The graph represents a network of 5,888 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 11:16 UTC.
The tweets in the network were tweeted over the 1097-day, 19-hour, 44-minute period from Thursday, 06 February 2020 at 22:46 UTC to Wednesday, 08 February 2023 at 18:30 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 : 5888
Unique Edges : 3158
Edges With Duplicates : 11028
Total Edges : 14186
Number of Edge Types : 9
Retweet : 3027
MentionsInRetweet : 3543
Replies to : 1664
MentionsInReplyTo : 4525
Tweet : 909
Quote : 103
MentionsInQuoteReply : 30
Mentions : 342
MentionsInQuote : 43
Self-Loops : 1371
Reciprocated Vertex Pair Ratio : 0.0394518897756362
Reciprocated Edge Ratio : 0.0759090250615674
Connected Components : 735
Single-Vertex Connected Components : 299
Maximum Vertices in a Connected Component : 3555
Maximum Edges in a Connected Component : 9972
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.593339
Graph Density : 0.000199148039896308
Modularity : 0.475779
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,888 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 11:16 UTC.
The tweets in the network were tweeted over the 1097-day, 19-hour, 44-minute period from Thursday, 06 February 2020 at 22:46 UTC to Wednesday, 08 February 2023 at 18:30 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:
[2362] sars,ncov [1133] genetic,code [1133] 5',caps [1133] permanent,installation [1133] nucleoside,3' [1133] foreign,genetic [1133] synthetic,nucleoside [1133] protein,ubiquitous [1133] 3',5' [1133] caps,permanent Top Word Pairs in Tweet in G1:
[1090] code,synthetic [1090] nucleoside,3' [1090] genetic,code [1090] permanent,installation [1090] caps,permanent [1090] foreign,genetic [1090] protein,ubiquitous [1090] 3',5' [1090] synthetic,nucleoside [1090] installation,protein Top Word Pairs in Tweet in G2:
[209] sad,things [209] making,very [209] evidence,piling [209] very,sad [209] piling,making [209] each,stand [209] data,evidence [209] things,each [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 [50] sars,ncov [48] aka,covid [47] corona,virus [30] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G4:
[268] 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:
[149] 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 [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:
[107] sars,ncov [8] water,droplet [7] microns,sars [7] 12,microns [6] elimd101,esthercrawford [6] natural,immunity [6] esthercrawford,twitterblue [5] immuno,response [5] 05,12 [5] stevew928,elimd101 Top Word Pairs in Tweet in G10:
[7] sars,ncov [3] covid,19 [2] bucklynn123,swordthechemist [2] roguetrader842,plasticdoe [2] runhack,jkellyca [2] veritasever,arbiter04032000 [2] monstatofu,roguetrader842 [2] jestrbob,bucklynn123 [2] jamesdieckhoff,lithiumca [2] drbrignall,ufgator198589 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: