Kick it out, Twitter, 11/30/2021 12:52:15 AM, 267221


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Kick it out_2021-11-29_05-21-15.xlsx
Kick it out_2021-11-29_05-21-15.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 30, 2021
Short Description:
Kick it out via NodeXL https://bit.ly/32Ljhzm
@fearlesspac
@fearl
@senwarren
@territruckee
@jhdjane
@bethrice
@sdbees1953
@kathycybele
@dlotter
@sandra_united

Top hashtags:
#buildbackbetter
#epitheterased
#auspol
#writers
#writingcommunity
#thanksgiving
#aksc
#nomore

Description:
Description
The graph represents a network of 10,087 Twitter users whose tweets in the requested range contained "Kick it out", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 29 November 2021 at 13:28 UTC.

The requested start date was Monday, 29 November 2021 at 01:01 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 2-day, 10-hour, 24-minute period from Friday, 26 November 2021 at 14:36 UTC to Monday, 29 November 2021 at 01:00 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 : 10087
Unique Edges : 7209
Edges With Duplicates : 10221
Total Edges : 17430
Number of Edge Types : 5
Tweet : 1123
Replies to : 1350
Mentions : 1492
Retweet : 5041
MentionsInRetweet : 8424
Self-Loops : 1142
Reciprocated Vertex Pair Ratio : 0.00430030460490951
Reciprocated Edge Ratio : 0.00856378233719893
Connected Components : 2356
Single-Vertex Connected Components : 828
Maximum Vertices in a Connected Component : 3439
Maximum Edges in a Connected Component : 9796
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.530914
Graph Density : 0.000110185545972132
Modularity : 0.558203
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,087 Twitter users whose tweets in the requested range contained "Kick it out", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 29 November 2021 at 13:28 UTC.

The requested start date was Monday, 29 November 2021 at 01:01 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 2-day, 10-hour, 24-minute period from Friday, 26 November 2021 at 14:36 UTC to Monday, 29 November 2021 at 01:00 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 : Kick it out
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://nypost.com/2021/11/27/lakers-lebron-james-fined-15000-for-obscene-gesture/?utm_campaign=iphone_nyp&utm_source=pasteboard_app
[6] https://t.tiktok.com/i18n/share/video/7035233725826764033/?_d=secCgwIARCbDRjEFSADKAESPgo809jV9YPimJVtZxd4LS%2FDLcRm1YoMjiZTn3391cguth82ukoGEgovIfc4wz8mHwOr7penrZfl84VRvnmOGgA%3D&checksum=b2c1399ff416f3f24b1c89763894dae91f4b96e17d1c7643b2da0a464df91430&language=en&mid=6868583551504222977&preview_pb=0®ion=JP&sec_user_id=MS4wLjABAAAAzSmBO2OTnh51C7NPRzVEBlQauyRX5skxiheFfA_HI-usWxesEzBpFmNfR_nyvjwK&share_app_id=1180&share_item_id=7035233725826764033&share_link_id=CD218A3C-A8BD-4B35-BFFE-865E2E542126&source=h5_t×tamp=1638018763&tt_from=twitter&u_code=d9167jjei9lf5d&user_id=6750919856747627521&utm_campaign=client_share&utm_medium=ios&utm_source=twitter
[4] http://paypal.me/al3xazoniace
[3] https://www.eventbrite.com/e/dismantling-critical-hate-theory-with-joe-basrawi-tickets-208787066737
[3] https://www.goodmorningamerica.com/culture/story/reba-mcentire-ready-kick-off-holidays-christmas-tune-81370519
[3] https://twitch.tv/wordsmiffmusic
[2] https://www.youtube.com/watch?v=uY5ge99dmvg&feature=youtu.be

[2] https://www.youtube.com/watch?v=AN4WtTtAtS0&feature=youtu.be

[2] https://www.uomoelegante.it/
[2] https://www.uomoelegante.it/14-keto-friendly-vegetables-that-wont-kick-you-out-of-ketosis/

Top URLs in Tweet in G2:
[2] https://www.uomoelegante.it/
[2] https://www.uomoelegante.it/14-keto-friendly-vegetables-that-wont-kick-you-out-of-ketosis/
[1] http://www.larsenspride.co.uk/donate
[1] https://www.dailymail.co.uk/news/article-10244193/Human-Rights-Act-reforms-branded-spicy-make-easier-kick-migrants-abuse-law.html
[1] http://dailym.ai/is
[1] https://stellaredgegroup.com/getcharitable/
[1] https://seekcrun.zenfolio.com/p1029382004/edea06780
[1] https://www.workamajig.com/blog/agency-new-year-schedule?utm_content=188901783&utm_medium=social&utm_source=twitter&hss_channel=tw-15632983
[1] https://twitter.com/TheEuropeanLad/status/1464268911042605057
[1] https://careers.bupa.co.uk/early-careers

Top URLs in Tweet in G5:
[1] https://open.spotify.com/playlist/1GozPw5Z00dHGwcaQFdsj4

Top URLs in Tweet in G7:
[1] https://twitter.com/i/web/status/1465122887824818181

Top URLs in Tweet in G10:
[1] https://twitter.com/i/web/status/1465011956188958724

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[548] buildbackbetter
[52] epitheterased
[30] auspol
[30] writers
[30] writingcommunity
[24] thanksgiving
[14] aksc
[10] nomore
[9] hawkeyes
[8] ourwonderland



Top Hashtags in Tweet in G1:
[2] gqp
[1] expelmarjorietaylorgreene
[1] expelboebert

Top Hashtags in Tweet in G2:
[3] chemun
[3] fttb
[3] 49ers
[2] blackfriday
[2] imaceleb
[2] vanguard
[2] longcovid
[2] ironbowl
[2] mufc
[2] breeve

Top Hashtags in Tweet in G3:
[547] buildbackbetter

Top Hashtags in Tweet in G8:
[1] scaramouche
[1] genshinimpact
[1] 原神

Top Words
Top Words in Tweet in Entire Graph:
[3285] people
[3189] kick
[3162] one
[2972] many
[2928] hate
[2910] follow
[2896] boebert
[2896] committed
[2894] fearlesspac
[2894] lauren

Top Words in Tweet in G1:
[2875] fearlesspac
[2873] lauren
[2873] boebert
[2873] mugshot
[2873] one
[2873] many
[2873] crimes
[2873] committed
[2873] hate
[2873] 1000

Top Words in Tweet in G2:
[776] kick
[69] time
[59] people
[58] back
[58] go
[55] ball
[54] shit
[53] one
[53] end
[51] don

Top Words in Tweet in G3:
[1094] drug
[548] prices
[547] #buildbackbetter
[547] allow
[547] medicare
[547] negotiate
[547] cap
[547] pocket
[547] costs
[547] seniors

Top Words in Tweet in G4:
[242] hours
[121] several
[121] people
[121] tell
[121] taken
[121] try
[121] kick
[121] specific
[121] villager
[121] island

Top Words in Tweet in G5:
[113] 19
[113] 23
[113] blackpink's
[113] original
[113] songs
[113] surpassed
[113] 100
[113] million
[113] streams
[113] spotify

Top Words in Tweet in G6:
[4] health
[3] public
[3] kick
[3] think
[3] family
[2] tonight
[2] 40pm
[2] cdc
[2] sent
[2] advisory

Top Words in Tweet in G7:
[3] gt
[3] kick
[3] one
[2] andylumm
[2] shit

Top Words in Tweet in G8:
[57] jack
[57] card
[57] scaramouche
[57] prince
[57] snezhnaya
[57] scaramouche's
[57] face
[57] sure
[57] pretty
[57] same

Top Words in Tweet in G9:
[110] men
[55] blame
[55] women
[55] bad
[55] criminal
[55] actions
[55] talk
[55] domestic
[55] violence
[54] dawnbutlerbrent

Top Words in Tweet in G10:
[54] kick
[53] goal
[53] disaster
[53] chelsea
[53] free
[53] far
[53] field
[53] cleared
[53] jorginho
[53] makes

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2892] lauren,boebert
[2892] boebert,mugshot
[2892] mugshot,one
[2892] one,many
[2892] many,crimes
[2892] crimes,committed
[2892] committed,hate
[2892] hate,1000
[2892] 1000,people
[2892] people,follow

Top Word Pairs in Tweet in G1:
[2873] lauren,boebert
[2873] boebert,mugshot
[2873] mugshot,one
[2873] one,many
[2873] many,crimes
[2873] crimes,committed
[2873] committed,hate
[2873] hate,1000
[2873] 1000,people
[2873] people,follow

Top Word Pairs in Tweet in G2:
[33] end,zone
[22] kick,end
[21] kick,ass
[20] kick,bounds
[20] kick,ball
[16] kick,shit
[16] goal,kick
[16] onside,kick
[13] gonna,kick
[13] field,goal

Top Word Pairs in Tweet in G3:
[547] #buildbackbetter,allow
[547] allow,medicare
[547] medicare,negotiate
[547] negotiate,drug
[547] drug,prices
[547] prices,cap
[547] cap,pocket
[547] pocket,costs
[547] costs,seniors
[547] seniors,penalize

Top Word Pairs in Tweet in G4:
[121] several,people
[121] people,tell
[121] tell,taken
[121] taken,hours
[121] hours,hours
[121] hours,try
[121] try,kick
[121] kick,specific
[121] specific,villager
[121] villager,island

Top Word Pairs in Tweet in G5:
[113] 19,23
[113] 23,blackpink's
[113] blackpink's,original
[113] original,songs
[113] songs,surpassed
[113] surpassed,100
[113] 100,million
[113] million,streams
[113] streams,spotify
[113] spotify,tracks

Top Word Pairs in Tweet in G6:
[2] tonight,40pm
[2] 40pm,cdc
[2] cdc,sent
[2] sent,health
[2] health,advisory
[2] advisory,influenza
[2] influenza,spread
[2] spread,recommendations
[2] recommendations,public
[2] public,health

Top Word Pairs in Tweet in G7:
[2] one,kick

Top Word Pairs in Tweet in G8:
[57] jack,card
[57] card,scaramouche
[57] scaramouche,prince
[57] prince,snezhnaya
[57] snezhnaya,scaramouche's
[57] scaramouche's,face
[57] face,sure
[57] sure,pretty
[57] pretty,same
[56] genshinpoker,jack

Top Word Pairs in Tweet in G9:
[55] men,blame
[55] blame,women
[55] women,bad
[55] bad,criminal
[55] criminal,actions
[55] actions,men
[55] men,talk
[55] talk,domestic
[55] domestic,violence
[54] dawnbutlerbrent,men

Top Word Pairs in Tweet in G10:
[53] goal,disaster
[53] disaster,chelsea
[53] chelsea,free
[53] free,kick
[53] kick,far
[53] far,field
[53] field,cleared
[53] cleared,jorginho
[53] jorginho,makes
[53] makes,massive

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@fearlesspac
@fearl
@senwarren
@whatifjulia
@blackpink
@blinkonspotify
@genshinpoker
@dawnbutlerbrent
@bbcsport
@djcat_meow

Top Mentioned in G1:
@fearlesspac
@fearl
@croneriffic

Top Mentioned in G2:
@larsens_pride
@hawleysjadefav
@vvvisuals1
@seicilop
@thekoryminx
@sumthink
@sm360654
@carteblanche_

Top Mentioned in G3:
@senwarren
@fearlesspac
@fearl
@elienyc

Top Mentioned in G4:
@whatifjulia

Top Mentioned in G5:
@blackpink
@blinkonspotify

Top Mentioned in G6:
@tj2020landslide
@vlamers
@sirgobbersworth
@wendellsherk
@zenl1ke
@constit14834912
@prog_r0k
@beecherdenys
@goobermunch
@yearrooster

Top Mentioned in G7:
@andylumm
@temple_surly
@mrobovsky
@shawnwo78307528
@chris_f_carson
@frugalsues
@spike78495410
@ellethejambo
@doom37455413
@buster88072979

Top Mentioned in G8:
@genshinpoker

Top Mentioned in G9:
@dawnbutlerbrent

Top Mentioned in G10:
@bbcsport

Top Tweeters
Top Tweeters in Entire Graph:
@filafresh
@edinburghwatch
@applesupport
@zsinein
@inspiteoftrump
@yarosisnancy
@bigtimefootball
@kenkircher1
@lizditz
@lesleygsmith3

Top Tweeters in G1:
@yarosisnancy
@kenkircher1
@stockguy61
@onahunttoday
@jamestoupin
@lindacollins11
@gwydion620
@kath2252
@deesbarbara
@pink1963dsw

Top Tweeters in G2:
@hawleysjadefav
@squizzradical
@chrissieminaj01
@eastpointmademe
@arcdersen
@warriorangelcas
@sack216
@ototha
@sportscircusint
@putrossinurlife

Top Tweeters in G3:
@inspiteoftrump
@givemepie360
@reneevoicebrand
@billieo2
@tyberzannxxxx
@trumpwatchnews
@mikereesem
@colourbars
@charlenegapeach
@srauer20

Top Tweeters in G4:
@pissedoffbiotic
@rosepoof
@kirbywhite500
@sighgin
@astraladdiction
@wristonicee
@xcaligrrlx
@rosesandcomics
@addictcab
@elfishh

Top Tweeters in G5:
@zsinein
@lilininidd4
@beulpinglove
@fatedtomeetbla1
@idarkchocmint
@forever_with_bp
@pinklogy
@bpjnkcore
@cinthyaj6
@bp_queensss

Top Tweeters in G6:
@thereseosulliv2
@kareshy_masu
@klee34036780
@applelaw1sandra
@angel_13_rising
@malo_j
@kathryntewson
@akivamcohen
@lostandlovinit
@lindarosenbaum2

Top Tweeters in G7:
@tony__heller
@michaelbranniga
@monstercoyliar
@mcfunny
@jsaholmes
@wendyorent
@geoffschuler
@alex_on_a14
@andrewlazarus4
@ellethejambo

Top Tweeters in G8:
@nan_han_su_vee
@electrolimes
@saixion
@mamadualscaryt
@meloettodio
@skzbtstxt
@_woopsi
@gulalatrodectus
@illiechill
@maybekiamyee

Top Tweeters in G9:
@neutralbrit
@rosiecat2
@tashuurrx
@aminamangera1
@traceyh4ncg
@juliastratton4
@finneyivan1963
@williamjones00
@doyoulikefish2
@charlotteh71

Top Tweeters in G10:
@roylmurry425
@mrzeeshanmasih
@bbcsport
@yekoyadaug
@_lanrewajuo
@lukeconlaund4
@mayback77
@btsss_armyyy13
@bbcmotd
@5livesport