The tweets in the network were tweeted over the 1133-day, 5-hour, 5-minute period from Thursday, 06 February 2020 at 22:46 UTC to Thursday, 16 March 2023 at 03:51 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 : 5830
Unique Edges : 3127
Edges With Duplicates : 10930
Total Edges : 14057
Number of Edge Types : 9
Retweet : 3028
MentionsInRetweet : 3553
Replies to : 1643
MentionsInReplyTo : 4411
Tweet : 917
Quote : 104
MentionsInQuoteReply : 35
Mentions : 331
MentionsInQuote : 35
Self-Loops : 1375
Reciprocated Vertex Pair Ratio : 0.0395798447252245
Reciprocated Edge Ratio : 0.0761458485869088
Connected Components : 727
Single-Vertex Connected Components : 302
Maximum Vertices in a Connected Component : 3590
Maximum Edges in a Connected Component : 10047
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.595248
Graph Density : 0.000200953003951674
Modularity : 0.474897
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,830 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 11:32 UTC.
The tweets in the network were tweeted over the 1133-day, 5-hour, 5-minute period from Thursday, 06 February 2020 at 22:46 UTC to Thursday, 16 March 2023 at 03:51 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:
[2397] sars,ncov [1127] genetic,code [1127] 5',caps [1127] permanent,installation [1127] nucleoside,3' [1127] foreign,genetic [1127] synthetic,nucleoside [1127] protein,ubiquitous [1127] 3',5' [1127] caps,permanent Top Word Pairs in Tweet in G1:
[1083] code,synthetic [1083] nucleoside,3' [1083] genetic,code [1083] permanent,installation [1083] caps,permanent [1083] foreign,genetic [1083] protein,ubiquitous [1083] 3',5' [1083] synthetic,nucleoside [1083] installation,protein Top Word Pairs in Tweet in G2:
[209] making,very [209] evidence,piling [209] things,each [209] very,sad [209] data,evidence [209] each,stand [209] sad,things [209] piling,making [208] stand,fro [208] jesslovesmjk,data Top Word Pairs in Tweet in G3:
[99] 20,21 [93] 19,20 [63] sars_ncov_2,19 [62] south,africa [60] covid,19 [48] sars,ncov [48] aka,covid [47] corona,virus [30] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G4:
[281] sars,ncov [50] suppressor,protein [47] spike,protein [46] subunit,sars [46] s2,subunit [45] tumor,suppressor [43] p53,brca [43] covid,19 [41] protein,p53 [41] silico,study Top Word Pairs in Tweet in G5:
[205] sars,ncov [66] covid,19 [38] 19,sars [24] batshit,conspiracy [23] conspiracy,theories [22] influenza,orthomyxoviridae [16] virus,sars [14] different,virus [12] ncov,19 [11] baltinomore2016,globeandmail Top Word Pairs in Tweet in G6:
[150] sars,ncov [127] unité,s2 [127] ncov,interagit [125] suppresseurs,tumeurs [125] interagit,fortement [125] s2,protéine [125] spike,sars [125] fortement,gènes [125] tumeurs,p53 [125] gènes,suppresseurs Top Word Pairs in Tweet in G7:
[93] sars,ncov [49] one,two [47] same,sars [47] saying,flu [47] keep,saying [47] flu,one [47] dgbassani,same [47] ncov,keep [46] two,immunod [46] deepwokeagent,dgbassani Top Word Pairs in Tweet in G8:
[103] アポトーシス,を誘導していた [103] ncov,2には [103] nature,新たな発見 [103] プログラム死,アポトーシス [103] sars,ncov [103] 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 [103] 打つ,罹る [103] 凝集,し [103] 神経を壊すよう,プログラムされている [103] 新たな発見,sars Top Word Pairs in Tweet in G9:
[105] sars,ncov [7] microns,sars [7] 12,microns [6] elimd101,esthercrawford [6] water,droplet [6] esthercrawford,twitterblue [6] natural,immunity [5] 05,12 [5] immuno,response [5] stevew928,elimd101 Top Word Pairs in Tweet in G10:
[7] sars,ncov [3] covid,19 [2] drbrignall,ufgator198589 [2] serious,disease [2] avengerclitoris,philipmarks87 [2] monstatofu,roguetrader842 [2] bigherm3953,susan_welch7 [2] roguetrader842,plasticdoe [2] jestrbob,bucklynn123 [2] crabb_vicki,cyn9383johnson 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: