veteran benefits, Twitter, 10/27/2023 2:14:17 PM, 292870


FAQ | Problem?

veteran benefits Twitter NodeXL SNA Map and Report for Friday, 27 October 2023 at 13:27 UTC
veteran benefits Twitter NodeXL SNA Map and Report for Friday, 27 October 2023 at 13:27 UTC
From:
marc_smith
Uploaded on:
October 27, 2023
Short Description:
veteran benefits via NodeXL https://bit.ly/4724Z9X
@hicks_mm
@skilesjohnnie
@deptvetaffairs
@rhocom
@potus
@infantry_bucky
@laurenboebert
@kristianmmeyer
@joeymannarinous
@jim_jordan

Top hashtags:
#veterans
#veteran
#spreadtheword
#gophatesvets
#military
#ca27

Description:
Description
The graph represents a network of 4,019 Twitter users whose recent tweets contained "veteran benefits", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 10/20/2023 12:00:00 AM and 10/27/2023 6:27:46 AM. The network was obtained from Twitter on Friday, 27 October 2023 at 14:11 UTC.

The tweets in the network were tweeted over the 2715-day, 14-hour, 2-minute period from Friday, 20 May 2016 at 23:19 UTC to Friday, 27 October 2023 at 13:22 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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 : 4019
Unique Edges : 4536
Edges With Duplicates : 913
Total Edges : 5449
Number of Edge Types : 9
Retweet : 1864
Replies to : 875
MentionsInReplyTo : 731
Tweet : 521
MentionsInRetweet : 1071
Quote : 121
Mentions : 210
MentionsInQuote : 47
MentionsInQuoteReply : 9
Self-Loops : 702
Reciprocated Vertex Pair Ratio : 0.0149812734082397
Reciprocated Edge Ratio : 0.029520295202952
Connected Components : 782
Single-Vertex Connected Components : 264
Maximum Vertices in a Connected Component : 1432
Maximum Edges in a Connected Component : 2303
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.79025
Graph Density : 0.000268510538109733
Modularity : 0.809641
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 4,019 Twitter users whose recent tweets contained "veteran benefits", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 10/20/2023 12:00:00 AM and 10/27/2023 6:27:46 AM. The network was obtained from Twitter on Friday, 27 October 2023 at 14:11 UTC.

The tweets in the network were tweeted over the 2715-day, 14-hour, 2-minute period from Friday, 20 May 2016 at 23:19 UTC to Friday, 27 October 2023 at 13:22 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : veteran benefits
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:
[14] https://rumble.com/v3ogiaz-va-and-vba-defrauding-veteran-benefits.html
[9] https://buff.ly/46ZkBuc
[9] http://www.lfgf.org
[6] https://www.nbcnews.com/storyline/las-vegas-shooting/more-americans-killed-guns-1968-all-u-s-wars-combined-n807156
[5] https://rumble.com/v3op4m2-pact-fudge-act-explained.html
[5] https://yazing.com/deals/veteransadvantage/Addy80
[4] https://thetyee.ca/Opinion/2015/08/19/Conservative-Attacks-Canadian-Veterans/
[3] https://rollcall.com/2023/10/25/senate-adopts-gun-provision-among-amendments-to-spending-bill/
[3] http://twitch.tv/cowboy_chuck
[3] https://www.congress.gov/bill/117th-congress/senate-bill/3373

Top URLs in Tweet in G1:
[2] https://www.dfas.mil/RetiredMilitary/provide/sbp/SBP-Open-Season-NDAA2023/
[2] https://www.facebook.com/100000559591437/posts/6848562828505636/?mibextid=rS40aB7S9Ucbxw6v
[2] https://townhall.com/columnists/christianjosi/2023/10/24/disabled-veterans-should-be-allowed-to-seek-out-private-sector-help-to-access-benefits-n2630257
[2] https://www.msn.com/en-us/video/news/biden-thanks-jon-stewart-at-pact-act-signing-expands-veteran-healthcare-benefits/vi-AA1iShO9?ocid=socialshare&t=14
[2] https://www.justkindlebooks.com/out-of-the-uniform-back-into-civilian-life-no-nonsense-veterans-benefits-guide/
[2] https://www.foxnews.com/us/senate-passes-kennedy-amendment-protecting-veterans-second-amendment-rights
[2] https://rollcall.com/2023/10/25/senate-adopts-gun-provision-among-amendments-to-spending-bill/
[2] https://loom.ly/knllSks
[1] http://donatestuff.com
[1] https://ow.ly/fGAJ50PKmQn

Top URLs in Tweet in G2:
[1] https://bit.ly/3M9BLNN
[1] https://bit.ly/3M8VzRf
[1] https://bit.ly/3tKyPkw
[1] http://www.VA.gov/PACT

Top URLs in Tweet in G4:
[2] http://VA.gov/PACT
[1] http://Invest.gov
[1] http://va.gov/PACT
[1] https://www.funniestcelebrityinwashington.com/

Top URLs in Tweet in G7:
[6] https://www.nbcnews.com/storyline/las-vegas-shooting/more-americans-killed-guns-1968-all-u-s-wars-combined-n807156

Top URLs in Tweet in G8:
[14] https://rumble.com/v3ogiaz-va-and-vba-defrauding-veteran-benefits.html
[5] https://rumble.com/v3op4m2-pact-fudge-act-explained.html
[3] https://www.congress.gov/bill/117th-congress/senate-bill/3373
[1] https://www.va.gov/resources/the-pact-act-and-your-va-benefits/
[1] https://news.va.gov/press-room/one-year-of-pact-act-a-historic-expansion-of-benefits-and-health-care-for-veterans-and-their-survivors/
[1] https://baird.house.gov/services/mobile-office-hours.htm

Top URLs in Tweet in G9:
[1] http://va.gov/pact
[1] https://blogs.va.gov/VAntage/89643/secretary-mcdonough-tulsa-massacre-remember/
[1] http://VA.gov/PACT
[1] https://www.veterans.senate.gov/2023/10/va-accountability-and-transparency-a-cornerstone-of-quality-care-and-benefits-for-veterans/5eb61a2f-acf5-4ed1-8277-ab42bcc7f247
[1] https://x.com/Eadranai/status/1715911012627415522?s=20

Top URLs in Tweet in G10:
[1] https://www.npr.org/2022/07/29/1114417097/veterans-burn-pit-bill-republican-senators

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[96] veterans
[22] veteran
[19] spreadtheword
[16] gophatesvets
[15] military
[13] ca27
[11] vinoforvets
[9] va
[8] charity
[7] eliminatewepgpo_now



Top Hashtags in Tweet in G1:
[37] veterans
[8] military
[8] va
[7] love
[6] veteranbenefits
[6] medicareadvantage
[5] vabenefits
[4] veteran
[3] usa
[3] veteransupport

Top Hashtags in Tweet in G4:
[7] eliminatewepgpo_now
[7] hr82
[6] s597
[4] eliminatewepgpo
[4] repealwepgpo
[2] veterans
[1] cosponsors597
[1] cosponsorhr82
[1] eliminatewepgp0
[1] socialsecurityfairness2023

Top Hashtags in Tweet in G8:
[1] gopisafascistparty
[1] myspeaker
[1] veteran
[1] betheone
[1] dayofthedeployed

Top Hashtags in Tweet in G9:
[2] veterans
[2] tulsa100
[1] pentagon

Top Words
Top Words in Tweet in Entire Graph:
[2067] veterans
[2062] benefits
[931] veteran
[406] benefit
[396] against
[316] care
[269] help
[264] act
[261] more
[241] votes

Top Words in Tweet in G1:
[228] veterans
[211] benefits
[86] veteran
[84] benefit
[43] more
[37] #veterans
[33] military
[29] service
[28] disability
[26] care

Top Words in Tweet in G2:
[169] veterans
[113] help
[107] deptvetaffairs
[89] care
[86] eligible
[86] burn
[85] orange
[85] toxic
[85] exposed
[85] agent

Top Words in Tweet in G3:
[216] low
[216] votes
[109] benefits
[108] shortage
[108] party
[108] kind
[108] life
[108] formula
[108] baby
[108] moronic

Top Words in Tweet in G4:
[121] benefits
[95] ken_kr80688
[95] sec
[95] soc
[90] paid
[87] veterans
[85] wep
[81] gpo
[65] congress
[56] firefighters

Top Words in Tweet in G5:
[110] benefits
[106] veterans
[104] libsoftiktok
[95] person
[95] homeless
[95] many
[95] full
[95] larrydjonesjr
[94] okay
[93] bl

Top Words in Tweet in G6:
[111] benefits
[111] veterans
[110] infantry_bucky
[110] hear
[110] over
[110] country
[110] fight
[110] combat
[110] having
[110] hell

Top Words in Tweet in G7:
[67] benefits
[44] veteran
[34] cuts
[33] social
[32] security
[27] medicare
[24] entitlements
[24] veterans
[20] including
[19] republicans

Top Words in Tweet in G8:
[76] benefits
[52] veterans
[40] veteran
[33] against
[28] claim
[23] act
[20] vba
[18] voted
[17] service
[16] stop

Top Words in Tweet in G9:
[97] veterans
[87] benefits
[63] act
[63] pact
[61] history
[58] toxic
[58] exposed
[57] families
[57] expansion
[57] largest

Top Words in Tweet in G10:
[57] veterans
[52] desantis
[50] programs
[50] above
[50] florida
[50] created
[50] hometown
[50] excellent
[50] beyond
[50] gone

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[383] veteran,benefits
[258] veterans,benefits
[215] pact,act
[189] having,fight
[162] voted,against
[149] benefits,veterans
[144] social,security
[124] health,care
[119] votes,against
[117] combat,veterans

Top Word Pairs in Tweet in G1:
[28] veterans,benefits
[19] veteran,benefits
[15] learn,more
[13] benefits,veterans
[11] disability,benefits
[11] social,security
[10] pact,act
[8] savi,dual
[8] military,veterans
[8] proceeds,benefit

Top Word Pairs in Tweet in G2:
[85] orange,toxic
[85] agent,orange
[85] eligible,expanded
[85] exposed,burn
[85] pits,agent
[85] burn,pits
[85] toxic,substances
[85] expanded,care
[85] substances,eligible
[85] veterans,exposed

Top Word Pairs in Tweet in G3:
[108] party,votes
[108] moronic,low
[108] life,votes
[108] during,shortage
[108] against,baby
[108] formula,during
[108] baby,formula
[108] votes,party
[108] shortage,veteran
[108] veteran,benefits

Top Word Pairs in Tweet in G4:
[95] soc,sec
[81] wep,gpo
[66] paid,soc
[62] sec,benefits
[52] benefits,veterans
[46] veterans,police
[44] teachers,firefighters
[36] dems,gop
[34] firefighters,others
[34] 40,years

Top Word Pairs in Tweet in G5:
[95] larrydjonesjr,libsoftiktok
[94] benefits,person
[94] many,veterans
[94] person,full
[94] veterans,homeless
[94] homeless,benefits
[94] libsoftiktok,okay
[94] okay,many
[93] full,bl
[5] veterans,benefits

Top Word Pairs in Tweet in G6:
[110] hell,veteran
[110] fight,hell
[110] combat,veterans
[110] veteran,benefits
[110] having,fight
[110] veterans,over
[110] over,country
[110] hear,combat
[110] country,having
[109] infantry_bucky,hear

Top Word Pairs in Tweet in G7:
[42] veteran,benefits
[32] social,security
[20] security,medicare
[15] entitlements,including
[10] including,veteran
[9] cuts,entitlements
[9] veterans,benefits
[7] taxpayer,funded
[7] sooner,expected
[7] cuts,taxpayer

Top Word Pairs in Tweet in G8:
[25] veteran,benefits
[18] veterans,benefits
[14] service,connection
[14] crap,lejeune
[14] screwed,nam
[14] frauds,screwed
[14] stop,posting
[14] approve,crap
[14] lejeune,claim
[14] presumptive,disease

Top Word Pairs in Tweet in G9:
[63] pact,act
[57] act,largest
[57] families,history
[57] benefits,toxic
[57] exposed,veterans
[57] toxic,exposed
[57] largest,expansion
[57] expansion,benefits
[57] veterans,families
[56] history,vetera

Top Word Pairs in Tweet in G10:
[50] excellent,programs
[50] gone,above
[50] created,excellent
[50] florida,created
[50] programs,hometown
[50] desantis,gone
[50] beyond,veterans
[50] veterans,florida
[50] above,beyond
[49] swisswatchguy,desantis

Top Replied-To
Top Replied-To in Entire Graph:
@travis_in_flint
@libsoftiktok
@deptvetaffairs
@repmikelawler
@narendramodi
@potus
@jacksonhinklle
@repdonaldspress
@pierrepoilievre
@speakermccarthy

Top Replied-To in G1:
@edkrassen
@brooksbreaks1
@governorva
@realvinniejames
@wallstreetsilv
@mcbridelawnyc
@bruceironsnfl
@ohnoshetwitnt

Top Replied-To in G2:
@jerryburton15
@senjackyrosen

Top Replied-To in G4:
@potus
@rudysumpter
@repandybiggsaz
@ssworks
@charlie22825276
@kangaroos991
@berthamheld1
@ggfromorange
@gmabarbara014
@maxinetheblack1

Top Replied-To in G5:
@libsoftiktok
@larrydjonesjr
@1stlady_j86

Top Replied-To in G6:
@infantry_bucky

Top Replied-To in G7:
@acyn
@repjeffries
@housegop
@jessjones2212
@feelfroggyleap
@mlantgios
@dabunchlet
@hicks_mm
@subatomicg
@cowboydrewtoo

Top Replied-To in G8:
@deptvetaffairs
@repdonaldspress
@mtgrepp
@charliekirk11
@repmattgaetz
@rep_clyde
@repcarlos
@repelicrane
@housevetaffairs
@repkeithself

Top Replied-To in G9:
@sen_joemanchin
@repdonbacon
@vetaffairsoig
@therealkiyosaki
@maxpcohen

Top Replied-To in G10:
@repgrothman
@repthomasmassie
@_mama_mia10
@sandrahjohnson1

Top Mentioned
Top Mentioned in Entire Graph:
@deptvetaffairs
@infantry_bucky
@jamestate121
@ken_kr80688
@libsoftiktok
@larrydjonesjr
@travisakers
@therightmelissa
@pierrepoilievre
@timkaine

Top Mentioned in G1:
@savidual
@gilacountygov
@red_n_right
@drcaplan
@mariale98335236
@nnnofamerica
@rhondizzle3
@adventist_vets
@chai_snugabug

Top Mentioned in G2:
@deptvetaffairs
@timkaine
@gunowners
@13mikegooding
@evilwoman46111
@fortinnwhite
@secvetaffairs
@13newsnow
@jerryburton15

Top Mentioned in G3:
@jamestate121
@pepperjelly3
@housegop

Top Mentioned in G4:
@ken_kr80688
@repjohnlarson
@rudysumpter
@potus
@repealwep_gpo
@charlie22825276
@repjoecourtney
@markamodeinv2
@senatorromney
@mbno1

Top Mentioned in G5:
@libsoftiktok
@larrydjonesjr
@perilousfreedom
@mario_4411

Top Mentioned in G6:
@infantry_bucky

Top Mentioned in G7:
@repjeffries
@housegop
@lisamarieboothe
@hicks_mm
@thehill
@marymartis4
@potus
@gop
@mikesarzo

Top Mentioned in G8:
@jim_jordan
@repmattgaetz
@tantabeez
@charliekirk11
@repnancymace
@vernbuchanan
@rubengallego
@repkeithself
@cagrown5

Top Mentioned in G9:
@sensherrodbrown
@repspanberger
@terrymoran
@repdonbacon
@travisakers
@repcarbajal
@timkaine
@secvetaffairs
@ushvha
@jamestate121

Top Mentioned in G10:
@swisswatchguy
@_mama_mia10
@gragedustin
@lindatraitz
@thezgraen

Top Tweeters
Top Tweeters in Entire Graph:
@mattmurph24
@joepranaitis
@jmhamiltonblog
@thehill
@nigsti_tigray
@betterw05759703
@1loriking
@johangreg
@sallyagale
@bassaces1

Top Tweeters in G1:
@frackhazreveal
@rocket_rosie
@realfactsvsfake
@moizesufally
@lex18news
@williesband
@erienewsnow
@realvinniejames
@wickedwalnut
@wbbmnewsradio

Top Tweeters in G2:
@belladonamodels
@pushandpulljlm
@abramson1234
@bob_levitt
@pamcurtis4210
@wtf_imtooold
@jcr914
@dalocoengineer
@whocastillo
@maryannegruen

Top Tweeters in G3:
@billieo2
@kat223
@myradsirois1
@itwasacoup
@jjmanring
@jtkstc
@blueteamga
@mimichard417
@shashatheitch22
@richersonjulie

Top Tweeters in G4:
@betterw05759703
@mcnejames
@leahaller55
@chuckdalldorf
@baddcompani
@juliem0rcombe
@gooseeye3
@ojelibom
@mort4short53
@rndog12

Top Tweeters in G5:
@msavaarmstrong
@mjgranger1
@sasky19591
@alwaysthemama
@1sandy_n_austin
@eecc506
@wilsonjohnas
@passthete
@edenfieldpl
@keithk42

Top Tweeters in G6:
@leesutton4
@kittentheonean1
@777cuddy
@abcclothing
@jakedenver6
@barrettzlh
@boumadon
@jaywiliams9
@sheri64167657
@gigisflying

Top Tweeters in G7:
@thehill
@rolandsmartin
@latimes
@abc
@thegeneral_0
@msduhmeanor
@kissofftwit
@lstargazer54
@ksaloha
@jojofromjerz

Top Tweeters in G8:
@clantro
@mustachechuck
@newsmax
@timestwo13
@jch505
@colonelmark4
@shurisfunny2
@gigi69030829
@scotfasco
@colleenmc417

Top Tweeters in G9:
@sallyagale
@micjojd
@lorettabower3
@trumpwatchnews
@vmbritsch
@tigerbeat
@mamav150
@knight201701
@gailwaldby
@helnfitz

Top Tweeters in G10:
@tgbed8v8
@lindatraitz
@bigdintheboro
@sweetgaelicgirl
@maxnordau
@cwilliams1113wy
@draggen75
@whisty111
@erica4ou
@dana_bndana


Tags: