The graph represents a network of 5,893 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 11:17 UTC.
The tweets in the network were tweeted over the 1100-day, 14-hour, 8-minute period from Thursday, 06 February 2020 at 22:46 UTC to Saturday, 11 February 2023 at 12:54 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 : 5893
Unique Edges : 3176
Edges With Duplicates : 11030
Total Edges : 14206
Number of Edge Types : 9
Retweet : 3026
MentionsInRetweet : 3546
Replies to : 1667
MentionsInReplyTo : 4531
Tweet : 913
Quote : 104
MentionsInQuoteReply : 30
Mentions : 346
MentionsInQuote : 43
Self-Loops : 1375
Reciprocated Vertex Pair Ratio : 0.0395250976856026
Reciprocated Edge Ratio : 0.0760445279745554
Connected Components : 737
Single-Vertex Connected Components : 298
Maximum Vertices in a Connected Component : 3557
Maximum Edges in a Connected Component : 9992
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.592736
Graph Density : 0.000199213422347777
Modularity : 0.476154
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,893 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 11:17 UTC.
The tweets in the network were tweeted over the 1100-day, 14-hour, 8-minute period from Thursday, 06 February 2020 at 22:46 UTC to Saturday, 11 February 2023 at 12:54 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:
[2363] sars,ncov [1135] genetic,code [1135] 5',caps [1135] permanent,installation [1135] nucleoside,3' [1135] foreign,genetic [1135] synthetic,nucleoside [1135] protein,ubiquitous [1135] 3',5' [1135] caps,permanent Top Word Pairs in Tweet in G1:
[1092] code,synthetic [1092] nucleoside,3' [1092] genetic,code [1092] permanent,installation [1092] caps,permanent [1092] foreign,genetic [1092] protein,ubiquitous [1092] 3',5' [1092] synthetic,nucleoside [1092] installation,protein Top Word Pairs in Tweet in G2:
[208] making,very [208] evidence,piling [208] things,each [208] very,sad [208] data,evidence [208] each,stand [208] sad,things [208] piling,making [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 [50] sars,ncov [48] aka,covid [47] corona,virus [30] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G4:
[266] sars,ncov [45] covid,19 [41] p53,brca [39] subunit,sars [39] protein,p53 [39] s2,subunit [38] suppressor,protein [38] tumor,suppressor [38] ncov,interacts [38] interacts,tumor Top Word Pairs in Tweet in G5:
[203] sars,ncov [67] covid,19 [38] 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:
[150] sars,ncov [127] unité,s2 [127] ncov,interagit [125] s2,protéine [125] protéine,spike [125] gènes,suppresseurs [125] interagit,fortement [125] suppresseurs,tumeurs [125] spike,sars [125] tumeurs,p53 Top Word Pairs in Tweet in G7:
[93] sars,ncov [48] one,two [46] saying,flu [46] ncov,keep [46] keep,saying [46] dgbassani,same [46] same,sars [46] flu,one [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:
[107] sars,ncov [8] water,droplet [7] microns,sars [7] 12,microns [6] elimd101,esthercrawford [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] monstatofu,roguetrader842 [2] bigherm3953,susan_welch7 [2] roguetrader842,plasticdoe [2] jestrbob,bucklynn123 [2] crabb_vicki,cyn9383johnson [2] ufgator198589,veritasever 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: