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90s nostalgia Twitter NodeXL SNA Map and Report for Wednesday, 14 April 2021 at 11:25 UTC (experimental version)
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From:
SMRFoundation
Uploaded on:
April 14, 2021
Short Description:
90s nostalgia via NodeXL https://bit.ly/3tj5Vmm
@oddpodretro
@here_challenger
@romsmonkey
@warakami_art
@woke8yearold
@ahl9
@tidrpodshow
@pnostalgiapod
@uncletelevision
@pixel66

Top hashtags:
#90s
#nostalgia
#90skid
#retro
#80s
#90stoy
#retrogaming
#mightymax

Description:
Description
The graph represents a network of 1,639 Twitter users whose recent tweets contained "90s nostalgia", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 14 April 2021 at 11:29 UTC.

The tweets in the network were tweeted over the 7-day, 19-hour, 28-minute period from Tuesday, 06 April 2021 at 15:14 UTC to Wednesday, 14 April 2021 at 10:42 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 : 1639
Unique Edges : 1491
Edges With Duplicates : 203
Total Edges : 1694
Number of Edge Types : 5
Replies to : 250
MentionsInRetweet : 163
Mentions : 300
Retweet : 480
Tweet : 501
Self-Loops : 519
Reciprocated Vertex Pair Ratio : 0.0170556552962298
Reciprocated Edge Ratio : 0.0335392762577229
Connected Components : 694
Single-Vertex Connected Components : 306
Maximum Vertices in a Connected Component : 69
Maximum Edges in a Connected Component : 107
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.574371
Graph Density : 0.000422023911956798
Modularity : 0.767951
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,639 Twitter users whose recent tweets contained "90s nostalgia", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 14 April 2021 at 11:29 UTC.

The tweets in the network were tweeted over the 7-day, 19-hour, 28-minute period from Tuesday, 06 April 2021 at 15:14 UTC to Wednesday, 14 April 2021 at 10:42 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 : TwitterSearch
Graph Term : 90s nostalgia
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 : In-Degree

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[17] https://www.amazon.co.uk/s?i=stripbooks&rh=p_27:Paul+Douglas+Lovell&s=relevancerank&text=Paul+Douglas+Lovell&ref=dp_byline_sr_book_1
[11] https://www.amazon.co.uk/Y2K-Diary-Cleo-Howard-Diaries/dp/178456589X
[10] https://twitter.com/writing_show/status/1381484315696058370
[8] https://curvaecalcio.substack.com/
[8] https://www.koimoi.com/bollywood-news/shah-rukh-khan-gauri-khan-old-commerical-from-the-90s-is-pure-nostalgia/
[7] https://www.amazon.com/s?i=digital-text&rh=p_27:Paul+Douglas+Lovell&s=relevancerank&fbclid=IwAR2nDNNNsWWfXtGx2YzI8xxXDo0mEDqSMfgmF3ggTGhW09jQEi5y86hiZ8c&text=Paul+Douglas+Lovell&ref=dp_byline_sr_ebooks_1
[7] https://github.com/TMDStudios/gui_chat
[7] https://twitter.com/CBNostalgia/status/1379447249424412672
[6] https://www.millennialgrace.com/90-reasons-growing-up-in-the-nineties-was-totally-awesome/
[6] https://www.news18.com/news/movies/in-age-sexist-bollywood-90s-heroes-are-still-superstars-while-heroines-judge-reality-shows-3614831.html

Top URLs in Tweet in G1:
[4] https://streamlabs.com/santiagooatechvez/p/home/
[3] http://yourfavoritenerd.com/
[2] https://www.forbes.com/sites/angelalei/2021/04/07/how-this-temporary-tattoo-brand-is-bringing-back-the-best-of-90s-nostalgia/
[2] https://solo.to/BlackPack
[2] https://twitter.com/AngelicArtistG/status/1379790660446912516
[2] https://consent.youtube.com/m?continue=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DWV8R60XOVII&gl=DE&m=0&pc=yt&uxe=23983172&hl=de&src=1
[2] https://wp.me/p8anIU-8D
[2] https://www.youtube.com/watch?v=-bGsD3SPDXI&feature=youtu.be

[2] https://www.youtube.com/watch?v=qF080ivN164&feature=youtu.be

[2] https://twitter.com/Medium/status/1381637743445413888

Top URLs in Tweet in G2:
[3] https://youtube.com/ukretrozone
[2] https://rover.ebay.com/rover/1/711-127632-2357-0/16?swd=3&itm=184756753466&mpre=https%3A%2F%2Fwww.ebay.com%2Fitm%2F-%2F184756753466&user_name=cricketsongcollectibles&spid=2047675&mplxParams=user_name%2Citm%2Cswd%2Cmpre%2C&sojTags=swd%3Dswd%2Cdu%3Dmpre%2Citm%3Ditm%2Cuser_name%3Duser_name%2Cspid%3Dspid%2Csuri%3Dsuri%2C
[2] https://rover.ebay.com/rover/1/711-127632-2357-0/16?swd=3&itm=174716211327&mpre=https%3A%2F%2Fwww.ebay.com%2Fitm%2F-%2F174716211327&user_name=cricketsongcollectibles&spid=2047675&mplxParams=user_name%2Citm%2Cswd%2Cmpre%2C&sojTags=swd%3Dswd%2Cdu%3Dmpre%2Citm%3Ditm%2Cuser_name%3Duser_name%2Cspid%3Dspid%2Csuri%3Dsuri%2C
[2] https://rover.ebay.com/rover/1/711-127632-2357-0/16?swd=3&itm=184743342524&mpre=https%3A%2F%2Fwww.ebay.com%2Fitm%2F-%2F184743342524&user_name=cricketsongcollectibles&spid=2047675&mplxParams=user_name%2Citm%2Cswd%2Cmpre%2C&sojTags=swd%3Dswd%2Cdu%3Dmpre%2Citm%3Ditm%2Cuser_name%3Duser_name%2Cspid%3Dspid%2Csuri%3Dsuri%2C
[2] https://rover.ebay.com/rover/1/711-127632-2357-0/16?swd=3&itm=174716195973&mpre=https%3A%2F%2Fwww.ebay.com%2Fitm%2F174716195973&user_name=cricketsongcollectibles&spid=6115&mplxParams=user_name%2Citm%2Cswd%2Cmpre%2C&sojTags=swd%3Dswd%2Cdu%3Dmpre%2Citm%3Ditm%2Cuser_name%3Duser_name%2Cspid%3Dspid%2Csuri%3Dsuri%2C
[1] https://rover.ebay.com/rover/1/711-127632-2357-0/16?swd=3&itm=174728655331&mpre=https%3A%2F%2Fwww.ebay.com%2Fitm%2F174728655331&user_name=cricketsongcollectibles&spid=6115&mplxParams=user_name%2Citm%2Cswd%2Cmpre%2C&sojTags=swd%3Dswd%2Cdu%3Dmpre%2Citm%3Ditm%2Cuser_name%3Duser_name%2Cspid%3Dspid%2Csuri%3Dsuri%2C
[1] https://rover.ebay.com/rover/1/711-127632-2357-0/16?swd=3&itm=174726259315&mpre=https%3A%2F%2Fwww.ebay.com%2Fitm%2F-%2F174726259315&user_name=cricketsongcollectibles&spid=2047675&mplxParams=user_name%2Citm%2Cswd%2Cmpre%2C&sojTags=swd%3Dswd%2Cdu%3Dmpre%2Citm%3Ditm%2Cuser_name%3Duser_name%2Cspid%3Dspid%2Csuri%3Dsuri%2C

Top URLs in Tweet in G7:
[2] https://www.youtube.com/watch?v=PcFubkzuSyw&feature=youtu.be


Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[357] 90s
[336] nostalgia
[67] 90skid
[61] retro
[41] 80s
[30] 90stoy
[30] retrogaming
[28] mightymax
[25] millenials
[24] podcast



Top Hashtags in Tweet in G1:
[98] nostalgia
[92] 90s
[25] millenials
[12] retro
[10] 80s
[7] 90skid
[7] vintage
[6] cartoons
[6] nostalgic
[5] forsale

Top Hashtags in Tweet in G2:
[76] 90s
[75] nostalgia
[36] 90skid
[28] 90stoy
[28] mightymax
[18] retro
[17] tradingcards
[15] retrogaming
[11] podcast
[11] podernfamily

Top Hashtags in Tweet in G10:
[14] 90s
[9] nostalgia
[7] makeyoucrynostalgia
[5] nintendo
[5] popart
[5] neopopart
[5] retrogaming
[5] 90saesthetic
[5] lofi
[5] lofiaesthetic

Top Words
Top Words in Tweet in Entire Graph:
[1016] nostalgia
[987] 90s
[366] #90s
[350] #nostalgia
[161] 80s
[125] people
[122] back
[107] time
[92] one
[90] early

Top Words in Tweet in G1:
[276] 90s
[261] nostalgia
[100] #nostalgia
[95] #90s
[39] 80s
[27] one
[26] love
[25] time
[25] music
[25] #millenials

Top Words in Tweet in G2:
[80] #90s
[79] #nostalgia
[36] #90skid
[34] back
[32] loved
[28] mighty
[28] max
[28] day
[28] went
[28] crazy

Top Words in Tweet in G3:
[76] people
[76] 90s
[75] miss
[38] nostalgia
[38] better
[38] optimistic
[38] culture
[37] due
[37] cope
[37] times

Top Words in Tweet in G4:
[27] everybody
[27] omg
[27] vibez
[27] 90s
[27] nostalgia
[27] until
[27] time
[27] watch
[27] zeebo
[27] clown

Top Words in Tweet in G5:
[22] nostalgia
[22] trip
[22] part
[22] anyone
[22] remember
[22] chain
[22] stores
[22] called
[22] great
[22] train

Top Words in Tweet in G7:
[2] antique
[2] mall
[2] thrifting
[2] 90s
[2] nostalgia
[2] detroit

Top Words in Tweet in G8:
[8] friend
[5] 90s
[5] nostalgia
[4] streams
[4] well
[4] 4pm
[4] bst
[4] sunday's
[4] chat
[4] 80s

Top Words in Tweet in G9:
[30] nostalgia
[15] 80s
[15] '90s
[15] 1980s
[15] better
[15] movies

Top Words in Tweet in G10:
[14] #90s
[11] nostalgia
[9] #nostalgia
[7] #makeyoucrynostalgia
[6] '90s
[6] here's
[6] collection
[5] diet
[5] super
[5] #nintendo

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[263] 90s,nostalgia
[91] 80s,90s
[77] #90s,#nostalgia
[76] miss,90s
[75] people,miss
[59] #90s,#90skid
[49] nostalgia,90s
[44] 90s,early
[39] late,90s
[39] #nostalgia,#90s

Top Word Pairs in Tweet in G1:
[75] 90s,nostalgia
[43] #90s,#nostalgia
[29] 80s,90s
[25] #nostalgia,#millenials
[16] nostalgia,90s
[14] 90s,early
[11] late,90s
[11] 90s,00s
[9] early,2000s
[9] 90s,kids

Top Word Pairs in Tweet in G2:
[36] #90s,#90skid
[28] loved,mighty
[28] mighty,max
[28] max,back
[28] back,day
[28] day,went
[28] went,crazy
[28] crazy,mini
[28] mini,playsets
[28] playsets,#90s

Top Word Pairs in Tweet in G3:
[75] people,miss
[75] miss,90s
[37] 90s,due
[37] due,nostalgia
[37] nostalgia,cope
[37] cope,times
[37] times,better
[37] better,others
[37] others,people
[37] 90s,full

Top Word Pairs in Tweet in G4:
[27] everybody,omg
[27] omg,vibez
[27] vibez,90s
[27] 90s,nostalgia
[27] nostalgia,until
[27] until,time
[27] time,watch
[27] watch,zeebo
[27] zeebo,clown
[27] clown,episode

Top Word Pairs in Tweet in G5:
[22] nostalgia,trip
[22] trip,part
[22] part,anyone
[22] anyone,remember
[22] remember,chain
[22] chain,stores
[22] stores,called
[22] called,great
[22] great,train
[22] train,store

Top Word Pairs in Tweet in G7:
[2] antique,mall
[2] mall,thrifting
[2] thrifting,90s
[2] 90s,nostalgia
[2] nostalgia,detroit

Top Word Pairs in Tweet in G8:
[4] friend,streams
[4] streams,well
[4] well,4pm
[4] 4pm,bst
[4] bst,sunday's
[4] sunday's,chat
[4] chat,80s
[4] 80s,90s
[4] 90s,nostalgia
[4] nostalgia,sat

Top Word Pairs in Tweet in G9:
[15] 80s,nostalgia
[15] nostalgia,'90s
[15] '90s,nostalgia
[15] nostalgia,1980s
[15] 1980s,better
[15] better,movies

Top Word Pairs in Tweet in G10:
[6] nostalgia,collection
[5] #90s,#nostalgia
[5] here's,'90s
[5] '90s,nostalgia
[5] diet,super
[5] super,nostalgia
[5] nostalgia,#nintendo
[5] #nintendo,#popart
[5] #popart,#neopopart
[5] #neopopart,#retrogaming

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@youtube
@yaundermyskin
@publishinguclan
@ebay
@iamsrk
@gaurikhan
@lovingblogs
@bblogrt
@thebloggerspost
@femalebloggerrt

Top Mentioned in G2:
@ebay

Top Mentioned in G6:
@darwilliamstour
@jmdubosemd
@burgartbioethix
@atulgrovermd
@melissaareed
@chadhayesmd
@mdaware
@brianchiong
@raw_em_md
@ms_martinez_md

Top Mentioned in G7:
@reneepaquette
@catherinekelley
@fightowensfight
@samizayn
@loganpaul
@scottthewoz
@modernvintageg
@radical_reggie
@destinyfomo
@gamesack

Top Mentioned in G8:
@8bitboyuk
@yesterzine
@irishnerdlife
@svalbaz
@zilognmotohost
@stewie55uk
@90sretrollector
@retroredsteve
@varieddeadbeat
@chrisgoplay

Top Mentioned in G10:
@burgerking
@neca_toys
@collectdst
@nickelodeon
@nickrewind
@tmnt

Top Tweeters
Top Tweeters in Entire Graph:
@bridgittelesley
@quibellpaul
@susanneleist
@cnnnews18
@thedextazlab
@ahl9
@sincerelyessie
@beemichelle
@mvbrat91
@aharemboysaga

Top Tweeters in G1:
@quibellpaul
@thedextazlab
@scroll_in
@baseddrworm
@steampunkmuppet
@theregophee
@islayit
@sixthirtydarren
@viciousvibrato
@alisyngayle

Top Tweeters in G2:
@ahl9
@pixel66
@_cristian_vlad_
@sportscardbot
@games_dont_suck
@turquoisecake1
@kuniotchi
@mutanttheater2
@dodgerjr1
@maxou_abwfr

Top Tweeters in G3:
@adudefromnowere
@francvs
@juukuchi
@mrx_uni
@nitetrain_1
@kevinkautzman
@jkid4
@jacobwolinsky
@bussymagnet88
@kelvinsbp

Top Tweeters in G4:
@jaredrusso
@tonypascarella
@sarahhyland87
@dirtbag_daddi
@sabertooth0023
@helen
@tyralen1
@jaarzn
@theoooeooo
@lexiiane

Top Tweeters in G5:
@dappin_trucc
@mleepproduction
@stitchundergro1
@jovannichavez11
@thomas__blue
@thomastankmerch
@johnylitalo
@th_trojan
@edstrainz
@vortexmaster17

Top Tweeters in G6:
@mdaware
@melissaareed
@brianchiong
@raw_em_md
@chadhayesmd
@burgartbioethix
@atulgrovermd
@erekmajka
@evebmd
@farkomd

Top Tweeters in G7:
@wwe
@johnblueriggs
@tjacks_
@juicygamereview
@gamesack
@stopskeletons
@modernvintageg
@destinyfomo
@reneepaquette
@loganpaul

Top Tweeters in G8:
@stewie55uk
@tristabytes
@varieddeadbeat
@90sretrollector
@justmedashv
@retrodetect
@yesterzine
@bilbotbaggins2
@zilognmotohost
@8bitboyuk

Top Tweeters in G9:
@mvbrat91
@scottemovienerd
@foxxyglamkitty
@maxiekat
@ccinemapodcast
@dennischristo4
@ceehax
@jofogolos
@nerdyinnola
@richreviews2

Top Tweeters in G10:
@neca_toys
@ashretweets
@nickelodeon
@burgerking
@jifour98
@nickrewind
@tmnt
@collectdst
@lofifatcat
@uncletelevision


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