(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse), Twitter, 5/21/2020 4:46:35 PM, 227020


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(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doct
(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doct
From:
NodeXLExcelAutomator
Uploaded on:
May 21, 2020
Short Description:
(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse) via NodeXL https://bit.ly/3bS25Hp
@thattimwalker
@nadiawhittomemp
@mayagoodfellow
@nicktolhurst
@pritipatel
@theda_uk
@theneweuropean
@jcwi_uk
@jeremycorbyn
@greenbenali

Top

Description:
Description
The graph represents a network of 5,180 Twitter users whose tweets in the requested range contained "(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 May 2020 at 23:28 UTC.

The requested start date was Wednesday, 20 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 1-day, 4-hour, 12-minute period from Monday, 18 May 2020 at 08:58 UTC to Tuesday, 19 May 2020 at 13:10 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 : 5180
Unique Edges : 1405
Edges With Duplicates : 8969
Total Edges : 10374
Number of Edge Types : 5
Replies to : 190
Retweet : 4423
MentionsInRetweet : 4837
Tweet : 490
Mentions : 434
Self-Loops : 508
Reciprocated Vertex Pair Ratio : 0.00372300819061802
Reciprocated Edge Ratio : 0.00741839762611276
Connected Components : 512
Single-Vertex Connected Components : 160
Maximum Vertices in a Connected Component : 3303
Maximum Edges in a Connected Component : 7466
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.538464
Graph Density : 0.000200989890119066
Modularity : 0.500598
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 5,180 Twitter users whose tweets in the requested range contained "(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 May 2020 at 23:28 UTC.

The requested start date was Wednesday, 20 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 1-day, 4-hour, 12-minute period from Monday, 18 May 2020 at 08:58 UTC to Tuesday, 19 May 2020 at 13:10 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 : GraphServerTwitterSearch
Graph Term : (immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[166] https://www.cdss.ca.gov/inforesources/immigration/covid-19-drai
[130] https://www.independent.co.uk/news/uk/politics/priti-patel-nhs-fees-foreign-health-staff-immigration-surcharge-a9517356.html
[28] https://www.theneweuropean.co.uk/top-stories/shadow-home-secretary-criticises-priti-patel-s-covid-19-immigration-bill-1-6658215?utm_source=Twitter&utm_medium=Social_Icon&utm_campaign=in_article_social_icons
[25] https://www.politicshome.com/thehouse/article/immigration-bill-pandemic
[19] https://www.bbc.co.uk/news/uk-politics-52701843
[17] https://petition.parliament.uk/petitions/301948
[10] https://www.nbcnews.com/news/asian-america/fear-deportation-heightened-immigrant-doctors-h-1b-visas-amid-pandemic-n1204791
[10] https://www.theneweuropean.co.uk/top-stories/shadow-home-secretary-criticises-priti-patel-s-covid-19-immigration-bill-1-6658215
[8] https://twitter.com/pritipatel/status/1262430422954389504
[7] https://www.virginiamercury.com/2020/05/18/latino-immigrant-workers-hit-hardest-by-covid-19-see-little-aid-from-government-leaders-say/

Top URLs in Tweet in G1:
[2] https://www.theneweuropean.co.uk/top-stories/shadow-home-secretary-criticises-priti-patel-s-covid-19-immigration-bill-1-6658215?utm_source=Twitter&utm_medium=Social_Icon&utm_campaign=in_article_social_icons
[1] https://www.nytimes.com/2020/05/14/obituaries/jerzy-glowczewski-dead-coronavirus.html

Top URLs in Tweet in G2:
[14] https://www.politicshome.com/thehouse/article/immigration-bill-pandemic
[2] https://labourlist.org/2020/05/a-message-to-you-rishi/
[2] https://www.independent.co.uk/news/uk/politics/priti-patel-nhs-fees-foreign-health-staff-immigration-surcharge-a9517356.html
[1] https://twitter.com/AnaOpp/status/1262287894452080643
[1] https://www.labourfreemovement.org/act-now-kill-the-immigration-bill/

Top URLs in Tweet in G3:
[10] https://www.independent.co.uk/news/uk/politics/priti-patel-nhs-fees-foreign-health-staff-immigration-surcharge-a9517356.html
[2] https://www.gov.uk/guidance/coronavirus-covid-19-advice-for-uk-visa-applicants-and-temporary-uk-residents
[2] https://www.politicshome.com/thehouse/article/immigration-bill-pandemic
[1] https://twitter.com/pritipatel/status/1262430422954389504
[1] https://twitter.com/RCPLondon/status/1260495916341100546
[1] https://twitter.com/HouseofCommons/status/1262481480338616332
[1] https://publications.parliament.uk/pa/cm5801/cmagenda/OP200518.pdf
[1] https://www.theyworkforyou.com/debates/?id=2020-05-18a.398.0&s=Immigration%20bill%202020&fbclid=IwAR14blVjijTF5GgmZPl5OdEgV3R-d8JtX4GiCX_2zEPvS6lS6M441ReW0tw#g421.1
[1] https://france3-regions.francetvinfo.fr/hauts-de-france/royaume-uni-reforme-immigration-post-brexit-adoptee-europeens-n-auront-plus-traitement-faveur-1830788.html
[1] https://www.theneweuropean.co.uk/top-stories/shadow-home-secretary-criticises-priti-patel-s-covid-19-immigration-bill-1-6658215

Top URLs in Tweet in G4:
[1] https://www.partyof.wales/plaid_cymru_to_table_amendment_to_immigration_bill
[1] http://hey-mp.uk/?c=immigr
[1] https://www.theneweuropean.co.uk/top-stories/shadow-home-secretary-criticises-priti-patel-s-covid-19-immigration-bill-1-6658215?utm_source=Twitter&utm_medium=Social_Icon&utm_campaign=in_article_social_icons

Top URLs in Tweet in G5:
[1] https://twitter.com/Noga_LR/status/1262482553619066886
[1] https://thecorrespondent.com/467/we-clapped-for-key-workers-now-lets-push-for-immigration-reform/61825757334-0f5ee962
[1] https://twitter.com/DocsNotCops/status/1257286828471848961
[1] https://twitter.com/fieldgunner12/status/1262297996957487104

Top URLs in Tweet in G6:
[160] https://www.cdss.ca.gov/inforesources/immigration/covid-19-drai

Top URLs in Tweet in G7:
[6] https://petition.parliament.uk/petitions/301948
[5] https://www.ilrc.org/coronavirus-and-immigration-ilrc-resources-responses#naturalization
[3] https://www.independent.co.uk/news/uk/politics/priti-patel-nhs-fees-foreign-health-staff-immigration-surcharge-a9517356.html
[3] https://www.cdss.ca.gov/inforesources/immigration/covid-19-drai
[3] https://twitter.com/pritipatel/status/1262351769369223170
[3] https://www.politicshome.com/thehouse/article/immigration-bill-pandemic
[3] https://twitter.com/pritipatel/status/1262430422954389504
[2] https://www.theneweuropean.co.uk/top-stories/shadow-home-secretary-criticises-priti-patel-s-covid-19-immigration-bill-1-6658215?utm_source=Twitter&utm_medium=Social_Icon&utm_campaign=in_article_social_icons
[2] http://www.asahi.com/ajw/articles/13383320
[2] https://www.hrpodcasters.com/hr-works-covid-19-update-on-immigration-freeze-part-2/?utm_source=dlvr.it&utm_medium=twitter

Top URLs in Tweet in G8:
[2] https://www.independent.co.uk/news/uk/politics/priti-patel-nhs-fees-foreign-health-staff-immigration-surcharge-a9517356.html
[1] https://twitter.com/doctors_net_uk/status/1262635599548342283
[1] https://www.thetimes.co.uk/edition/news/fee-on-foreign-medics-for-using-nhs-is-branded-a-gross-insult-3sz6332m0?utm_medium=Social&utm_source=Twitter#Echobox=1589870003
[1] https://morningstaronline.co.uk/article/b/tories-slam-the-door-on-foreign-care-and-health-workers

Top URLs in Tweet in G9:
[1] https://www.theguardian.com/uk-news/2020/may/18/tories-accused-of-hypocrisy-over-key-workers-with-immigration-bill
[1] https://www.independent.co.uk/news/uk/politics/coronavirus-immigration-rules-brexit-nhs-deaths-boris-johnson-a9516786.html

Top URLs in Tweet in G10:
[93] https://www.independent.co.uk/news/uk/politics/priti-patel-nhs-fees-foreign-health-staff-immigration-surcharge-a9517356.html
[1] https://bit.ly/2LwL6iZ
[1] https://www.theguardian.com/politics/2020/may/16/home-office-priti-patel-failure-to-scrap-nhs-migrant-surcharge-sparks-anger

Top Domains
Top Domains in Tweet in Entire Graph:
[222] co.uk
[171] ca.gov
[82] twitter.com
[28] politicshome.com
[27] theguardian.com
[20] parliament.uk
[17] nbcnews.com
[11] org.uk
[7] virginiamercury.com
[6] nationalpost.com

Top Domains in Tweet in G1:
[2] co.uk
[1] nytimes.com

Top Domains in Tweet in G2:
[14] politicshome.com
[2] labourlist.org
[2] co.uk
[1] twitter.com
[1] labourfreemovement.org

Top Domains in Tweet in G3:
[12] co.uk
[6] twitter.com
[2] gov.uk
[2] politicshome.com
[2] theguardian.com
[1] parliament.uk
[1] theyworkforyou.com
[1] francetvinfo.fr
[1] brownejacobson.com

Top Domains in Tweet in G4:
[1] partyof.wales
[1] hey-mp.uk
[1] co.uk

Top Domains in Tweet in G5:
[3] twitter.com
[1] thecorrespondent.com

Top Domains in Tweet in G6:
[160] ca.gov

Top Domains in Tweet in G7:
[21] twitter.com
[15] co.uk
[6] parliament.uk
[5] ilrc.org
[4] nbcnews.com
[4] theguardian.com
[3] mondaq.com
[3] ca.gov
[3] politicshome.com
[3] linkedin.com

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

Top Domains in Tweet in G9:
[1] theguardian.com
[1] co.uk

Top Domains in Tweet in G10:
[93] co.uk
[1] bit.ly
[1] theguardian.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[61] covid19
[49] pritipatel
[49] immigration
[49] immigrationbill
[39] keyworkers
[29] coronavirus
[27] nhs
[24] borisjohnson
[22] covid
[17] brexit



Top Hashtags in Tweet in G1:
[1] covid_19

Top Hashtags in Tweet in G2:
[12] immigrationbill
[5] killtheimmigrationbill
[1] r4today
[1] papersforall
[1] regularizacionya
[1] covid
[1] pritipatel

Top Hashtags in Tweet in G3:
[5] immigrationbill
[4] pritipatel
[4] nhs
[2] covid19
[1] orderpaper
[1] r4today
[1] hostileenvironment
[1] coronavirus
[1] covid_19
[1] immigration

Top Hashtags in Tweet in G5:
[4] tuesdaythoughts
[3] immigrationbill
[3] keyworkers
[1] pritiawful
[1] toriesout

Top Hashtags in Tweet in G7:
[15] immigration
[8] covid19
[7] coronavirus
[6] health
[5] immigrationbill
[5] covid
[5] 100knewcitizens
[4] pritipatel
[4] virtualoaths
[3] hr

Top Hashtags in Tweet in G8:
[1] protectthefrontline
[1] marr
[1] ridge

Top Words
Top Words in Tweet in Entire Graph:
[] Top Word Pairs in Tweet in Entire Graph
[] Entire Graph Count
[] Top Word Pairs in Tweet in G1

Top Words in Tweet in G1:
[706] please
[706] retweet
[706] longer
[706] stomach
[706] nauseating
[706] hypocritical
[706] spectacle
[706] johnson
[706] clapping
[706] nhs

Top Words in Tweet in G2:
[431] workers
[421] nadiawhittomemp
[414] cynical
[409] vote
[408] clap
[407] key
[407] rights
[407] away
[406] monday
[404] hypocrisy

Top Words in Tweet in G3:
[190] immigration
[131] pritipatel
[117] bill
[97] mps
[53] jcwi_uk
[49] ill
[48] really
[47] conservative
[47] see
[47] thought

Top Words in Tweet in G4:
[211] update
[211] pro
[211] trump
[211] brexit
[211] billionaire
[211] peter
[211] thiel
[211] company
[211] palantir
[211] works

Top Words in Tweet in G5:
[219] pandemic
[215] mayagoodfellow
[201] immigration
[195] bill
[195] second
[195] reading
[192] passes
[192] 351
[192] 252
[192] votes

Top Words in Tweet in G6:
[160] california
[160] set
[160] issue
[160] stimulus
[160] money
[160] illegal
[160] aliens
[160] beginning
[160] monday
[160] 18

Top Words in Tweet in G7:
[102] immigration
[50] covid
[48] pandemic
[38] 19
[37] workers
[32] health
[26] immigrant
[25] during
[22] nhs
[21] government

Top Words in Tweet in G8:
[151] immigration
[141] health
[139] surcharge
[131] insult
[130] theda_uk
[129] serving
[129] country
[129] time
[129] greatest
[129] need

Top Words in Tweet in G9:
[118] pandemic
[89] immigration
[86] bill
[82] tories
[81] bloody
[81] priority
[81] push
[81] slap
[81] face
[81] greenbenali

Top Words in Tweet in G10:
[119] workers
[114] nhs
[93] charge
[93] stopped
[92] jeremycorbyn
[14] immigration
[10] migrant
[10] staff
[10] health
[9] government

Top Word Pairs
Top Word Pairs in Tweet in G2:
[706] key,workers
[706] cynical,hypocrisy
[706] hypocrisy,clap
[706] thursday,vote
[706] vote,rights
[706] rights,away
[706] nadiawhittomemp,cynical
[706] clap,key
[706] workers,thursday
[706] away,monday

Top Word Pairs in Tweet in G3:
[407] immigration,bill
[404] pritipatel,immigration
[404] really,conservative
[404] conservative,mps
[404] mps,see
[404] see,pritipatel
[395] bill,ill
[394] ill,thought
[394] paddybriggs,really
[394] thought,intellectu

Top Word Pairs in Tweet in G4:
[105] update,pro
[48] pro,trump
[47] trump,brexit
[47] brexit,billionaire
[47] billionaire,peter
[47] peter,thiel
[47] thiel,company
[47] company,palantir
[46] palantir,works
[46] works,closely

Top Word Pairs in Tweet in G5:
[211] immigration,bill
[211] second,reading
[211] bill,passes
[211] passes,second
[211] reading,351
[211] 351,252
[211] 252,votes
[211] votes,middle
[211] middle,global
[211] global,pandemic

Top Word Pairs in Tweet in G6:
[195] california,set
[195] set,issue
[192] issue,stimulus
[192] stimulus,money
[192] money,illegal
[192] illegal,aliens
[192] aliens,beginning
[192] beginning,monday
[192] monday,18
[192] 18,link

Top Word Pairs in Tweet in G7:
[160] covid,19
[160] immigration,bill
[160] during,pandemic
[160] key,workers
[160] immigration,health
[160] health,surcharge
[160] overseas,nhs
[160] nhs,staff
[160] illegal,immigration
[160] health,care

Top Word Pairs in Tweet in G8:
[38] health,surcharge
[17] immigration,health
[14] surcharge,insult
[11] insult,serving
[9] serving,country
[9] country,time
[8] time,greatest
[8] greatest,need
[8] theda_uk,immigration
[7] need,represent

Top Word Pairs in Tweet in G9:
[138] immigration,bill
[131] pandemic,tories
[129] bloody,pandemic
[129] tories,priority
[129] priority,push
[129] push,immigration
[129] bill,slap
[129] slap,face
[128] greenbenali,bloody
[128] face,migra

Top Word Pairs in Tweet in G10:
[83] nhs,workers
[82] charge,nhs
[81] workers,stopped
[81] jeremycorbyn,charge
[81] immigration,health
[81] health,surcharge
[81] government,insists
[81] insists,continuing
[80] continuing,impose
[80] impose,nhs

Top Replied-To
Top Replied-To in Entire Graph:
@pritipatel
@mrjamesob
@cillizzacnn
@ukhomeoffice
@latimeralder
@catoinstitute
@mikegalsworthy
@citimmcanada
@borisjohnson
@matthancock

Top Replied-To in G1:
@anna_soubry
@anitawalley2

Top Replied-To in G2:
@alecdavidlee
@richardburgon

Top Replied-To in G3:
@pritipatel
@ukhomeoffice
@dhscgovuk
@animeshklal
@wendihouse22
@conservatives
@jessrobeson
@protecths
@jcwi_uk

Top Replied-To in G9:
@tonybee1

Top Mentioned
Top Mentioned in Entire Graph:
@thattimwalker
@nadiawhittomemp
@mayagoodfellow
@nicktolhurst
@inevitable_et
@theda_uk
@pritipatel
@theneweuropean
@jeremycorbyn
@greenbenali

Top Mentioned in G1:
@thattimwalker
@nkulish
@theneweuropean

Top Mentioned in G2:
@nadiawhittomemp
@zoejardiniere
@another_europe
@labgnd
@thattimwalker
@openlabour
@kayesem
@anaopp
@thehouse_mag
@thehouse

Top Mentioned in G3:
@pritipatel
@jcwi_uk
@paddybriggs
@cnagpaul
@thebma
@rcplondon
@houseofcommons
@ukparliament
@ukhomeoffice
@runnymedetrust

Top Mentioned in G4:
@nicktolhurst
@remainiacscast
@thattimwalker
@plaid_cymru
@nadiawhittomemp
@greenbenali
@theneweuropean

Top Mentioned in G5:
@mayagoodfellow
@nadiawhittomemp
@thattimwalker
@emmarichards72
@katyjane_101
@nicktolhurst
@the_corres
@hmscentre

Top Mentioned in G6:
@inevitable_et

Top Mentioned in G7:
@hrpodcasters
@gepehill1

Top Mentioned in G8:
@theda_uk
@uvwunion
@thetimes
@thattimwalker
@mayagoodfellow
@nadiawhittomemp
@jcarterwoodrow
@bapiouk
@appne_official
@strongerstabler

Top Mentioned in G9:
@greenbenali
@libdems
@nadiawhittomemp
@thattimwalker
@theda_uk
@nicktolhurst
@mayagoodfellow
@inlimbobrexit
@alexforeurope
@houseofcommons

Top Mentioned in G10:
@jeremycorbyn
@hackneyabbott
@thercn
@nadiawhittomemp
@sebkraemer
@thattimwalker
@mayagoodfellow
@theda_uk
@zoejardiniere
@peterstefanovi2

Top Tweeters
Top Tweeters in Entire Graph:
@s9tmt
@mattmurph24
@my_amigouk
@miltonespinozaf
@soniaerasmus
@hazelglasgow
@davidlance3
@porridgeisgood
@lesleygsmith3
@andyvermaut

Top Tweeters in G1:
@djsiri
@esme_hornbeam
@uncleprober
@sandrahalifax
@philmorandi
@educatingdonna
@grantwhitetz
@mrplannings
@michael33495998
@valerimelnyczuk

Top Tweeters in G2:
@s9tmt
@porridgeisgood
@jpjanson
@thefabledaesop
@otivar55
@gaznorris15
@magapanthus
@christoclifford
@arachnochist
@golwgymor

Top Tweeters in G3:
@magicdmw
@turfline
@j_sutherland2
@caroljhedges
@christinejameis
@steph80335
@gillesklein
@gareth0108
@janhunt78561126
@mariebe10098426

Top Tweeters in G4:
@peradventur3
@lordbonkers
@zeno001
@vbrighthorses
@ledredman
@veecee30
@rivermansky63
@cirian75
@brexitlalaland
@jonhgurr

Top Tweeters in G5:
@davidlance3
@manatrue
@mjohnso27
@cathymcrorie
@lanct22
@shirleyyoung2
@shanalala_
@gorsefires
@ayomiposi__
@lifelandlady

Top Tweeters in G6:
@miltonespinozaf
@soniaerasmus
@loyaltotrump
@shirleyringuet5
@eyegloarts
@dianne1h
@lfs1776
@mikejorgensen5
@lizbethjoy
@lifecoachcathy

Top Tweeters in G7:
@my_amigouk
@andyvermaut
@maguyboivin
@mikecoulson48
@kateacosta5
@trstdtravlr
@stylecounsel_30
@lawnewsamerica
@mtsarabia
@bakerhugh

Top Tweeters in G8:
@mojos55
@mconway70
@margymayell
@hausofrushdi
@sashasimic
@hugorelly
@tsunami65
@thetimes
@haggewoods
@robinpaulinman

Top Tweeters in G9:
@eigensinn83
@walshheyjude
@paulhutchinson
@rcgothic
@yuviathome
@russelljj
@projectkearsley
@elitefourduncan
@bozwaldcoblepot
@connovar

Top Tweeters in G10:
@lewisno1fan
@logansteven
@irisstylosa
@davelawson35
@daphne_miles
@senseichanning
@joneyi1
@bel_nagy
@curlyclaretoo
@dessiembyrne