The graph represents a network of 5,836 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 12:10 UTC.
The tweets in the network were tweeted over the 1123-day, 2-hour, 52-minute period from Thursday, 06 February 2020 at 22:46 UTC to Monday, 06 March 2023 at 01:38 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 : 5836
Unique Edges : 3136
Edges With Duplicates : 10933
Total Edges : 14069
Number of Edge Types : 9
Retweet : 3028
MentionsInRetweet : 3559
Replies to : 1644
MentionsInReplyTo : 4420
Tweet : 919
Quote : 102
Mentions : 332
MentionsInQuoteReply : 30
MentionsInQuote : 35
Self-Loops : 1370
Reciprocated Vertex Pair Ratio : 0.0401276789785682
Reciprocated Edge Ratio : 0.077159140727751
Connected Components : 730
Single-Vertex Connected Components : 302
Maximum Vertices in a Connected Component : 3587
Maximum Edges in a Connected Component : 10036
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.599222
Graph Density : 0.000200951103953654
Modularity : 0.475217
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,836 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 12:10 UTC.
The tweets in the network were tweeted over the 1123-day, 2-hour, 52-minute period from Thursday, 06 February 2020 at 22:46 UTC to Monday, 06 March 2023 at 01:38 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:
[2398] sars,ncov [1129] genetic,code [1129] 5',caps [1129] permanent,installation [1129] nucleoside,3' [1129] foreign,genetic [1129] synthetic,nucleoside [1129] protein,ubiquitous [1129] 3',5' [1129] caps,permanent Top Word Pairs in Tweet in G1:
[1085] code,synthetic [1085] nucleoside,3' [1085] genetic,code [1085] permanent,installation [1085] caps,permanent [1085] foreign,genetic [1085] protein,ubiquitous [1085] 3',5' [1085] synthetic,nucleoside [1085] installation,protein Top Word Pairs in Tweet in G2:
[208] sad,things [208] making,very [208] evidence,piling [208] very,sad [208] piling,making [208] each,stand [208] data,evidence [208] things,each [207] stand,fro [207] 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 [51] suppressor,protein [47] subunit,sars [47] s2,subunit [47] spike,protein [46] tumor,suppressor [44] p53,brca [43] covid,19 [42] silico,study [42] protein,p53 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] thedeluxesoyboy,baltinomore2016 Top Word Pairs in Tweet in G6:
[151] sars,ncov [128] unité,s2 [128] ncov,interagit [126] suppresseurs,tumeurs [126] interagit,fortement [126] s2,protéine [126] spike,sars [126] fortement,gènes [126] tumeurs,p53 [126] gènes,suppresseurs Top Word Pairs in Tweet in G7:
[92] 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:
[103] sars,ncov [103] 打つ,罹る [103] ncov,2には [103] プログラム死,アポトーシス [103] し,神経細胞の [103] アポトーシス,を誘導していた [103] 2には,凝集すると強い細胞毒性のあるアミロイドを高速で [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] 神経を壊すよう,プログラムされている [103] 神経細胞が殺される,打つ 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] bucklynn123,swordthechemist [2] avengerclitoris,philipmarks87 [2] roguetrader842,plasticdoe [2] runhack,jkellyca [2] veritasever,arbiter04032000 [2] monstatofu,roguetrader842 [2] jestrbob,bucklynn123 [2] jamesdieckhoff,lithiumca 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: