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coke (fat OR obese OR obesity OR %22soda tax%22 OR diabetes) _2022-05-27_13-36-23.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
May 27, 2022
Short Description:
coke (fat OR obese OR obesity OR "soda tax" OR diabetes) via NodeXL https://bit.ly/3POL85C
@anfieldwatch
@adaya77
@georgegalloway
@badams820
@maddexic
@hayley__94x
@bobjustbob2020
@faizsays
@vevencals
@ronfilipkowski

Top hashtags:
#diabetes
#coke

Description:
Description
The graph represents a network of 1,856 Twitter users whose tweets in the requested range contained "coke (fat OR obese OR obesity OR "soda tax" OR diabetes) ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 27 May 2022 at 20:37 UTC.

The requested start date was Friday, 27 May 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 13-day, 23-hour, 3-minute period from Friday, 13 May 2022 at 00:07 UTC to Thursday, 26 May 2022 at 23:11 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 : 1856
Unique Edges : 1255
Edges With Duplicates : 836
Total Edges : 2091
Number of Edge Types : 5
Tweet : 397
Replies to : 445
Mentions : 336
Retweet : 391
MentionsInRetweet : 522
Self-Loops : 403
Reciprocated Vertex Pair Ratio : 0.00774593338497289
Reciprocated Edge Ratio : 0.0153727901614143
Connected Components : 711
Single-Vertex Connected Components : 292
Maximum Vertices in a Connected Component : 143
Maximum Edges in a Connected Component : 283
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 1.848758
Graph Density : 0.00037788130867181
Modularity : 0.684273
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,856 Twitter users whose tweets in the requested range contained "coke (fat OR obese OR obesity OR %22soda tax%22 OR diabetes) ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 27 May 2022 at 20:37 UTC.

The requested start date was Friday, 27 May 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 13-day, 23-hour, 3-minute period from Friday, 13 May 2022 at 00:07 UTC to Thursday, 26 May 2022 at 23:11 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 : coke (fat OR obese OR obesity OR %22soda tax%22 OR diabetes)
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:
[7] https://twitter.com/hayley__94x/status/1525767958458470400
[4] https://twitter.com/plorny/status/1529596433418096645
[4] https://1073vip.com
[3] https://www.realfoodforlife.com/did-coke-make-america-fat-2/
[2] https://www.telegraph.co.uk/books/what-to-read/coke-freddie-mercury-telling-madonna-eff-mad-life-dj-fat-tony/
[2] https://listen.samcloud.com/w/119991/1073-VIP-
[2] https://www.youtube.com/watch?v=53FRDgbxEeQ

[2] https://twitter.com/MALNOURlSHED/status/1522770464539611138
[1] https://twitter.com/covergirl53/status/1529516648759164929
[1] https://twitter.com/noahdonotcare/status/1529278581527945222

Top URLs in Tweet in G1:
[7] https://twitter.com/hayley__94x/status/1525767958458470400
[4] https://1073vip.com
[4] https://twitter.com/plorny/status/1529596433418096645
[3] https://www.realfoodforlife.com/did-coke-make-america-fat-2/
[2] https://twitter.com/MALNOURlSHED/status/1522770464539611138
[2] https://listen.samcloud.com/w/119991/1073-VIP-
[2] https://www.telegraph.co.uk/books/what-to-read/coke-freddie-mercury-telling-madonna-eff-mad-life-dj-fat-tony/
[1] https://twitter.com/vfshirts/status/1525033221574078465
[1] https://twitter.com/bailey_e_becker/status/1525131662438215680
[1] https://twitter.com/_JEWELEDCROZIER/status/1525212226788937729

Top URLs in Tweet in G3:
[1] https://abcnews.go.com/Business/wireStory/mcdonalds-temporarily-close-850-stores-russia-83321967

Top URLs in Tweet in G8:
[1] https://www.washingtonpost.com/technology/2021/11/19/tesla-sexual-harassment/

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[5] diabetes
[4] coke
[4] justiceforjohnnydepp
[3] cocacola
[3] pku
[3] sugartax
[3] eurovision
[2] borisjohnson
[2] nowplaying
[2] 1073vip



Top Hashtags in Tweet in G1:
[2] edtwt
[2] diabetes
[2] nowplaying
[2] 1073vip
[1] ange
[1] lifegoeson
[1] bekind
[1] greedypig
[1] astropunkthecowgirl
[1] livewellclub

Top Hashtags in Tweet in G2:
[1] awlive

Top Hashtags in Tweet in G5:
[1] esc2022
[1] eurovision

Top Words
Top Words in Tweet in Entire Graph:
[1390] coke
[899] fat
[375] full
[368] diet
[165] maybe
[163] ll
[149] worse
[147] saturday
[145] james
[145] milner

Top Words in Tweet in G1:
[345] coke
[267] fat
[99] diet
[71] full
[42] diabetes
[34] drink
[33] people
[27] zero
[26] wonder
[25] drug

Top Words in Tweet in G2:
[284] coke
[143] fat
[142] anfieldwatch
[142] full
[142] diet
[141] james
[141] milner
[141] leaving
[141] wembley
[141] saturday

Top Words in Tweet in G3:
[87] georgegalloway
[87] first
[87] mcdonald's
[87] banned
[87] coke
[87] pepsi
[87] russians
[87] healthier
[86] adaya77

Top Words in Tweet in G4:
[2] close

Top Words in Tweet in G5:
[27] don
[27] close
[27] tables
[27] damiano
[27] big
[27] fat
[27] towards
[27] everyone
[27] coke
[27] last

Top Words in Tweet in G6:
[16] hayley__94x
[16] fat
[16] coke
[15] full
[3] crisps
[3] mcdonald
[3] sleep
[3] ice
[2] ready
[2] salted

Top Words in Tweet in G7:
[2] always

Top Words in Tweet in G8:
[15] alleged
[14] jessica
[14] barraza
[14] subject
[14] catcalling
[14] aggressive
[14] touching
[14] tesla's
[14] factory
[14] floor

Top Words in Tweet in G9:
[14] coke
[12] ronfilipkowski
[10] another
[10] cans
[9] put
[9] chemical
[9] pop
[9] high
[9] fructose
[9] corn

Top Words in Tweet in G10:
[15] diet
[14] coke
[14] lose
[12] vevencals
[12] soda
[12] sorry
[12] make
[12] harder
[12] weight
[12] lot

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[360] full,fat
[321] diet,coke
[214] fat,coke
[151] fat,diet
[145] james,milner
[144] coke,worse
[143] milner,leaving
[143] leaving,wembley
[143] wembley,saturday
[143] maybe,coke

Top Word Pairs in Tweet in G1:
[83] diet,coke
[65] full,fat
[64] fat,coke
[24] wonder,fat
[23] fat,drug
[23] drug,dealers
[23] dealers,sell
[23] sell,diet
[20] coke,zero
[8] coke,bottle

Top Word Pairs in Tweet in G2:
[142] full,fat
[142] fat,diet
[142] diet,coke
[141] james,milner
[141] milner,leaving
[141] leaving,wembley
[141] wembley,saturday
[141] saturday,ll
[141] ll,maybe
[141] maybe,coke

Top Word Pairs in Tweet in G3:
[87] georgegalloway,first
[87] first,mcdonald's
[87] mcdonald's,banned
[87] banned,coke
[87] coke,pepsi
[87] pepsi,russians
[87] russians,healthier
[86] adaya77,georgegalloway

Top Word Pairs in Tweet in G5:
[27] don,close
[27] close,tables
[27] tables,damiano
[27] damiano,big
[27] big,fat
[27] fat,towards
[27] towards,everyone
[27] everyone,coke
[27] coke,last
[27] last,year

Top Word Pairs in Tweet in G6:
[15] full,fat
[14] fat,coke
[5] hayley__94x,full
[2] ready,salted
[2] salted,crisps
[2] coke,salt
[2] salt,vinegar
[2] hayley__94x,banana
[2] hayley__94x,mcdonald

Top Word Pairs in Tweet in G8:
[14] jessica,barraza
[14] barraza,alleged
[14] alleged,subject
[14] subject,catcalling
[14] catcalling,aggressive
[14] aggressive,touching
[14] touching,tesla's
[14] tesla's,factory
[14] factory,floor
[14] floor,workers

Top Word Pairs in Tweet in G9:
[9] ronfilipkowski,put
[9] put,another
[9] another,chemical
[9] chemical,pop
[9] pop,cans
[9] cans,high
[9] high,fructose
[9] fructose,corn
[9] corn,syrup
[9] syrup,maybe

Top Word Pairs in Tweet in G10:
[14] diet,coke
[12] soda,sorry
[12] sorry,diet
[12] coke,make
[12] make,harder
[12] harder,lose
[12] lose,weight
[12] weight,lot
[12] lot,ingredients
[12] ingredients,known

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@anfieldwatch
@adaya77
@georgegalloway
@maddexic
@faizsays
@vevencals
@ronfilipkowski
@bender2440
@w_ellsy_82
@blazebabe42069

Top Mentioned in G1:
@thomasprass
@waistpill
@andersonsangela
@b1g_sc4ry_p1nk

Top Mentioned in G2:
@anfieldwatch

Top Mentioned in G3:
@adaya77
@georgegalloway

Top Mentioned in G4:
@mrchingone
@medwoman1
@therrienv
@radicalcentrst
@ihonestlydont19
@jencages
@kc79156846
@kellykr77228030
@ahrehead
@umfpt

Top Mentioned in G5:
@maddexic

Top Mentioned in G6:
@hayley__94x

Top Mentioned in G7:
@drjimphifer
@bagdmilksowhat
@dougmonroe17
@karens_red_pony
@missy8008135
@jim1036
@katmai1113
@missmichelle61
@yamane_patricia
@mini_bubbly

Top Mentioned in G8:
@faizsays

Top Mentioned in G9:
@ronfilipkowski
@bender2440

Top Mentioned in G10:
@vevencals
@pptree22
@chanelscals

Top Tweeters
Top Tweeters in Entire Graph:
@_dammyb_
@johnjoechad
@tacobell
@big_hardidas
@trumpquotesbot
@tholar_williams
@skynews
@shuboogie
@gmitakides
@bbcnews

Top Tweeters in G1:
@trumpquotesbot
@darklyadapted
@gffcontwitch
@tkcomedy2013
@ducksandchucks
@dancinginlife
@biomickwatson
@gordonguthrie
@realmikeflu21
@no_stunts

Top Tweeters in G2:
@big_hardidas
@tholar_williams
@aapril1011
@abybest11
@a__l__i__
@unlovelivers
@mmolaigaone
@clem953
@thisizovo
@litcheute8lfc

Top Tweeters in G3:
@johnjoechad
@gmitakides
@ajaygolmalgobi
@georgegalloway
@wickedfairysad
@yazzy_321
@shinobi22427722
@anttiharjula
@thom7002
@adaya77

Top Tweeters in G4:
@vickie627
@jencages
@medwoman1
@asjah8
@emma34770971
@_kel_varnsen_
@concernedinpv
@taidecker
@therrienv
@aja9696

Top Tweeters in G5:
@phantomdieb
@tamacchii
@x3_michiaki
@alexandrmcqueer
@thedelys
@perlanemesis
@luconiall
@escapewithnello
@lilacbinnie
@jun_orphancross

Top Tweeters in G6:
@natalienoonah
@hayley__94x
@mtothecc
@michelledawexo
@sharlouise
@jcanham1986
@lucy_horseman
@robosborne19
@gambfc
@gale_mike

Top Tweeters in G7:
@mini_bubbly
@bagdmilksowhat
@missmichelle61
@jim1036
@yamane_patricia
@rachel_garniss
@sandrad41222596
@howllr
@scee57
@katmai1113

Top Tweeters in G8:
@shuboogie
@b_sputnik
@maxamaxim
@42_dolphins
@bethemckenzie
@thebusinessnet
@phenomenalpoto
@amysandsand
@blazeluck
@iosfangirl

Top Tweeters in G9:
@drspockets
@kajo503
@susansayshi
@bender2440
@lalalan54305018
@susana87722095
@ronfilipkowski
@jimstinnett
@bettegt1
@historyteachr61

Top Tweeters in G10:
@steevo_matick
@vevencals
@c0llarb0n35
@pinkpepsimax
@chanelscals
@arctimus0
@ckalsxx
@pptree22
@in_crysis
@sadewantsthinn


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