#WashTheHate OR @WashTheHate, Twitter, 5/30/2020 10:33:07 PM, 228542


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#WashTheHate OR @WashTheHate_2020-05-30_02-02-52.xlsx
#WashTheHate OR @WashTheHate_2020-05-30_02-02-52.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 30, 2020
Short Description:
#WashTheHate OR @WashTheHate via NodeXL https://bit.ly/3cjQHEn
@washthehate
@bpcwithcharlie
@acttochange
@imm_history
@tzima8
@itsceliaau
@amazinlethi
@nydia_han
@notavirusinfo
@uoftmedicine

Top hashtags:
#washthehate
#apahm
#racismisavirus
#hateisavirus
#covid19

Description:
Description
The graph represents a network of 622 Twitter users whose tweets in the requested range contained "#WashTheHate OR @WashTheHate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 May 2020 at 09:03 UTC.

The requested start date was Saturday, 30 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 13-day, 15-hour, 20-minute period from Saturday, 16 May 2020 at 01:23 UTC to Friday, 29 May 2020 at 16:43 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 : 622
Unique Edges : 588
Edges With Duplicates : 1010
Total Edges : 1598
Number of Edge Types : 5
Mentions : 337
Retweet : 421
MentionsInRetweet : 701
Tweet : 106
Replies to : 33
Self-Loops : 110
Reciprocated Vertex Pair Ratio : 0.0307529162248144
Reciprocated Edge Ratio : 0.0596707818930041
Connected Components : 69
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 452
Maximum Edges in a Connected Component : 1321
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.563572
Graph Density : 0.00251642667412275
Modularity : 0.505427
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 622 Twitter users whose tweets in the requested range contained "#WashTheHate OR @WashTheHate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 May 2020 at 09:03 UTC.

The requested start date was Saturday, 30 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 13-day, 15-hour, 20-minute period from Saturday, 16 May 2020 at 01:23 UTC to Friday, 29 May 2020 at 16:43 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 : #WashTheHate OR @WashTheHate
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:
[8] https://docs.google.com/forms/u/1/d/12SWUkxACynynAZefRW63I-NKfb00ZeW0nuvAq9wpq6I/edit?usp=drive_web
[6] https://www.eventbrite.com/e/x-to-xenophobia-washthehate-tickets-105030091832
[6] https://twitter.com/bpcwithcharlie/status/1262848991089180672
[4] https://www.goodmorningamerica.com/culture/story/coronavirus-hate-crimes-changed-focus-asian-pacific-american-70753209
[3] https://www.washthehate.com/
[3] https://twitter.com/nextshark/status/1263895591156723714
[2] https://www.advocate.com/people/2020/5/22/bd-wong-activist-amazin-lethi-being-asian-and-lgbtq-2020?utm_source=facebook&utm_medium=social&utm_campaign=people&fbclid=IwAR10QKXm4ZSvRpyFFuVXWbzaWGBezYfGjtzvVydBsgmD7-lirD9Y34a94hc
[2] https://twitter.com/JLin7/status/1265708129167134721
[2] https://twitter.com/NGKids/status/1265328959400665089
[2] https://www.instagram.com/p/CAvqfAsJqA5/

Top URLs in Tweet in G1:
[3] https://twitter.com/bpcwithcharlie/status/1262848991089180672

Top URLs in Tweet in G2:
[2] https://www.washthehate.com/
[2] https://twitter.com/NGKids/status/1265328959400665089
[2] https://asiasociety.org/hong-kong/events/webcast-covid-19-racism-pandemic-call-action-asians
[2] https://twitter.com/AsiaSocietyHK/status/1262347366230659072
[1] https://twitter.com/latimes/status/1252905738990739456
[1] https://twitter.com/GMA/status/1263560193998086146
[1] http://www.asianpacificpolicyandplanningcouncil.org/stop-aapi-hate/
[1] https://twitter.com/bpcwithcharlie/status/1262848991089180672
[1] https://forms.gle/NvKNPgi6Z7577CFU8
[1] https://twitter.com/asiasocietyhk/status/1262347366230659072

Top URLs in Tweet in G3:
[2] https://twitter.com/JLin7/status/1265708129167134721
[2] https://www.advocate.com/people/2020/5/22/bd-wong-activist-amazin-lethi-being-asian-and-lgbtq-2020?utm_source=facebook&utm_medium=social&utm_campaign=people&fbclid=IwAR10QKXm4ZSvRpyFFuVXWbzaWGBezYfGjtzvVydBsgmD7-lirD9Y34a94hc
[2] https://www.instagram.com/p/CAvqfAsJqA5/
[2] https://www.huffpost.com/entry/self-care-advice-asian-americans_l_5e83a656c5b6a1bb764f0e45
[1] http://u-v.lgbt/amazinlethi/
[1] https://www.facebook.com/ActToChange
[1] https://twitter.com/NextShark/status/1263940924507254784
[1] https://twitter.com/ActToChange/status/1262754513565306885
[1] https://www.nbcnews.com/news/asian-america/who-vincent-chin-history-relevance-1982-killing-n771291
[1] https://www.youtube.com/watch?v=4bCe_WnJt9k


Top URLs in Tweet in G4:
[3] https://twitter.com/nextshark/status/1263895591156723714
[1] https://www.facebook.com/events/263045894893571/
[1] https://twitter.com/hallypoptv/status/1261053676908494848
[1] https://www.huffpost.com/entry/asian-american-doctors-video-covid-19-racism_n_5ebd8cd5c5b62f5c3026ecb4?fbclid=IwAR1cvF_y3_7Jzm__jIQ5FauxK04wDQsHMidIy_BdIZJLvYqaLU5VoElKCGo
[1] https://twitter.com/washthehate/status/1260570498125058048

Top URLs in Tweet in G5:
[2] https://twitter.com/tzima8/status/1263186130570063872
[2] http://martinmartin.net/collections/collection-01-soul-butterfly-dream/
[2] https://www.latimes.com/opinion/story/2020-05-27/coronavirus-masks-asians-hostility
[1] https://www.linkedin.com/slink?code=e9R-x5c
[1] https://twitter.com/whitneyd/status/1262810300031463424
[1] https://www.ihollaback.org/bystanderintervention/
[1] https://twitter.com/marianliu/status/1262859129187696641
[1] https://apple.news/Ax30optnaS2GnZt3MBrEEQQ
[1] https://www.youtube.com/watch?v=oKYA7WwJU_E&feature=youtu.be

[1] https://www.youtube.com/watch?v=n5nn4Xpk9rY&feature=youtu.be


Top URLs in Tweet in G6:
[1] https://twitter.com/kiwiscigarettes/status/1265810458851733504
[1] http://www.immigranthistory.org/bystander
[1] https://www.washingtonpost.com/opinions/2020/04/02/targeting-asians-asian-americans-will-make-it-harder-stop-covid-19/
[1] https://twitter.com/NotavirusInfo/status/1262512274461294592

Top URLs in Tweet in G7:
[1] https://twitter.com/UofTMed_OID/status/1261364814921826309
[1] https://twitter.com/JSamMD/status/1265468824402477056
[1] https://medicine.utoronto.ca/news/rise-anti-asian-discrimination-during-covid-19-sparks-new-awareness-campaign

Top URLs in Tweet in G9:
[2] http://abcnews.go.com/US/asian-americans-covid-19-racism-virus-hate-reporters/story?id=70810109
[1] https://twitter.com/6abc/status/1264307619482787840

Top Domains
Top Domains in Tweet in Entire Graph:
[56] twitter.com
[8] google.com
[8] youtube.com
[6] huffpost.com
[6] eventbrite.com
[5] instagram.com
[4] goodmorningamerica.com
[3] facebook.com
[3] advocate.com
[3] latimes.com

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

Top Domains in Tweet in G2:
[15] twitter.com
[2] washthehate.com
[2] asiasociety.org
[1] asianpacificpolicyandplanningcouncil.org
[1] forms.gle
[1] nextshark.com
[1] utoronto.ca
[1] carg.info

Top Domains in Tweet in G3:
[9] twitter.com
[4] instagram.com
[4] huffpost.com
[3] advocate.com
[2] youtube.com
[2] acttochange.org
[1] u-v.lgbt
[1] facebook.com
[1] nbcnews.com
[1] weareresonate.com

Top Domains in Tweet in G4:
[5] twitter.com
[1] facebook.com
[1] huffpost.com

Top Domains in Tweet in G5:
[9] twitter.com
[3] latimes.com
[2] youtube.com
[2] martinmartin.net
[1] linkedin.com
[1] ihollaback.org
[1] apple.news
[1] asianpacificpolicyandplanningcouncil.org
[1] washthehate.com
[1] stickylocals.com

Top Domains in Tweet in G6:
[2] twitter.com
[1] immigranthistory.org
[1] washingtonpost.com

Top Domains in Tweet in G7:
[2] twitter.com
[1] utoronto.ca

Top Domains in Tweet in G9:
[2] go.com
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[269] washthehate
[73] apahm
[52] racismisavirus
[41] hateisavirus
[39] covid19
[35] iamnotavirus
[30] asian
[29] aapi
[27] unitedwestand
[20] lgbtq



Top Hashtags in Tweet in G1:
[3] washthehate
[1] walgreens
[1] covid19
[1] iamnotavirus

Top Hashtags in Tweet in G2:
[34] washthehate
[11] apahm
[11] racismisavirus
[8] hateisavirus
[7] iamnotavirus
[5] becool2asians
[5] covid19
[4] uoftmed
[4] webcast
[3] stopaapihate

Top Hashtags in Tweet in G3:
[40] washthehate
[30] apahm
[27] asian
[25] unitedwestand
[19] lgbtq
[17] acttochange
[15] api
[13] antibullying
[12] aapi
[11] racismisavirus

Top Hashtags in Tweet in G4:
[43] washthehate
[6] standwithourheroes
[6] racismisavirus
[5] hateisavirus
[3] asianamericanheritagemonth
[1] representationmatters
[1] iamnotavirus
[1] standtogether
[1] onelove
[1] wearecbsnews

Top Hashtags in Tweet in G5:
[49] washthehate
[5] racismisavirus
[4] hateisavirus
[4] iamnotavirus
[3] love
[3] respect
[3] unapologeticallyasian
[3] wearingiscaring
[2] apahm
[2] asianpacificamericanheritagemonth

Top Hashtags in Tweet in G6:
[16] iamnotavirus
[14] washthehate
[11] hateisavirus
[9] apaheritagemonth
[5] racismisavirus
[5] becool2asians
[3] mentalhealth
[3] iamanally
[3] asianamerican
[3] blacklivesmatter

Top Hashtags in Tweet in G7:
[8] washthehate
[1] covid19

Top Hashtags in Tweet in G8:
[18] apahm
[18] covid19
[18] chinatownstrong
[1] supportchinatown
[1] washthehate
[1] racismisavirus
[1] iamnotcovid19
[1] notoriousmsg
[1] thenotoriousmsg

Top Hashtags in Tweet in G9:
[4] unapologeticallyasian
[3] thisisamerica
[3] hateisavirus
[3] racismisavirus
[2] washthehate
[2] iamnotavirus
[1] silverlining
[1] allamericans
[1] facesofthecure

Top Hashtags in Tweet in G10:
[6] washthehate
[4] apiheritagemonth
[3] diversity
[3] equity
[3] inclusion
[3] racismisavirus
[3] unapologeticallyasian
[2] belonging
[2] universalmasking
[1] blacklivesmatter

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:
[120] covid
[119] queue
[119] trying
[119] pay
[119] photos
[119] mom
[119] funeral
[119] due
[119] deal
[118] bpcwithcharlie

Top Words in Tweet in G2:
[59] washthehate
[34] #washthehate
[34] asian
[28] 19
[26] americans
[25] rise
[22] let's
[22] hate
[22] against
[21] covid

Top Words in Tweet in G3:
[41] acttochange
[40] #washthehate
[38] hate
[30] #apahm
[27] #asian
[25] #unitedwestand
[22] day
[20] thank
[19] #lgbtq
[19] amazinlethi

Top Words in Tweet in G4:
[43] #washthehate
[31] tzima8
[26] itsceliaau
[24] washthehate
[21] asian
[12] bettykpix
[11] hate
[11] bobaguys
[10] covid
[10] 19

Top Words in Tweet in G5:
[49] #washthehate
[10] asian
[5] people
[5] #racismisavirus
[5] don
[4] #hateisavirus
[4] americans
[4] american
[4] martinmartin
[4] #iamnotavirus

Top Words in Tweet in G6:
[16] #iamnotavirus
[14] #washthehate
[14] virus
[11] #hateisavirus
[10] thank
[10] imm_history
[9] final
[9] week
[9] #apaheritagemonth
[9] learn

Top Words in Tweet in G7:
[18] asian
[17] anti
[17] racism
[17] covid
[17] 19
[16] pandemic
[16] uoftmedicine
[16] rise
[15] arrival
[15] reports

Top Words in Tweet in G8:
[18] hong
[18] kong
[18] fever
[18] shares
[18] few
[18] thoughts
[18] recent
[18] covid
[18] 19
[18] anti

Top Words in Tweet in G9:
[13] covid
[13] 19
[13] virus
[13] hate
[13] asian
[13] americans
[13] abc
[11] nydia_han
[11] amplifying
[10] terrifying

Top Words in Tweet in G10:
[6] #washthehate
[4] panelist
[4] dbp_news
[4] during
[4] #apiheritagemonth
[4] shared
[4] story
[4] wore
[4] fun
[4] shirt

Top Word Pairs
Top Word Pairs in Tweet in G2:
[119] asian,americans
[119] covid,19
[119] hate,incidents
[119] against,asian
[119] outbreak,covid
[119] 19,united
[119] united,states
[119] states,hate
[118] incidents,against
[118] americans,rise

Top Word Pairs in Tweet in G3:
[26] hate,day
[21] #antibullying,hate
[20] acttochange,#asian
[20] #asian,#antibullying
[18] day,athleteally
[18] athleteally,ambassador
[18] ambassador,#unitedwestand
[18] #unitedwestand,against
[18] against,forms
[18] forms,hate

Top Word Pairs in Tweet in G4:
[18] tzima8,#washthehate
[13] covid,19
[9] asian,american
[9] tzima8,bobaguys
[9] bobaguys,itsceliaau
[9] itsceliaau,catherinehkim
[9] kpixtv,tzima8
[9] anti,asian
[9] washthehate,friday
[9] friday,22

Top Word Pairs in Tweet in G5:
[10] #washthehate,#washthehate
[9] social,media
[9] #hateisavirus,#washthehate
[9] asian,americans
[9] asian,american
[9] #racismisavirus,#washthehate
[8] anti,asian
[7] asian,bigotry
[7] #washthehate,campaign
[7] martinmartin,2020

Top Word Pairs in Tweet in G6:
[9] final,week
[3] week,#apaheritagemonth
[3] #apaheritagemonth,learn
[3] learn,few
[3] few,things
[3] things,happened
[2] happened,throughout
[2] throughout,history
[2] history,thank
[2] #hateisavirus,#washthehate

Top Word Pairs in Tweet in G7:
[9] covid,19
[9] arrival,covid
[9] 19,pandemic
[9] pandemic,reports
[9] reports,anti
[9] anti,asian
[9] asian,discrimination
[9] discrimination,racism
[9] racism,rise
[9] uoftmedicine,arrival

Top Word Pairs in Tweet in G8:
[17] hong,kong
[15] kong,fever
[15] fever,shares
[15] shares,few
[15] few,thoughts
[15] thoughts,recent
[15] recent,covid
[15] covid,19
[15] 19,anti
[14] anti,asian

Top Word Pairs in Tweet in G9:
[18] covid,19
[18] 19,virus
[18] virus,hate
[18] asian,americans
[18] nydia_han,covid
[18] hate,terrifying
[18] terrifying,asian
[18] americans,please
[18] please,read
[18] read,abc

Top Word Pairs in Tweet in G10:
[13] panelist,dbp_news
[13] dbp_news,during
[13] during,#apiheritagemonth
[13] #apiheritagemonth,shared
[10] shared,story
[10] story,wore
[10] wore,fun
[10] fun,shirt
[10] shirt,heart
[10] heart,heavy

Top Replied-To
Top Replied-To in Entire Graph:
@washthehate
@bettykpix
@unapologeticazn
@itsceliaau
@dontbeafraid08
@maulikpancholy
@michelmma1
@johny_olde
@ngkids
@larissalam

Top Replied-To in G1:
@stopracism

Top Replied-To in G2:
@washthehate
@ngkids
@unapologeticazn
@georgetakei
@uoftmedicine
@uoftmdprogram

Top Replied-To in G3:
@maulikpancholy
@larissalam

Top Replied-To in G4:
@bettykpix
@itsceliaau
@dontbeafraid08
@washthehate
@tzima8

Top Replied-To in G10:
@unapologeticazn

Top Mentioned
Top Mentioned in Entire Graph:
@bpcwithcharlie
@walgreen
@washthehate
@acttochange
@tzima8
@itsceliaau
@amazinlethi
@notoriousmsg
@uoftmedicine
@catherinehkim

Top Mentioned in G1:
@bpcwithcharlie
@walgreen
@walgreens
@washthehate
@iamnotavirus
@racismisavirus
@asamnews

Top Mentioned in G2:
@washthehate
@elaine_quijano
@smcho96
@a3pcon
@asiasocietyhk
@aaaj_aajc
@tzima8
@uoftmdprogram
@admerasia
@aapaonline

Top Mentioned in G3:
@acttochange
@amazinlethi
@washthehate
@athleteally
@vickynguyentv
@todayshow
@goldhouseco
@amazinlethifnd
@theadvocatemag
@wongbd

Top Mentioned in G4:
@tzima8
@itsceliaau
@washthehate
@bobaguys
@catherinehkim
@kpixtv
@hallypoptv
@bettykpix
@nancychennews
@wearecbsnews

Top Mentioned in G5:
@elieeweka

Top Mentioned in G6:
@imm_history
@notavirusinfo
@becool2asians
@asianfemifesto
@reimaginemigrat
@glsencentraloh
@prof_erikalee
@bcncinc
@washthehate
@racismisavirus

Top Mentioned in G7:
@uoftmedicine
@uoftmed_oid
@jsammd
@washthehate
@tzima8
@uoftmedsoc
@drlisarobinson
@richarlisa
@uoft

Top Mentioned in G8:
@notoriousmsg

Top Mentioned in G9:
@abc
@nydia_han
@6abc
@danieldaekim
@samaralynn
@wilcruz365
@racismisavirus
@washthehate
@hateisavirus_

Top Mentioned in G10:
@dbp_news
@jprequiro
@unapologeticazn
@hrc
@ykhong

Top Tweeters
Top Tweeters in Entire Graph:
@hrblock_21
@huffpost
@rudedogreyes
@rebellegrrl
@heymo517
@smaddiebird
@aquarianqueen17
@avonan
@abc
@weirmb

Top Tweeters in G1:
@aquarianqueen17
@hilarieashton
@pisaaaang
@npr
@quiltthewalls
@ronyeap
@mgaywatson
@meimeimememe
@walgreens
@nite_wolfus

Top Tweeters in G2:
@latimes
@forbes
@lildivaz1
@bmerin3
@rajlakra
@originalspin
@georgetakei
@natgeo
@envizion
@harvard

Top Tweeters in G3:
@huffpost
@alexisadkins
@todayshow
@zen4ever2us
@pbs
@nfala1
@eughung
@theadvocatemag
@stonewalluk
@celtics

Top Tweeters in G4:
@heymo517
@sothiachhoeum2
@kpixtv
@deannafrytv
@juliew1124
@dccajun
@stavroszito
@arias22arias
@davidctorres2
@abc7kristensze

Top Tweeters in G5:
@lorio808
@annalynnmartino
@frankendrullat
@johnmark88
@ghostshowers
@manuelzunigajr
@hulonpatejr
@nahji_
@moregigglez
@elieeweka

Top Tweeters in G6:
@bahamamamaty
@simonthetam
@nancywyuen
@tinylibrarian
@tomp__tomjwells
@theonekatkim
@miaparkmiapark
@afstrom
@ashleymnaranjo
@reimaginemigrat

Top Tweeters in G7:
@moriartylab
@uoftmedicine
@uoft
@drsicchia
@samadhimora
@ed4socialchange
@marina_leiva_g
@2020visiongirl
@yipengge
@angelamcheung

Top Tweeters in G8:
@cn27793_ah5_hn_
@vangelus
@appledaxia
@blackhawkomega
@kita_to_minami
@itslikeorange
@iasphyxiationi
@hypercola307
@zev7010
@jekkinomics

Top Tweeters in G9:
@hrblock_21
@rudedogreyes
@abc
@6abc
@seahorse_1
@randynbcla
@jilljpgood1
@nydia_han
@erichorngabc7
@danieldaekim

Top Tweeters in G10:
@hrc
@diversityup
@brihana25
@dbp_news
@jprequiro
@cobrakaipod
@biyplnk
@ykhong
@fitpinayny
@unapologeticazn