(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse), Twitter, 6/22/2022 11:27:43 PM, 278593


FAQ | Problem?

(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:
June 22, 2022
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/3xPwumu
@johnfetterman
@rbcleaderofpac1
@kimmyann1111
@potus
@saggit95
@patway1979
@andrewlbyrne
@tammy8156
@prison_health
@amnestynow

Top hashtags:

Description:
Description
The graph represents a network of 9,271 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, 22 June 2022 at 23:02 UTC.

The requested start date was Wednesday, 22 June 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 7-day, 3-hour, 15-minute period from Tuesday, 14 June 2022 at 20:37 UTC to Tuesday, 21 June 2022 at 23:52 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 : 9271
Unique Edges : 5190
Edges With Duplicates : 11037
Total Edges : 16227
Number of Edge Types : 5
Retweet : 5063
MentionsInRetweet : 6274
Replies to : 1575
Mentions : 2508
Tweet : 807
Self-Loops : 859
Reciprocated Vertex Pair Ratio : 0.0136018557570645
Reciprocated Edge Ratio : 0.0268386559866847
Connected Components : 1395
Single-Vertex Connected Components : 423
Maximum Vertices in a Connected Component : 2535
Maximum Edges in a Connected Component : 5118
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.760264
Graph Density : 0.000111854285271131
Modularity : 0.59092
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,271 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, 22 June 2022 at 23:02 UTC.

The requested start date was Wednesday, 22 June 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 7-day, 3-hour, 15-minute period from Tuesday, 14 June 2022 at 20:37 UTC to Tuesday, 21 June 2022 at 23:52 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:
[42] https://www.institutmontaigne.org/presidentielle-2022/jean-luc-melenchon/synthese/
[11] https://www.youtube.com/watch?v=UrjSC4oJqDA&feature=youtu.be

[10] https://www.canada.ca/en/immigration-refugees-citizenship/news/2022/06/government-of-canada-funds-kids-help-phone-to-expand-mental-health-services-for-afghan-and-ukrainian-youth.html
[7] https://www.dailykos.com/stories/2022/6/10/2103376/-DeSantis-is-trying-to-fund-his-latest-anti-immigrant-stunt-with-millions-in-federal-pandemic-relief
[6] https://institute.org/immigranthealth/
[5] https://redirect.viglink.com?u=https%3A%2F%2Fwww.amazon.com%2FAmerica-Crisis-challenges-require-strength-ebook%2Fdp%2FB09KQ6C6ZK%2Fref%3Dsr_1_3%3Fdchild%3D1%26keywords%3Dclark%2Bdevoe%26qid%3D1635693860%26qsid%3D133-2610777-0027205%26s%3Dbooks%26sr%3D1-3%26sres%3DB085KT87WJ%252CB08BW84C8X%252CB09KN9YT5R%252CB08T6JYGRL%252CB09BK2G7TS%252CB01281YNW4%252CB094D8K8MD%252CB00YHVQF8E%252CB079JDTJNG%252CB004F7VQRK&key=a7e37b5f6ff1de9cb410158b1013e54a&prodOvrd=RAC&opt=false
[5] https://us02web.zoom.us/webinar/register/WN_YBMy2338RXKQTF9mQPmGBg
[4] https://girlbeheard.org/mainstage-2022
[4] https://www.the74million.org/article/nyc-teacher-immigrant-students-community-covid/
[4] https://hard-drive.net/heartbreaking-this-immigrant-plumber-was-a-doctor-in-his-home-country/

Top URLs in Tweet in G1:
[1] https://twitter.com/paulwaldman1/status/1538878977967890432

Top URLs in Tweet in G2:
[1] https://www.youtube.com/watch?v=0dMoA-Bomfs&feature=youtu.be

[1] https://www.ippr.org/blog/minority-ethnic-groups-face-greater-problem-debt-risk-since-covid-19
[1] https://en.wikipedia.org/wiki/List_of_European_countries_by_average_wage
[1] https://twitter.com/zarahsultana/status/1537749548386463744
[1] https://twitter.com/sophielouisecc/status/1537920933989449729
[1] https://www.theguardian.com/uk/2008/nov/18/immigration-policy-health-politics

Top URLs in Tweet in G3:
[6] https://www.dailykos.com/stories/2022/6/10/2103376/-DeSantis-is-trying-to-fund-his-latest-anti-immigrant-stunt-with-millions-in-federal-pandemic-relief
[6] https://institute.org/immigranthealth/
[2] https://immigration-health-surcharge-reimbursement.service.gov.uk/
[2] https://www.breitbart.com/politics/2022/06/16/joe-biden-considers-declaring-national-public-health-emergency-roe-v-wade-overturned/
[2] http://recruitingblogs.com/xn/detail/502551:BlogPost:2334687?utm_source=dlvr.it&utm_medium=twitter
[2] https://www.globaldiasporanews.com/protected-new-report-pandemic-exposed-black-immigrant-domestic-workers-to-exploitation-wage-theft-lack-of-safety/
[2] https://policylab.chop.edu/blog/providing-emotional-support-immigrant-communities-during-covid-19-200-words
[2] https://your-shop-online.in/
[1] https://www.pih.org/article/push-toward-health-equity-new-bedford-city-immigrants
[1] https://twitter.com/Logically_JC/status/1536733485246959616

Top URLs in Tweet in G5:
[3] https://www.youtube.com/watch?v=uaCaIhfETsM&feature=youtu.be

[3] http://memory.Here
[2] https://nypost.com/2022/06/20/biden-scolds-reporter-on-beach-for-asking-if-recession-is-inevitable/?utm_campaign=iphone_nyp&utm_source=twitter_app
[2] https://theworld.org/stories/2019-05-23/centuries-migrants-have-been-said-pose-public-health-risks-they-don-t
[1] https://twitter.com/cspan/status/1539343968386818049
[1] https://trib.al/UZoMU1i
[1] https://usafacts.org/articles/what-was-title-42s-effect-on-border-encounters-and-people-seeking-asylum-in-the-us/?utm_source=Mailchimp&utm_medium=Email&utm_campaign=Jun-20-title-42&utm_content=title-42-text
[1] https://www.fwd.us/news/fwd-us-statement-on-centers-for-disease-control-and-preventions-decision-to-end-title-42/
[1] https://www.indy100.com/news/donald-trump-worst-jan-6th-2657526715
[1] https://www.texastribune.org/2021/04/09/immigration-biden-migrants-minors-shelter/

Top URLs in Tweet in G6:
[1] https://www.bbc.co.uk/news/uk-politics-61847902
[1] https://twitter.com/tomhunt1988/status/1536640833260113920

Top URLs in Tweet in G8:
[1] https://www.dailykos.com/stories/2022/6/10/2103376/-DeSantis-is-trying-to-fund-his-latest-anti-immigrant-stunt-with-millions-in-federal-pandemic-relief

Top URLs in Tweet in G9:
[1] https://7news.com.au/lifestyle/health-wellbeing/hiyaan-kapil-in-excruciating-pain-after-being-discharged-from-logan-hospital-before-death-c-6965194

Top URLs in Tweet in G10:
[1] https://www.businessinsider.com/fox-news-karen-mcdougal-case-tucker-carlson-2020-9?r=US&IR=T
[1] https://abendum.com/
[1] https://www.factcheck.org/2021/03/the-facts-on-the-increase-in-illegal-immigration/
[1] https://jacobin.com/2022/03/joe-biden-administration-privatization-medicare-health-insurance-direct-contracting-entities

Top Domains
Top Domains in Tweet in Entire Graph:
[157] twitter.com
[42] institutmontaigne.org
[27] youtube.com
[22] canada.ca
[14] co.uk
[10] mondaq.com
[10] dailykos.com
[9] zoom.us
[8] apnews.com
[8] huffpost.com

Top Domains in Tweet in G1:
[1] twitter.com

Top Domains in Tweet in G2:
[2] twitter.com
[1] youtube.com
[1] ippr.org
[1] wikipedia.org
[1] theguardian.com

Top Domains in Tweet in G3:
[72] twitter.com
[7] dailykos.com
[6] youtube.com
[6] institute.org
[5] linkedin.com
[5] immigrationandmigration.com
[4] canada.ca
[3] co.uk
[3] huffpost.com
[2] apnews.com

Top Domains in Tweet in G5:
[4] youtube.com
[3] memory.here
[2] nypost.com
[2] theworld.org
[1] twitter.com
[1] trib.al
[1] usafacts.org
[1] fwd.us
[1] indy100.com
[1] texastribune.org

Top Domains in Tweet in G6:
[1] co.uk
[1] twitter.com

Top Domains in Tweet in G8:
[1] dailykos.com

Top Domains in Tweet in G9:
[1] com.au

Top Domains in Tweet in G10:
[1] businessinsider.com
[1] abendum.com
[1] factcheck.org
[1] jacobin.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[362] 476visa
[134] dv2021
[101] johnsonout145
[86] immigration
[37] covid
[33] 476visaprioritize
[24] auspoll
[22] lgbtq
[19] canada
[14] auspol



Top Hashtags in Tweet in G2:
[3] covid
[3] immigration
[2] scummedia
[2] vaccinated
[2] remainers
[2] leavers
[2] brexiteers
[2] brexit
[1] wankerwelby
[1] swedengate

Top Hashtags in Tweet in G3:
[37] immigration
[13] covid
[8] canada
[8] healthcare
[6] health
[6] legalconsultation
[6] immigranthealthcare
[6] not62
[5] usa
[5] healthinsurance

Top Hashtags in Tweet in G5:
[134] dv2021
[5] daca
[1] stem
[1] competes
[1] liars
[1] bidenworstpresidentever
[1] covid
[1] dv2020
[1] immigration
[1] maga

Top Hashtags in Tweet in G6:
[101] johnsonout145
[1] nhs
[1] brexit
[1] police
[1] immigration
[1] covid
[1] privatisation
[1] ukrainerussianwar
[1] brexitbrokebritain

Top Hashtags in Tweet in G8:
[7] removeron

Top Hashtags in Tweet in G10:
[2] bidendestroysamerica
[1] youaresounqualified
[1] gowokegobroke
[1] k

Top Words
Top Words in Tweet in Entire Graph:
[2912] immigration
[2606] health
[1988] care
[1815] covid
[1448] know
[1393] way
[1382] nation
[1345] life
[1341] union
[1324] price

Top Words in Tweet in G1:
[1293] health
[1293] care
[1290] johnfetterman
[1290] true
[1290] price
[1290] gouging
[1290] union
[1290] way
[1290] life
[1289] know

Top Words in Tweet in G2:
[316] immigration
[194] people
[114] over
[112] british
[112] problems
[109] phillip62895700
[109] immigrants
[107] scale
[107] birthrate
[106] mislead

Top Words in Tweet in G3:
[292] immigration
[191] health
[145] covid
[118] immigrant
[71] pandemic
[67] more
[56] care
[49] 19
[44] people
[41] mental

Top Words in Tweet in G4:
[420] doivent
[420] craindre
[418] selon
[418] gouvernement
[418] médias
[418] français
[418] covid
[418] guerre
[418] variole
[418] singe

Top Words in Tweet in G5:
[211] covid
[207] record
[148] year
[143] affected
[143] really
[142] previous
[142] #dv2021
[142] ban
[141] lottery
[141] winers

Top Words in Tweet in G6:
[289] toxic
[158] immigration
[154] election
[152] party
[151] torys
[151] removing
[151] name
[151] literature
[146] clinging
[135] lame

Top Words in Tweet in G7:
[274] nova
[274] scotia
[274] canada
[274] hiring
[274] nurse
[274] continuing
[274] care
[274] assistant
[274] looking
[274] opportunity

Top Words in Tweet in G8:
[12] trump
[11] immigration
[11] failed
[9] pandemic
[9] immigrant
[7] splc
[7] asks
[7] investigation
[7] demonic
[7] desantis

Top Words in Tweet in G9:
[158] hospital
[157] another
[157] child
[157] immigrant
[157] parents
[157] dies
[157] visiting
[157] ed
[157] commonalities
[157] between

Top Words in Tweet in G10:
[97] immigration
[84] trump
[75] covid
[69] inflation
[66] war
[63] taxscam
[63] trade
[63] tariffs
[63] policy
[62] boosters

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1611] health,care
[1311] price,gouging
[1306] way,life
[1304] union,way
[1303] know,true
[1303] immoral,union
[1303] nation,health
[1302] true,price
[1302] gouging,immoral
[1302] life,sacred

Top Word Pairs in Tweet in G1:
[1293] health,care
[1290] price,gouging
[1290] union,way
[1290] way,life
[1289] know,true
[1289] immoral,union
[1289] nation,health
[1288] true,price
[1288] gouging,immoral
[1288] life,sacred

Top Word Pairs in Tweet in G2:
[107] british,people
[107] scale,immigration
[106] people,mislead
[106] mislead,over
[106] over,scale
[106] immigration,birthrate
[106] birthrate,immigrants
[106] immigrants,problems
[105] phillip62895700,british
[90] clown,world

Top Word Pairs in Tweet in G3:
[46] covid,19
[44] health,care
[37] mental,health
[26] illegal,immigration
[16] immigration,status
[13] health,insurance
[12] gas,prices
[11] public,health
[8] read,more
[8] anti,immigrant

Top Word Pairs in Tweet in G4:
[420] doivent,craindre
[418] selon,gouvernement
[418] gouvernement,médias
[418] médias,français
[418] français,doivent
[418] craindre,covid
[418] covid,guerre
[418] guerre,variole
[418] variole,singe
[418] singe,maintenant

Top Word Pairs in Tweet in G5:
[142] previous,year
[142] covid,ban
[141] lottery,winers
[141] winers,previous
[141] year,#dv2021
[141] #dv2021,affected
[141] affected,covid
[141] ban,believes
[141] believes,really
[132] diversity,lottery

Top Word Pairs in Tweet in G6:
[151] toxic,torys
[151] torys,removing
[151] removing,party
[151] party,name
[151] name,election
[151] election,literature
[146] literature,clinging
[138] clinging,toxic
[135] toxic,lame
[121] lame,duck

Top Word Pairs in Tweet in G7:
[274] nova,scotia
[274] scotia,canada
[274] canada,hiring
[274] hiring,nurse
[274] nurse,continuing
[274] continuing,care
[274] care,assistant
[274] assistant,looking
[274] looking,opportunity
[273] nsimmigration,nova

Top Word Pairs in Tweet in G8:
[7] splc,asks
[7] asks,investigation
[7] investigation,demonic
[7] demonic,desantis
[7] desantis,seeks
[7] seeks,fund
[7] fund,anti
[7] anti,immigrant
[7] immigrant,program
[7] program,pandemic

Top Word Pairs in Tweet in G9:
[157] another,child
[157] child,immigrant
[157] immigrant,parents
[157] parents,dies
[157] dies,visiting
[157] visiting,hospital
[157] hospital,ed
[157] ed,commonalities
[157] commonalities,between
[157] between,hiyaan

Top Word Pairs in Tweet in G10:
[63] taxscam,trade
[63] trade,war
[63] war,tariffs
[63] immigration,policy
[62] inflation,boosters
[62] boosters,taxscam
[62] tariffs,deficit
[61] policy,covid
[60] deficit,immigration
[60] covid,crash

Top Replied-To
Top Replied-To in Entire Graph:
@potus
@jessphillips
@shortnormaltrip
@elonmusk
@gbnews
@garylineker
@gop
@wesstreeting
@sophielouisecc
@bfmtv

Top Replied-To in G1:
@johnfetterman
@grumpy_jim45

Top Replied-To in G2:
@gbnews
@garylineker
@sophielouisecc
@nigel_farage
@wesstreeting
@keir_starmer
@philstringer7
@politlcsuk
@talktv
@confidencenac

Top Replied-To in G5:
@potus
@joebiden
@politicalpuppy9
@johncornyn
@hhs_ash
@tomfitton
@juliewilcoxwx
@shawcroft
@kbbaylorbear11
@dean02600306

Top Replied-To in G6:
@conservatives
@derby4europe
@borisjohnson
@campbellclaret
@suesuezep
@doctor_oxford
@kedge23
@mikegalsworthy
@ianboogiebrown
@davidlammy

Top Replied-To in G8:
@ronfilipkowski
@pdavis94027422
@patch103
@mswellsmpa
@dbddrums
@joenemesis11
@wookietim
@avatarmax123
@cathynottoday
@mick7192

Top Replied-To in G9:
@fiennesis

Top Replied-To in G10:
@elonmusk
@marshablackburn
@jcu412
@edawg0066
@steviej789
@senronjohnson
@denisewu
@libgirltoo
@arkyshopaholic
@aegon555

Top Mentioned
Top Mentioned in Entire Graph:
@johnfetterman
@marc_claret75
@nsimmigration
@nishaobgyn
@marla_vous
@christysmith
@phillip62895700
@deaaaths
@govbrazil
@atlrey

Top Mentioned in G1:
@johnfetterman
@oregongovbrown
@immeme0

Top Mentioned in G2:
@phillip62895700
@andrewlbyrne
@sophielouisecc
@scarfer13
@davidwo05684005
@gbnews
@nigel_farage
@garylineker
@wesstreeting
@mbga_uk

Top Mentioned in G3:
@dangrtxt
@tlrd
@jayeformi
@moeckli
@gabethproducer
@manamaine
@noelcocca
@wendy_schmeling

Top Mentioned in G4:
@marc_claret75
@stephfrencho1

Top Mentioned in G5:
@dv2021_matter
@alabdmichael
@potus
@foxnews
@mayraflores2022
@pabloreports
@shahriar0003
@joebiden
@secblinken

Top Mentioned in G6:
@mainmarine
@elrington1952
@darrengrimes_
@borisjohnson
@baratheongirl
@pritipatel
@conservatives
@russincheshire
@derby4europe
@mikegalsworthy

Top Mentioned in G7:
@nsimmigration

Top Mentioned in G8:
@splc
@lesleyabravanel
@shellyrkirchoff
@kleeontheright
@izmks44
@jamesca45920153
@missy8008135
@ballardsigns
@tastymorsel6
@browneaglewings

Top Mentioned in G9:
@nishaobgyn
@sercogroup
@fedupofpollys
@human_rights_d
@ausborderforce

Top Mentioned in G10:
@patway1979
@elonmusk
@calltoactivism
@mayraflores2022
@marshablackburn
@unvaxxed2022
@oldtricks1
@h_stuart8
@6_voiceofreason
@leerios123

Top Tweeters
Top Tweeters in Entire Graph:
@oldlady12345
@dichristine
@mistersalesman
@moonbootica
@loupo85
@geoffrey_payne
@joni_looking
@rjber15
@united
@independent

Top Tweeters in G1:
@oldlady12345
@rjber15
@manmet80
@gpwriter
@squirrel1110
@rebellegrrl
@wellness4you13
@eilonwy24
@nakesha_horsey
@stlhd100

Top Tweeters in G2:
@guardian
@mgt_coull26
@kheatherbrown
@andyhammers
@gilljames54
@fjeb88
@jdminiatures
@timmyvoe
@black_author
@dunholme

Top Tweeters in G3:
@mistersalesman
@topgaming43
@gregmroscoe
@pinchandscrimp
@imman_adan
@litlgrey
@tian_a1
@nazmulmarketer1
@radioblackon
@bythesea66

Top Tweeters in G4:
@loupo85
@lagrosta
@lunace2pama
@rosyjour
@francemob
@franckylarafale
@breizh2008
@fleur2108
@m75sylvie
@danubaud

Top Tweeters in G5:
@5fec93919a544d3
@thehill
@reuters
@foxnews
@nytimes
@washingtonpost
@kimmyann1111
@forbes
@usatoday
@cnn

Top Tweeters in G6:
@tshep42
@thestephenralph
@j_sutherland2
@bbcnews
@peradventur3
@sheelaghg
@gemandmoll
@michaelrosenyes
@nigelheal
@knitagran

Top Tweeters in G7:
@oddy4real
@afrovii
@timileyin_
@elegantsavant
@chicasa
@adebolaa_o
@owhreoluwa
@imohumoren
@kagemartinz
@orayvaar

Top Tweeters in G8:
@thereseosulliv2
@vickie627
@jencages
@1finekitty
@c0de_w4rr10r
@ladyoftheocean1
@medwoman1
@kleeontheright
@carlbotha2
@socalvillaguy

Top Tweeters in G9:
@3wombats
@wildwalkerwoman
@fedupofpollys
@jrweaver55
@raywilton4
@tttezzz
@roseg
@joshdacat
@mangotree_books
@r_quazzy

Top Tweeters in G10:
@solusnan1
@newsjunkie60
@kellyjohnsonhas
@the_nabster
@nutmeg62
@pedroiafan
@bluegirl714
@chbrkr
@fatimap72
@kushbae112