soda tax, Twitter, 2/17/2020 1:22:09 PM, 221338


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soda tax_2020-02-16_23-25-36.xlsx
soda tax_2020-02-16_23-25-36.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 17, 2020
Short Description:
soda tax via NodeXL http://bit.ly/2SBbnAQ
@mikebloomberg
@pacers2k7
@briebriejoy
@sxdoc
@wyn1745
@soledadobrien
@but_rly_tho
@realdonaldtrump
@dmess16
@emposts

Top hashtags:
#minimike
#nannybloomberg
#bloombergisaracist
#soda
#tax
#sodatax
#bloomberg
#demdebate

Description:
Description
The graph represents a network of 2,733 Twitter users whose tweets in the requested range contained "soda tax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 07:26 UTC.

The requested start date was Monday, 17 February 2020 at 01:01 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 12-day, 10-hour, 8-minute period from Monday, 03 February 2020 at 01:32 UTC to Saturday, 15 February 2020 at 11:41 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 : 2733
Unique Edges : 3485
Edges With Duplicates : 392
Total Edges : 3877
Number of Edge Types : 4
Replies to : 581
Mentions : 1188
Tweet : 256
MentionsInRetweet : 1852
Self-Loops : 256
Reciprocated Vertex Pair Ratio : 0.0221623240491165
Reciprocated Edge Ratio : 0.0433636097275125
Connected Components : 433
Single-Vertex Connected Components : 138
Maximum Vertices in a Connected Component : 748
Maximum Edges in a Connected Component : 1228
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.420769
Graph Density : 0.000457104989234662
Modularity : 0.826455
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 2,733 Twitter users whose tweets in the requested range contained "soda tax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 07:26 UTC.

The requested start date was Monday, 17 February 2020 at 01:01 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 12-day, 10-hour, 8-minute period from Monday, 03 February 2020 at 01:32 UTC to Saturday, 15 February 2020 at 11:41 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 : soda tax
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:
[10] https://twitter.com/briebriejoy/status/1227825367899156480
[7] https://www.inverse.com/mind-body/the-sugar-tax-has-had-a-surprising-effect-on-soda-companies-
[7] https://www.redstate.com/nick-arama/2019/11/27/bloomberg-its-good-to-tax-the-poor-so-they-cant-afford-things-that-might-hurt-them-like-soda/
[4] https://www.nytimes.com/2017/11/13/health/colombia-soda-tax-obesity.html
[3] https://www.illinoispolicy.org/daily-comics/bloomberg-to-the-rescue/#new_tab
[3] https://thenationalpulse.com/commentary/philadelphia-soda-tax-scandal-haunt-michael-bloomberg/
[3] https://www.nytimes.com/2020/02/10/well/live/half-of-us-face-obesity-dire-projections-show.html
[2] http://bancodeseries.com.br/index.php?action=se&serieid=3442&episode=70&type=
[2] http://stump.marypat.org/article/869/pour-one-out-for-the-cook-county-soda-tax
[2] http://stump.marypat.org/article/799/cook-county-soda-tax-somebody-please-make-it-stop

Top URLs in Tweet in G1:
[3] https://www.nytimes.com/2017/11/13/health/colombia-soda-tax-obesity.html
[3] https://www.illinoispolicy.org/daily-comics/bloomberg-to-the-rescue/#new_tab
[2] http://stump.marypat.org/article/869/pour-one-out-for-the-cook-county-soda-tax
[2] http://stump.marypat.org/article/799/cook-county-soda-tax-somebody-please-make-it-stop
[1] https://twitter.com/DineshDSouza/status/1228390407878275077
[1] https://twitter.com/BenjaminPDixon/status/1226884635910660097
[1] http://stump.marypat.org/article/785/illinois-and-chicago-round-up-soda-taxes-holding-legislation-hostage-tiffs-over-tifs-and-more
[1] https://meep.livejournal.com/2017/08/21/
[1] http://stump.marypat.org/article/789/friday-dumpery-fine-here-s-some-chicago-and-illinois-public-finance-stuff
[1] http://stump.marypat.org/article/795/cook-county-soda-tax-the-current-mess

Top URLs in Tweet in G2:
[1] https://www.bloomberg.com/tosv2.html?vid=&uuid=0c06d510-4a68-11ea-9271-8d7d6cb0a45d&url=L25ld3MvYXJ0aWNsZXMvMjAyMC0wMi0wNS9hbWxvLWhhdGVzLWNhbGxpbmctaXQtYS10YXgtaGlrZS1idXQtbWV4aWNhbnMtYXJlLXBheWluZy1tb3Jl

Top URLs in Tweet in G5:
[1] https://www.nytimes.com/2020/02/11/health/chile-soda-warning-label.html?referringSource=articleShare
[1] https://www.nytimes.com/2020/02/11/health/chile-soda-warning-label.html?smid=nytcore-ios-share
[1] https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003015#abstract0
[1] https://www.washingtonpost.com/lifestyle/food/is-a-soda-tax-the-solution-to-americas-obesity-problem/2015/03/23/b6216864-ccf8-11e4-a2a7-9517a3a70506_story.html
[1] https://news.berkeley.edu/2019/02/21/three-years-into-soda-tax-sugary-drink-consumption-down-more-than-50-percent-in-berkeley/
[1] https://www.redstate.com/nick-arama/2019/11/27/bloomberg-its-good-to-tax-the-poor-so-they-cant-afford-things-that-might-hurt-them-like-soda/

Top URLs in Tweet in G6:
[8] https://twitter.com/briebriejoy/status/1227825367899156480
[2] https://trakt.tv/shows/parks-and-recreation/seasons/5/episodes/2
[2] https://www.chicagotribune.com/opinion/editorials/ct-edit-bloomberg-soda-tax-preckwinkle-0917-20170915-story.html
[2] https://www.nytimes.com/2020/02/10/well/live/half-of-us-face-obesity-dire-projections-show.html
[2] https://www.groupgolfer.com/redirect.php?link=1sqvpK3PxYtkZGhkaH6r
[2] https://www.inverse.com/mind-body/the-sugar-tax-has-had-a-surprising-effect-on-soda-companies-
[2] http://bancodeseries.com.br/index.php?action=se&serieid=3442&episode=70&type=
[1] https://twitter.com/JeffBezos/status/1224154674804084736
[1] https://twitter.com/asiachloebrown/status/1224488295666724865
[1] https://algebra.com/t/1152073

Top URLs in Tweet in G7:
[1] https://twitter.com/FlyThaiMMA/status/1225279709174517760
[1] https://www.youtube.com/watch?v=Mkf_Wc_WaCU&feature=youtu.be


Top URLs in Tweet in G8:
[2] https://torontosun.com/opinion/columnists/sims-the-carbon-tax-is-leaving-b-c-cold
[1] https://slate.com/technology/2010/02/the-little-told-story-of-how-the-u-s-government-poisoned-alcohol-during-prohibition.html
[1] http://yourself.it
[1] https://www.atlasnetwork.org/news/article/canada-should-learn-from-australias-failed-carbon-tax-experiment
[1] https://torontosun.com/2017/08/26/its-time-for-a-tax-revolt-in-canada/wcm/7fe33ef2-bdd5-4ba9-82e9-5a11b3175c66

Top Domains
Top Domains in Tweet in Entire Graph:
[64] twitter.com
[21] marypat.org
[11] nytimes.com
[8] inverse.com
[7] redstate.com
[3] illinoispolicy.org
[3] thenationalpulse.com
[3] taxfoundation.org
[3] theguardian.com
[3] washingtonpost.com

Top Domains in Tweet in G1:
[21] marypat.org
[4] twitter.com
[3] nytimes.com
[3] illinoispolicy.org
[1] livejournal.com
[1] wsj.com
[1] redstate.com
[1] chicagotribune.com
[1] pccy.org
[1] washingtontimes.com

Top Domains in Tweet in G2:
[1] bloomberg.com

Top Domains in Tweet in G5:
[2] nytimes.com
[1] plos.org
[1] washingtonpost.com
[1] berkeley.edu
[1] redstate.com

Top Domains in Tweet in G6:
[35] twitter.com
[3] nytimes.com
[2] trakt.tv
[2] inquirer.com
[2] chicagotribune.com
[2] groupgolfer.com
[2] inverse.com
[2] trib.al
[2] com.br
[1] algebra.com

Top Domains in Tweet in G7:
[1] twitter.com
[1] youtube.com

Top Domains in Tweet in G8:
[3] torontosun.com
[1] slate.com
[1] yourself.it
[1] atlasnetwork.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[52] minimike
[22] nannybloomberg
[13] bloombergisaracist
[11] soda
[10] tax
[7] sodatax
[6] bloomberg
[6] demdebate
[5] dontmutemyhealth
[4] bloombergisracist



Top Hashtags in Tweet in G1:
[3] minimike
[2] trump2020
[2] gop3
[1] minimemike
[1] kag
[1] democrats
[1] countryoverparty
[1] bloomturd
[1] shortie
[1] mikebloomberg

Top Hashtags in Tweet in G6:
[2] trakt
[2] soda
[2] bloomberg
[2] bloombergisracist
[2] tax
[2] obesity
[2] bancodeseries
[1] パープルヘブン
[1] purpleheaven
[1] パープルヘブン秋田

Top Hashtags in Tweet in G7:
[12] bloombergisaracist
[1] bloombergisanoligarch
[1] neverbloomberg

Top Hashtags in Tweet in G8:
[1] auspol
[1] cdnpoli
[1] ableg
[1] medhat
[1] ucp
[1] climatehoax
[1] carbontax

Top Words
Top Words in Tweet in Entire Graph:
[1618] Words in Sentiment List#1: Positive
[1552] Words in Sentiment List#2: Negative
[59] Words in Sentiment List#3: Angry/Violent
[51658] Non-categorized Words
[54829] Total Words
[1688] soda
[1542] tax
[424] people
[337] bloomberg
[328] taxes

Top Words in Tweet in G1:
[257] soda
[214] mikebloomberg
[136] tax
[122] ban
[120] wanted
[118] large
[118] sodas
[117] case
[117] forgot
[117] owned

Top Words in Tweet in G2:
[253] mexico
[253] gasoline
[252] emposts
[251] amlo
[251] cigarettes
[251] soda
[250] promised
[250] raise
[250] taxes
[250] last

Top Words in Tweet in G3:
[167] wyn1745
[167] mini
[167] mike
[167] soda
[167] tax
[166] sxdoc
[166] doesn
[166] measure
[166] america
[166] needs

Top Words in Tweet in G4:
[153] thinks
[153] biden
[153] weak
[153] sanders
[153] warren
[153] liberal
[153] win
[153] harris
[153] booker
[152] politicswolf

Top Words in Tweet in G5:
[143] tax
[136] consumption
[135] sugary
[132] restrictions
[132] front
[132] package
[131] advertising
[131] labelling
[131] following
[131] imposition

Top Words in Tweet in G6:
[156] tax
[153] soda
[34] bloomberg
[26] ãƒ
[18] lunch
[17] special
[15] people
[13] philly
[12] more
[10] trump

Top Words in Tweet in G7:
[81] tax
[80] soda
[75] briebriejoy
[14] bad
[13] lthechief19
[13] really
[13] policies
[12] muslim
[12] registry
[12] gentrification

Top Words in Tweet in G8:
[22] redned59
[21] bightert
[21] paprikalady
[20] reddragonfly19
[20] dawntj90
[19] jamz129
[19] erskinedaniel
[18] jwickers
[16] tax
[15] sylviad32911201

Top Words in Tweet in G10:
[2] better

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[825] soda,tax
[264] cigarettes,soda
[252] raise,taxes
[250] amlo,promised
[250] promised,raise
[250] taxes,mexico
[250] mexico,last
[250] last,month
[250] month,increased
[250] increased,rates

Top Word Pairs in Tweet in G1:
[118] large,sodas
[117] case,forgot
[117] forgot,mikebloomberg
[117] mikebloomberg,wanted
[117] wanted,ban
[117] ban,large
[117] sodas,owned
[117] owned,thousands
[117] thousands,soda
[116] peterhi32200905,case

Top Word Pairs in Tweet in G2:
[251] cigarettes,soda
[250] amlo,promised
[250] promised,raise
[250] raise,taxes
[250] taxes,mexico
[250] mexico,last
[250] last,month
[250] month,increased
[250] increased,rates
[250] rates,everything

Top Word Pairs in Tweet in G3:
[167] mini,mike
[167] soda,tax
[166] wyn1745,mini
[166] mike,doesn
[166] doesn,measure
[166] measure,america
[166] america,needs
[166] needs,soda
[166] tax,shows
[166] shows,inspire

Top Word Pairs in Tweet in G4:
[153] thinks,biden
[153] biden,weak
[153] weak,sanders
[153] sanders,warren
[153] warren,liberal
[153] liberal,win
[153] win,harris
[153] harris,booker
[152] politicswolf,thinks
[4] soda,tax

Top Word Pairs in Tweet in G5:
[132] front,package
[131] restrictions,advertising
[131] advertising,front
[131] package,labelling
[131] labelling,following
[131] following,imposition
[131] imposition,tax
[131] tax,sugary
[131] sugary,drinks
[131] drinks,consumption

Top Word Pairs in Tweet in G6:
[91] soda,tax
[19] ãƒ,ãƒ
[16] lunch,special
[10] stop,frisk
[9] tax,soda
[8] special,lunch
[8] special,11am
[8] 11am,3pm
[7] soda,29
[6] 29,tax

Top Word Pairs in Tweet in G7:
[69] soda,tax
[45] briebriejoy,soda
[13] lthechief19,briebriejoy
[12] briebriejoy,muslim
[12] muslim,registry
[12] registry,soda
[12] tax,gentrification
[12] gentrification,brooklyn
[12] brooklyn,ton
[12] ton,really

Top Word Pairs in Tweet in G8:
[13] dawntj90,paprikalady
[12] ozhomeschool,mattp1949
[12] quasimodem1951,ecosensenow
[12] rosewol01620197,rosemarydiaz13
[12] rosemarydiaz13,temer1ty
[12] temer1ty,asubjectivelife
[12] asubjectivelife,perpetualbbph
[12] perpetualbbph,benjami60182579
[12] anarqueer1,ksulza
[12] ksulza,phoenix_il_bck

Top Replied-To
Top Replied-To in Entire Graph:
@briebriejoy
@mikebloomberg
@realdonaldtrump
@benjaminpdixon
@phillymayor
@drjasonjohnson
@willsommer
@kylekulinski
@berniesanders
@cnn

Top Replied-To in G1:
@mikebloomberg
@benjaminpdixon
@realdonaldtrump
@berniesanders
@thehowie
@lovelygigi33
@cbsnews
@johnmellencamp
@andyostroy
@w_terrence

Top Replied-To in G2:
@emposts

Top Replied-To in G3:
@wyn1745
@sxdoc

Top Replied-To in G4:
@notjustherefor1
@coreybking

Top Replied-To in G5:
@tamarhaspel
@jasonpblock
@nytimes
@jeaniefacts
@_rebel_scum_

Top Replied-To in G7:
@briebriejoy
@lthechief19
@3rdhausson
@dfisch83
@terpgrad01
@dudeness_

Top Replied-To in G8:
@b_bolshevik100
@zerilos
@erskinedaniel
@chris__soda
@glinch72
@jamz129
@heisenburgal2o3
@redned59
@mikebethune
@dunc21157848

Top Replied-To in G9:
@hillshaveeyes02

Top Replied-To in G10:
@royisrael

Top Mentioned
Top Mentioned in Entire Graph:
@emposts
@mikebloomberg
@wyn1745
@sxdoc
@politicswolf
@michaelmarmot
@peterhi32200905
@dmess16
@realdonaldtrump
@mattgrossmann

Top Mentioned in G1:
@mikebloomberg
@peterhi32200905
@realdonaldtrump
@wink_nod
@andyostroy
@sxdoc
@wyn1745
@pjul1984
@benjaminpdixon
@youtube

Top Mentioned in G2:
@emposts
@andreanavarror
@maya0mexlerdo

Top Mentioned in G3:
@wyn1745
@sxdoc
@tonypaul45

Top Mentioned in G4:
@politicswolf
@w8onhim
@darylsturgis
@earthdogelevena
@mel_ankoly

Top Mentioned in G5:
@michaelmarmot
@nytimes
@kristinbash
@jasonpblock
@butterworthy
@tamarhaspel
@oldstyle81
@geojaneiro
@juuhaa

Top Mentioned in G6:

Top Mentioned in G7:
@briebriejoy
@lthechief19
@berniewouldawon
@soledadobrien
@grylxndr
@jaymuhsu
@labrigella
@dfisch83
@taralsamples
@raymond_fagan

Top Mentioned in G8:
@redned59
@bightert
@paprikalady
@dawntj90
@reddragonfly19
@jamz129
@erskinedaniel
@jwickers
@sylviad32911201
@jan_lindsay

Top Mentioned in G9:
@peterproud9
@copia_copma1
@jengelmayer
@makjob786
@matanco999
@bluegreenberg
@a_zionism
@robertgsilvermn
@hollyma87972629
@zimmlaw175

Top Mentioned in G10:
@slimjimjohn1
@vickie627
@nitronut128
@jdw714
@wookietim
@dadx400
@rogerlhaviland
@gpoopon
@laylow88861429
@mrmagoo69733861

Top Tweeters
Top Tweeters in Entire Graph:
@glowinqtae
@missyjo79
@gottalaff
@algebra_com
@twitlertwit
@yojudenz
@jver1
@thehill
@upma23
@faby_nava77

Top Tweeters in G1:
@susaniverach
@alicia45kag
@superyayadize
@gbroh10
@jeanneloberg
@laylaalisha11
@trumpcat04
@fbag_mag
@martylawson
@cbsnews

Top Tweeters in G2:
@faby_nava77
@yordivp
@cnovelo66
@montielabonilla
@moevazquez
@veronicalderon
@mariantop1
@alexbojalil
@mcortess_2010
@robiecur

Top Tweeters in G3:
@missyjo79
@yojudenz
@jver1
@reneecarrollaz
@patriotictexanv
@baalter
@au_bebe
@boyd_2650
@nancyl367
@bppope

Top Tweeters in G4:
@tyberzannxxxx
@skywaker9
@cece_23spalding
@brownandbella
@jjmplsmn
@luizhsrodrigues
@beccanalia
@nathanmillion
@passthemstickss
@janesepmeier

Top Tweeters in G5:
@nytimes
@jackmulligan
@basuashis
@katecushing2
@claudiomendez
@juuhaa
@irenerd
@jonesdavidn
@raj_psyc
@zaynakhayat

Top Tweeters in G6:
@algebra_com
@mercnews
@btibothayley
@ddamato88
@yoncesf
@hermajestybey
@dianavalerie
@jankowski60
@eastbaytimes
@mrsplugg

Top Tweeters in G7:
@jwomack
@scabbyscribe56
@berntothefuture
@jamilsmith
@soledadobrien
@terpgrad01
@stevep_201
@toak19054
@heath_c_walker
@e_iversonii

Top Tweeters in G8:
@justanotweet
@reddragonfly19
@bcbluecon
@gillesnfio
@craigthomler
@teririch
@mstuart1970
@cris_paunescu
@dawntj90
@sylviad32911201

Top Tweeters in G9:
@freddiechurro13
@rururola73
@judgefudge5
@wziminer
@bluegreenberg
@resistdwp
@spain_1957
@blurbwriter
@hebmacman
@rasputinish

Top Tweeters in G10:
@thereseosulliv2
@rickysi16087724
@mtrushmore2016
@vickie627
@trumpswolfx
@nitronut128
@mongo3804
@mdaddythefirst
@wookietim
@lostandlovinit


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