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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 10:17 UTC.
The tweets in the network were tweeted over the 1136-day, 1-hour, 2-minute period from Thursday, 06 February 2020 at 22:46 UTC to Saturday, 18 March 2023 at 23:49 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 : 10932
Total Edges : 14059
Number of Edge Types : 9
Retweet : 3027
MentionsInRetweet : 3551
Replies to : 1645
MentionsInReplyTo : 4413
Tweet : 918
Quote : 104
MentionsInQuoteReply : 35
Mentions : 331
MentionsInQuote : 35
Self-Loops : 1376
Reciprocated Vertex Pair Ratio : 0.0395738203957382
Reciprocated Edge Ratio : 0.0761346998535871
Connected Components : 727
Single-Vertex Connected Components : 302
Maximum Vertices in a Connected Component : 3590
Maximum Edges in a Connected Component : 10049
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.591869
Graph Density : 0.000200982430369004
Modularity : 0.474855
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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 10:17 UTC.
The tweets in the network were tweeted over the 1136-day, 1-hour, 2-minute period from Thursday, 06 February 2020 at 22:46 UTC to Saturday, 18 March 2023 at 23:49 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:
[2399] 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:
[210] making,very [210] evidence,piling [210] things,each [210] very,sad [210] data,evidence [210] each,stand [210] sad,things [210] piling,making [209] stand,fro [209] 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] s2,subunit [46] subunit,sars [45] tumor,suppressor [43] covid,19 [43] p53,brca [41] silico,study [41] 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] baltinomore2016,globeandmail Top Word Pairs in Tweet in G6:
[150] sars,ncov [127] unité,s2 [127] ncov,interagit [125] spike,sars [125] gènes,suppresseurs [125] fortement,gènes [125] suppresseurs,tumeurs [125] s2,protéine [125] tumeurs,p53 [125] interagit,fortement 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:
[104] アポトーシス,を誘導していた [104] ncov,2には [104] nature,新たな発見 [104] プログラム死,アポトーシス [104] sars,ncov [104] 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 [104] 打つ,罹る [104] 凝集,し [104] 神経を壊すよう,プログラムされている [104] 新たな発見,sars Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[101] 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 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: