The graph represents a network of 5,884 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 11:17 UTC.
The tweets in the network were tweeted over the 1070-day, 20-hour, 2-minute period from Thursday, 06 February 2020 at 22:46 UTC to Thursday, 12 January 2023 at 18:48 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 : 5884
Unique Edges : 3144
Edges With Duplicates : 10972
Total Edges : 14116
Number of Edge Types : 9
Retweet : 3057
MentionsInRetweet : 3561
Quote : 98
MentionsInReplyTo : 4473
Replies to : 1620
Tweet : 904
Mentions : 334
MentionsInQuoteReply : 28
MentionsInQuote : 41
Self-Loops : 1361
Reciprocated Vertex Pair Ratio : 0.0388964269561285
Reciprocated Edge Ratio : 0.0748802786242926
Connected Components : 738
Single-Vertex Connected Components : 301
Maximum Vertices in a Connected Component : 3546
Maximum Edges in a Connected Component : 9947
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.598505
Graph Density : 0.000199072255688856
Modularity : 0.477467
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,884 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 11:17 UTC.
The tweets in the network were tweeted over the 1070-day, 20-hour, 2-minute period from Thursday, 06 February 2020 at 22:46 UTC to Thursday, 12 January 2023 at 18:48 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:
[2375] sars,ncov [1154] genetic,code [1154] 5',caps [1154] permanent,installation [1154] nucleoside,3' [1154] foreign,genetic [1154] synthetic,nucleoside [1154] protein,ubiquitous [1154] 3',5' [1154] caps,permanent Top Word Pairs in Tweet in G1:
[1110] code,synthetic [1110] nucleoside,3' [1110] genetic,code [1110] permanent,installation [1110] caps,permanent [1110] foreign,genetic [1110] protein,ubiquitous [1110] 3',5' [1110] synthetic,nucleoside [1110] 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:
[98] 20,21 [92] 19,20 [63] sars_ncov_2,19 [59] covid,19 [49] south,africa [45] corona,virus [45] sars,ncov [44] aka,covid [29] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G4:
[269] sars,ncov [45] covid,19 [40] p53,brca [39] spike,protein [38] s2,subunit [38] protein,p53 [38] subunit,sars [37] interacts,tumor [37] tumor,suppressor [37] ncov,interacts Top Word Pairs in Tweet in G5:
[205] sars,ncov [69] covid,19 [39] 19,sars [23] batshit,conspiracy [22] influenza,orthomyxoviridae [22] conspiracy,theories [15] virus,sars [14] different,virus [12] ncov,19 [11] thedeluxesoyboy,baltinomore2016 Top Word Pairs in Tweet in G6:
[148] sars,ncov [126] unité,s2 [126] ncov,interagit [124] s2,protéine [124] protéine,spike [124] gènes,suppresseurs [124] interagit,fortement [124] suppresseurs,tumeurs [124] spike,sars [124] tumeurs,p53 Top Word Pairs in Tweet in G7:
[94] 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:
[102] sars,ncov [102] 打つ,罹る [102] ncov,2には [102] プログラム死,アポトーシス [102] し,神経細胞の [102] アポトーシス,を誘導していた [102] 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 [102] 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 [102] 神経を壊すよう,プログラムされている [102] 神経細胞が殺される,打つ Top Word Pairs in Tweet in G9:
[105] few,years [105] observe,last [105] last,few [105] saw,many [105] years,saw [103] parveenkaswan,'one [103] 'one,health' [77] many,virus [76] tomorrows,#worldenvironmentday [76] #worldenvironmentday,observe Top Word Pairs in Tweet in G10:
[106] sars,ncov [8] water,droplet [7] microns,sars [7] 12,microns [7] covid,19 [6] elimd101,esthercrawford [6] natural,immunity [6] esthercrawford,twitterblue [5] immuno,response [5] 05,12 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: