https://twitter.com/Williams_T_C/status/1345708240382918658 OR "could a non-segmented RNA virus rapidly evolve to evade a polyclonal immune response, rendering a vaccine ineffective?", Twitter, 1/3/2021 7:01:57 PM, 244725


FAQ | Problem?

https://twitter.com/Williams_T_C/status/1345708240382918658 OR "could a non-segmented RNA virus rapi
https://twitter.com/Williams_T_C/status/1345708240382918658 OR "could a non-segmented RNA virus rapi
From:
scotpublichealth
Uploaded on:
January 03, 2021
Short Description:
https://twitter.com/Williams_T_C/status/1345708240382918658 OR "could a non-segmented RNA virus rapidly evolve to evade a polyclonal immune response, rendering a vaccine ineffective?" via NodeXL https://bit.ly/3pPrCbz
@williams_t_c
@ewanbirney
@pathogenomenick
@sphix_1
@balajis
@threadreaderap

Description:
Description
The graph represents a network of 458 Twitter users whose recent tweets contained "https://twitter.com/Williams_T_C/status/1345708240382918658 OR "could a non-segmented RNA virus rapidly evolve to evade a polyclonal immune response, rendering a vaccine ineffective?"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 03 January 2021 at 18:59 UTC.

The tweets in the network were tweeted over the 6-hour, 30-minute period from Sunday, 03 January 2021 at 12:27 UTC to Sunday, 03 January 2021 at 18:57 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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


Overall Graph Metrics
Vertices : 458
Unique Edges : 483
Edges With Duplicates : 0
Total Edges : 483
Self-Loops : 50
Reciprocated Vertex Pair Ratio : 0.00464037122969838
Reciprocated Edge Ratio : 0.0092378752886836
Connected Components : 42
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 396
Maximum Edges in a Connected Component : 421
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.375663
Graph Density : 0.00206874145987215
Modularity : 0.444457
NodeXL Version : 1.0.1.441
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=244724
Data Import : The graph represents a network of 458 Twitter users whose recent tweets contained "https://twitter.com/Williams_T_C/status/1345708240382918658 OR "could a non-segmented RNA virus rapidly evolve to evade a polyclonal immune response, rendering a vaccine ineffective?"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 03 January 2021 at 18:59 UTC.

The tweets in the network were tweeted over the 6-hour, 30-minute period from Sunday, 03 January 2021 at 12:27 UTC to Sunday, 03 January 2021 at 18:57 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : https://twitter.com/Williams_T_C/status/1345708240382918658 OR "could a non-segmented RNA virus rapidly evolve to evade a polyclonal immune response, rendering a vaccine ineffective?"
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 : Followers
Vertex Alpha : Followers

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[136] https://twitter.com/Williams_T_C/status/1345708240382918658
[12] https://threadreaderapp.com/thread/1345708240382918658.html
[4] https://www.biorxiv.org/content/10.1101/2020.12.28.424451v1.full.pdf
[1] https://tweetedtimes.com/topic/OrganicNation/sustainable-food?s=tnp
[1] https://tweetedtimes.com/OrganicNation/sustainable-food?s=tnp

Top URLs in Tweet in G1:
[7] https://twitter.com/Williams_T_C/status/1345708240382918658
[1] https://threadreaderapp.com/thread/1345708240382918658.html
[1] https://tweetedtimes.com/topic/OrganicNation/sustainable-food?s=tnp
[1] https://tweetedtimes.com/OrganicNation/sustainable-food?s=tnp

Top URLs in Tweet in G2:
[29] https://twitter.com/Williams_T_C/status/1345708240382918658

Top URLs in Tweet in G3:
[22] https://twitter.com/Williams_T_C/status/1345708240382918658

Top URLs in Tweet in G4:
[21] https://twitter.com/Williams_T_C/status/1345708240382918658

Top URLs in Tweet in G5:
[12] https://twitter.com/Williams_T_C/status/1345708240382918658

Top URLs in Tweet in G6:
[11] https://threadreaderapp.com/thread/1345708240382918658.html

Top URLs in Tweet in G7:
[4] https://twitter.com/Williams_T_C/status/1345708240382918658

Top URLs in Tweet in G8:
[4] https://twitter.com/Williams_T_C/status/1345708240382918658

Top URLs in Tweet in G9:
[4] https://www.biorxiv.org/content/10.1101/2020.12.28.424451v1.full.pdf
[4] https://twitter.com/Williams_T_C/status/1345708240382918658

Top URLs in Tweet in G10:
[4] https://twitter.com/Williams_T_C/status/1345708240382918658

Top Domains
Top Domains in Tweet in Entire Graph:
[136] twitter.com
[12] threadreaderapp.com
[4] biorxiv.org
[2] tweetedtimes.com

Top Domains in Tweet in G1:
[7] twitter.com
[2] tweetedtimes.com
[1] threadreaderapp.com

Top Domains in Tweet in G2:
[29] twitter.com

Top Domains in Tweet in G3:
[22] twitter.com

Top Domains in Tweet in G4:
[21] twitter.com

Top Domains in Tweet in G5:
[12] twitter.com

Top Domains in Tweet in G6:
[11] threadreaderapp.com

Top Domains in Tweet in G7:
[4] twitter.com

Top Domains in Tweet in G8:
[4] twitter.com

Top Domains in Tweet in G9:
[4] biorxiv.org
[4] twitter.com

Top Domains in Tweet in G10:
[4] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1] sars_cov_2
[1] covid19
[1] zerocovid



Top Hashtags in Tweet in G2:
[1] zerocovid
[1] sars_cov_2
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[684] virus
[663] rna
[645] average
[645] year
[393] vaccine
[369] polyclonal
[356] immune
[350] think
[342] evade
[342] response

Top Words in Tweet in G1:
[632] rna
[632] virus
[629] average
[629] year
[317] polyclonal
[317] vaccine
[317] think
[316] non
[316] segmented
[316] rapidly

Top Words in Tweet in G2:
[10] thread
[7] virus
[6] vaccine
[5] escape
[5] vaccines
[4] covid
[4] à
[3] good
[3] news
[3] against

Top Words in Tweet in G3:
[23] polyclonal
[23] vaccine
[23] think
[22] slightly
[22] depressing
[22] thread
[22] here
[22] sars_cov_2
[22] antibody
[22] evasion

Top Words in Tweet in G4:
[21] thread
[21] antibody
[20] informative
[20] development
[20] resistance
[20] sars
[20] cov
[20] 2
[2] polyclonal
[2] vaccine

Top Words in Tweet in G5:
[14] virus
[13] immune
[13] vaccine
[12] empirical
[12] question
[12] whether
[12] evolution
[12] fast
[12] enough
[12] achieve

Top Words in Tweet in G6:
[16] rna
[16] virus
[14] non
[14] segmented
[14] rapidly
[14] evolve
[14] evade
[14] polyclonal
[14] immune
[14] response

Top Words in Tweet in G7:
[4] thread
[4] monoclonal
[4] antibody
[4] treatments
[4] pushing
[4] covid
[4] develop
[4] vaccine
[4] resistance

Top Words in Tweet in G8:
[4] great
[4] thread
[4] viral
[4] genomics
[4] evolution
[4] immune
[4] response
[4] tldr
[4] longer
[4] sars

Top Words in Tweet in G9:
[5] polyclonal
[4] important
[4] thread
[4] beautifully
[4] explained
[4] basically
[4] possible
[4] sars
[4] cov
[4] 2

Top Words in Tweet in G10:
[4] thread
[4] prospects
[4] covid19
[4] evolving
[4] resistance
[4] vaccines

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[660] rna,virus
[340] immune,response
[338] evade,polyclonal
[336] non,segmented
[336] segmented,rna
[336] virus,rapidly
[336] rapidly,evolve
[336] evolve,evade
[336] polyclonal,immune
[336] response,rendering

Top Word Pairs in Tweet in G1:
[632] rna,virus
[316] non,segmented
[316] segmented,rna
[316] virus,rapidly
[316] rapidly,evolve
[316] evolve,evade
[316] evade,polyclonal
[316] polyclonal,immune
[316] immune,response
[316] response,rendering

Top Word Pairs in Tweet in G2:
[3] vaccine,evasion
[2] good,news
[2] mrna,vaccines
[2] circulating,virus
[2] biggest,problem

Top Word Pairs in Tweet in G3:
[22] slightly,depressing
[22] depressing,thread
[22] thread,here
[22] here,sars_cov_2
[22] sars_cov_2,antibody
[22] antibody,evasion
[22] evasion,possible
[22] possible,polyclonal
[22] polyclonal,sera
[22] sera,means

Top Word Pairs in Tweet in G4:
[20] informative,thread
[20] thread,development
[20] development,antibody
[20] antibody,resistance
[20] resistance,sars
[20] sars,cov
[20] cov,2
[2] rna,virus

Top Word Pairs in Tweet in G5:
[12] empirical,question
[12] question,whether
[12] whether,virus
[12] virus,evolution
[12] evolution,fast
[12] fast,enough
[12] enough,achieve
[12] achieve,immune
[12] immune,escape
[12] escape,happens

Top Word Pairs in Tweet in G6:
[16] rna,virus
[14] non,segmented
[14] segmented,rna
[14] virus,rapidly
[14] rapidly,evolve
[14] evolve,evade
[14] evade,polyclonal
[14] polyclonal,immune
[14] immune,response
[14] response,rendering

Top Word Pairs in Tweet in G7:
[4] thread,monoclonal
[4] monoclonal,antibody
[4] antibody,treatments
[4] treatments,pushing
[4] pushing,covid
[4] covid,develop
[4] develop,vaccine
[4] vaccine,resistance

Top Word Pairs in Tweet in G8:
[4] great,thread
[4] thread,viral
[4] viral,genomics
[4] genomics,evolution
[4] evolution,immune
[4] immune,response
[4] response,tldr
[4] tldr,longer
[4] longer,sars
[4] sars,cov

Top Word Pairs in Tweet in G9:
[4] important,thread
[4] thread,beautifully
[4] beautifully,explained
[4] explained,basically
[4] basically,possible
[4] possible,sars
[4] sars,cov
[4] cov,2
[4] 2,mutate
[4] mutate,escape

Top Word Pairs in Tweet in G10:
[4] thread,prospects
[4] prospects,covid19
[4] covid19,evolving
[4] evolving,resistance
[4] resistance,vaccines

Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@edinburghwatch
@lesleygsmith3
@bprophetable
@kevinpbreslin
@noahpinion
@marypgkeating
@ganjasmokercb
@ayirpelle
@project1enigma

Top Tweeters in G1:
@edinburghwatch
@marypgkeating
@ganjasmokercb
@project1enigma
@luvlibertypeace
@_l1vy_
@jhinkley24
@lindahurrell
@sesiegler
@montriciahubba1

Top Tweeters in G2:
@sciliz
@bobblakley
@drjimbonhs
@randomlybob
@smuabu
@hemofelo
@unusual_times
@predatordiaries
@biomaven
@abcworrier

Top Tweeters in G3:
@burtonad
@ewanbirney
@glyn_dk
@zaminiqbal
@_andreas42
@ancestralstate
@snowdeal
@minouye271
@borzoibystander
@jtedds

Top Tweeters in G4:
@ayirpelle
@simacoder
@surt_lab
@rogerhighfield
@pathogenomenick
@pvanheus
@baym
@lucacozzuto
@egaluemozo
@moon_bio

Top Tweeters in G5:
@tcrpartybot
@sphix_1
@muktabh
@yenkak
@nirvanaruchi
@macaesbruno
@steffenfrolund
@brunobotmacaes
@balajis
@tmccarthyv94

Top Tweeters in G6:
@threadreaderapp
@bprophetable
@ilhamabuljadaye
@ardalby71
@openkindle
@markgpope
@ibrsalazar
@pacimom1
@gtesta72
@auspread

Top Tweeters in G7:
@noahpinion
@chryslap
@b0b0lf0
@cordurboii

Top Tweeters in G8:
@allard_wanda
@junesim63
@i_think_outloud
@kkcheng4

Top Tweeters in G9:
@fracskul
@matias_kaplan
@juergenlabermas
@jameslingford

Top Tweeters in G10:
@grahammoore11
@kathyroddy
@milesking10
@catheri62636281


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.