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@Mediagazer@mstdn.social
2026-07-23 21:15:52

FilmLA: on-location shooting of shows and movies in Los Angeles fell 12% YoY in Q2, falling to 4,711 shoot days, down from 5,394 in Q2 2025 (Jeremy Fuster/The Wrap)
thewrap.com/creative-content/m

@djghettoredneck@mastodon.djghettoredneck.com
2026-08-23 02:28:50

I'm watching The Lion King (2019) #TheLionKing

@davidaugust@mastodon.online
2026-07-24 17:54:15

I haven’t seen the Odyssey movie yet, but this is an interesting commentary on it and the zeitgeist were in.
#movies

@jake4480@c.im
2026-07-23 16:57:32

Final trailer for Coyote vs. Acme: #CoyoteVsAcme #movies

@compfu@mograph.social
2026-05-24 19:15:29

Just saw Glennkill. Storywise it’s nice and I enjoyed it. It had Wallace and Gromit or Shawn the Sheep vibes.
The CGI sheep were incredible. Not just the wool, also their horns. I just didn’t really buy Wolverine as a shepherd. But as you know from the trailer: he gets killed early on 😀
#movies #TheSheepDetectives

@tgpo@social.linux.pizza
2026-07-23 13:18:41

The Right Wing: Do not hire based on skin color! You must hire the best person for the job!!!
Chris Nolan: Got it! I've cast my #odyssey movie based on who is best for the job.
The Right Wing: No, not like that!
#movies

@djghettoredneck@mastodon.djghettoredneck.com
2026-08-23 02:02:56

I'm watching The Lion King (2019) #TheLionKing

@pavelasamsonov@mastodon.social
2026-07-24 12:36:09

A ladle is rarely counted among a witch's famous implements, but how else are they going to dole out potions from a steaming hot cauldron?
Plus, you can whack a goblin with it if they try to get rowdy.
Demand better from your books, movies, and video games. Demand equippable magic ladles.

@Mediagazer@mstdn.social
2026-08-23 18:10:31

Focus Features' horror hit Obsession crosses $500M in gross at the global box office, becoming the highest grossing film ever with a budget of less than $1M (Jeremy Fuster/The Wrap)
thewrap.com/creative-content/m

@cheryanne@aus.social
2026-07-24 03:42:27

Chemistry Read
A smart, funny culture podcast unpacking the TV shows, movies, books and documentaries we can't stop thinking about, and what they reveal about relationships, friendship, sex, identity and human behaviour...
Great Australian Pods Podcast Directory: greataustralianpods.com/chem…

Chemistry Read   
Screenshot of the podcast listing on the Great Australian Pods website
@alejandrobdn@social.linux.pizza
2026-08-23 13:34:12

Do you know what happens when a fan to movies and series like me comes back from vacation without having seen a single episode of my favorite shows or any cool new releases in the last three weeks?
Well, it's time for Netflix, HBO, Disney Channel… Ha! Just kidding. P2P. Fuck them and their rules about when I can watch all this stuff and at what (ever-changing) price.

@djghettoredneck@mastodon.djghettoredneck.com
2026-08-23 23:43:00

I'm watching Minions & Monsters (2026) #MinionsMonsters

@Mediagazer@mstdn.social
2026-07-24 00:01:29

Internal docs: Paramount plans to launch a free tier for movies and shows in Q3, requiring users to register via email (James Faris/Business Insider)
businessinsider.com/paramount-

@netzschleuder@social.skewed.de
2026-07-23 18:00:07

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@roland@devdilettante.com
2026-07-22 15:14:11

omg i love hong kong "art house" movies: go see chungking express en.wikipedia.org/wiki/Chungkin if you do too!

@Mediagazer@mstdn.social
2026-06-21 04:21:04

Netflix wins rights to the Sesame Street movie; Rideback, the production company behind live-action Lilo & Stitch and Aladdin movies, will produce the feature (Borys Kit/The Hollywood Reporter)
hollywoodreporter.com/movies/m

@davidaugust@mastodon.online
2026-07-20 22:35:01

When Matt Damon found out in this movie they don’t send people to help him get home and he has to help himself get home.
#movies #Odyssey

still frame of Matt Damen as Odysseus in the movie The Odyssey looking very distressed with an open mouth shouting expression
@crell@phpc.social
2026-08-17 23:21:16

"Aren't we the ones building it?"
#AI #LLM

@oligneisti@social.linux.pizza
2026-08-19 09:53:46

I think pairing Dragon: The Bruce Lee Story as a double feature with The Adventures of Priscilla, Queen of the Desert might make people less friendly towards that latter.
#Movies

@djghettoredneck@mastodon.djghettoredneck.com
2026-08-22 02:25:25

I'm watching The Lion King (2019) #TheLionKing

@netzschleuder@social.skewed.de
2026-07-24 14:00:09

douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
networks.skewed.de/net/douban

douban: Douban friendship network (2009). 154908 nodes, 327162 edges. https://networks.skewed.de/net/douban
@Nathan@social.lostinok.com
2026-07-19 03:41:15

I’m a little late to the party, but watched Perfect Days by Wim Wenders tonight. A truly beautiful film that is as close to perfect as you can get. #movies

A man with a small film camera taking a picture.
@stefan@gardenstate.social
2026-07-17 11:30:06

I will be using this insult everywhere now.
#TheOdyssey #meme #movies

robert patterson yelling "plat licker" from the Odyssey
@kurtsh@mastodon.social
2026-06-13 15:54:16

Senator Mark Kelly, former astronaut, explains his top 3 space movies.
Do they overlap with your favorites?
#Space #MarkKelly #movies

@kexpmusicbot@mastodonapp.uk
2026-07-15 09:32:03

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Weyes Blood:
🎵 Movies
#WeyesBlood
weyesblood.bandcamp.com/track/
open.spotify.com/track/6f4itfv

@chris@mstdn.chrisalemany.ca
2026-07-23 05:26:34

I just can’t fathom why I would care whether an actor is male, or female, or trans, or whatever. I am here to see the movie and the characters in it….
If an actor is cast to be a character then it is probably because that seemed like a good fit to the director.
So… my job is really only to decide if I like the movie and the characters. Like every movie. 🤷‍♂️
(I have not seen the movie currently at the centre of the “controversy “)
#theOdyssey #transphobia #movies

@jae@mastodon.me.uk
2026-06-10 01:21:58
@Mediagazer@mstdn.social
2026-07-24 09:15:58

How special-edition popcorn buckets designed for major movies became lucrative; AMC Theatres estimates they will generate $100M in revenue this year (Nicole Sperling/New York Times)
nytimes.com/2026/07/23/bus…

@netzschleuder@social.skewed.de
2026-08-22 23:00:05

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps

movielens_100k: MovieLens 100K (1998). 24129 nodes, 95580 edges. https://networks.skewed.de/net/movielens_100k
@Mediagazer@mstdn.social
2026-06-23 19:40:42

UNIC: cinema admissions fell 4.4% YoY to 873.2M in Europe in 2025 and box office revenue fell 1.2% to €6.9B; US movies make up the bulk of the European market (Zac Ntim/Deadline)
deadline.com/2026/06/cinema-ad

@Techmeme@techhub.social
2026-08-16 12:45:35

A profile of Sony CEO Hiroki Totoki, who aims to transform the company into a business focused on music, movies, video games, and the tech that underpins them (Jason Douglas/Wall Street Journal)
wsj.com/business/media/sony-ce

@Defiance@sfba.social
2026-06-13 00:06:50

Graduation Day (1981)
Speaking of graduations...
The new wave band Felony performs “Gangsters of Rock” at the 55min mark in this slasher movie. I love that band!
This film was made for about $250k but grossed more $24million 🤯
Oh and Vanna White makes an appearance.
#music #movies

@netzschleuder@social.skewed.de
2026-08-23 11:00:05

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps

movielens_100k: MovieLens 100K (1998). 24129 nodes, 95580 edges. https://networks.skewed.de/net/movielens_100k
@andres4ny@social.ridetrans.it
2026-08-16 22:45:00

Stop naming your movies "Brick", we already have enough of those. Thank you.

@mlncn@social.coop
2026-06-17 21:42:42

Boots Riley must believe good movies have the same metric as bad code – WTFs per minute, osnews.com/story/19266/wtfsm/ – and i gotta say it really works for him.

@djghettoredneck@mastodon.djghettoredneck.com
2026-08-20 23:27:19

I'm watching Jungle Cruise (2021) #JungleCruise

@lpryszcz@genomic.social
2026-06-12 07:19:56

cool #movies we seen lately
#cinema #cinemastodon

@anneroth@systemli.social
2026-07-08 17:28:59

Bei @… wird 'Good Luck to You, Leo Grande' als Komödie beschrieben. Ich sehe da eher die schmerzhafte Häutung einer Frau, die ein Leben lang in konservativen Rollenstereotypen gefangen war.
Sehr großartig, wie immer: Emma Thompson.
Jetzt online bei Eurer Bibliothek.

@pgcd@mastodon.online
2026-08-17 16:31:37

My kids wanted to watch a Blink-182 video ("ahaha they run naked") which led me to think about the preponderance of "college" in US culture.
College movies, college music, college as definition of success (even for dropouts) and so many other examples.
In other words, almost our entire world is broadly based on what male twentysomethings find ideal.
And we wonder why everything's going to shit?

@netzschleuder@social.skewed.de
2026-06-23 20:00:05

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps

movielens_100k: MovieLens 100K (1998). 24129 nodes, 95580 edges. https://networks.skewed.de/net/movielens_100k
@bobmueller@mastodon.world
2026-07-26 04:05:19

Home Movies
Check out a home movie from 1967.
bobmuellerwriter.com/home-movi

@fathermcgruder@jorts.horse
2026-07-13 11:50:22

Sad to learn about the passing of Sam Neill. Who knows what my life would be like if I wasn't watching Event Horizon on one fateful evening in 2005? Still one of my favorite movies.
nbcnews.com/news/obituaries/sa

@kurtsh@mastodon.social
2026-07-03 23:54:18

The case to buy physical media: Sony is removing all purchased Studio Canal movies from users libraries - no refunds - including:
▫️ Terminator 2: Judgment Day
▫️ Apocalypse Now: Final Cut
▫️ Hot Fuzz
▫️ Total Recall
▫️ Rambo: First Blood
▫️ Paddington
▫️ Moonlight
▫️ Bridget Jones’s Diary
☑️ Sony Removes Hundreds of Purchased PlayStation Store Movies From Customer Libraries

As the implementation of AI disrupts dozens of industries,
it isn’t surprising that a crop of recent television shows and movies are depicting the villainy of this rapidly changing technology.
After all, screenwriters have been at the forefront of this fight. 
“We were on the front lines as both the people who are being stolen from,
and the people whose work is being used to eliminate them,”
Carolyn Lipka, who co-wrote Hacks’ QuikScribbl episode, told The Flytr…

@soundclamp@mastodon.xyz
2026-06-15 03:53:42

@… archive.org/details/typecatalo

@netzschleuder@social.skewed.de
2026-06-24 16:00:08

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps

movielens_100k: MovieLens 100K (1998). 24129 nodes, 95580 edges. https://networks.skewed.de/net/movielens_100k
@jake4480@c.im
2026-06-18 22:58:30

Loved Backrooms. Found it cool as hell. One of the best flicks I've seen in a WHILE. Bizarre, all kinds of unexplained shit-- just everything I love about movies. Highly recommend.
#horror

@maxheadroom@hub.uckermark.social
2026-06-13 22:47:34

Got movies on my Linux laptop. But my AirPods don't connect to the laptop and I want to enjoy the audio. So I'm installing JellyFin server now to stream to my iPad ... I love it when open systems allow me to solve problems on my own.

@KazuShuSora@social.tchncs.de
2026-08-10 09:01:01

I love, how 'The Odyssey' referenced 'Just a Man' and the beginning of 'Polyphemus' from 'Epic: The Musical', btw 🙂‍↕️💕
#TheOdyssey #EpicTheMusical #Movies

@jon@henshaw.social
2026-06-02 01:27:08

MINI MOVIE REVIEW
"Remarkably Bright Creatures"
This movie was like if a Hallmark or Lifetime movie became watchable and had a budget.
It's simple and fun, and Sally Field still has it.
My wife, as usual, told me I should read the book because it's much better.
#Movies #Netflix

Actress Sally Field as Tova Sullivan, an older woman with gray hair in a bun and glasses, wearing a flannel shirt and apron and holding a long-handled brush, gazing up at Marcellus the giant Pacific octopus inside an aquarium tank. Coral and a small tropical fish are visible in the blue underwater background. Scene from the Netflix film Remarkably Bright Creatures.
@LaChasseuse@mastodon.scot
2026-06-04 10:15:41

🕰️ Those were the days!
Real animation done by a real human.
Today marks 20 YEARS since "Animator vs. Animation" by Alan Becker was posted to newgrounds.com/movies

An animated video showing a stick figure doing battle with a graphic animation app user interface. He plucks icons and uses them as battle weapons.
@nobodyinperson@fosstodon.org
2026-06-14 18:45:57

Watched #Idiocracy (2006) today for the first time while at the gym. It's one of these movies that are both great and horrible at the same time. It also kinda feels like a prophecy... 🥴

@toxi@mastodon.thi.ng
2026-08-12 08:24:02

RE: mastodon.gamedev.place/@protop
This is really beautiful work! 😍
Though as an aside, in the bigger picture: My general problem with this kind of realism in games & movies (and it's bringing tears to my eye…

@thomasfuchs@hachyderm.io
2026-06-22 20:03:06

Just read someone’s opinion that the Steam Machine is bad because it doesn’t “have a disc drive for movies and music”, and I’m wondering if they just woke up from a decade-long coma or something

@netzschleuder@social.skewed.de
2026-07-20 12:00:04

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 12 nodes and 42 edges.
Tags: Social, Fictional, Weighted

moviegalaxies: Moviegalaxies, movies 410-466 (2018). 12 nodes, 42 edges. https://networks.skewed.de/net/moviegalaxies#640
@jae@mastodon.me.uk
2026-07-17 21:11:04

I went down a rabbit hole of reading plot synopsis of gay porn movies. Don’t ask me how I got started on that… but I will say they are very creative.

@cheryanne@aus.social
2026-07-17 03:42:19

2Guys_1Movie
We are just two guys that love to watch movies and talk about them...
Great Australian Pods Podcast Directory: #AusPods

2Guys_1Movie   
Screenshot of the podcast listing on the Great Australian Pods website
@oligneisti@social.linux.pizza
2026-08-10 08:58:26

This might be my favorite movie review ever.
> One of the worst films I have a very screen. Terrible writing, acting and terrible dialogue.
#Movies

@bobmueller@mastodon.world
2026-07-26 14:30:09

I collected some home movies on my family reunion trip last week. #genealogy #familyhistory
bobmuellerwriter.c…

@stefan@gardenstate.social
2026-06-28 04:30:57

Why Is Every Streaming Blockbuster So Bad?
#movies

@kurtsh@mastodon.social
2026-08-18 06:46:00

Man, I still remember, "Save the cheerleader. Save the World" very vividly. This is so sad.
☑️ Hayden Panettiere dead: Star of 'Heroes,' 'Nashville' was 36 - Los Angeles Times
latimes.com/entertainment-arts

@kexpmusicbot@mastodonapp.uk
2026-07-20 13:29:20

🇺🇦 #NowPlaying on KEXP's #Early
Skating Polly:
🎵 Alabama Movies
#SkatingPolly
antslive.bandcamp.com/track/al
open.spotify.com/track/0lHJ9bP

@jae@mastodon.me.uk
2026-06-17 02:25:47

I wonder if there is a correlation between the fact I’ve watched more horror movies since I’ve transitioned.
#trans

@Defiance@sfba.social
2026-06-12 04:03:32

Cyril Cyril & Le Syndicat du Futur - "Le gros Hit" (2026)
If you know me, you know I love silly and absurd tv, movies, music, etc. So I was psyched to hear this groovy, energetic song from The Geneva-based experimental folk/jazz duo Cyril Cyril.
They literally handed the microphone over to their own kids and the result is a delightfully surreal, playful, and minimalist French indie-pop track.
The lyrics are 😂 and the deadpan delivery against the danceable m…

@netzschleuder@social.skewed.de
2026-07-17 12:00:07

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 47 nodes and 219 edges.
Tags: Social, Fictional, Weighted

moviegalaxies: Moviegalaxies, movies 410-466 (2018). 47 nodes, 219 edges. https://networks.skewed.de/net/moviegalaxies#727
@Mediagazer@mstdn.social
2026-08-12 17:40:38

Google's free, ad-supported streamer Google TV Freeplay adds VOD support, letting users choose from over 10,000 shows and movies, and expands its live TV lineup (Emma Roth/The Verge)
theverge.com/tech/978152/googl

@kurtsh@mastodon.social
2026-08-17 16:30:14

Hawaiian Airlines should rename themselves to "Audio Announcement in Progress" because this is the dialog passengers see no fewer than 20 times a flight - interrupting TV/movies, meals, sleep, etc.
And it's rarely safety-related. The mid-flight Hawaiian Air Miles Credit Card pitch is the icing on the cake.
#hawaiianairlines

@cheryanne@aus.social
2026-07-13 06:33:38

Unqualified Movie Reviews
Patrick and Benji review movies and tv shows...
Great Australian Pods Podcast Directory: greataustralianpods.com/unqual

Unqualified Movie Reviews   
Screenshot of the podcast listing on the Great Australian Pods website
@jae@mastodon.me.uk
2026-07-15 02:33:31

When the guy in movies won’t turn around so all you see is his juicy butt.

@Mediagazer@mstdn.social
2026-08-11 19:10:39

Theater execs are split on the Paramount-WBD deal, as Paramount offers to guarantee 30 films annually for three years; California's AG wants asset divestitures (Jeremy Fuster/The Wrap)
thewrap.com/creative-content/m

@netzschleuder@social.skewed.de
2026-06-16 15:00:04

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 70 nodes and 299 edges.
Tags: Social, Fictional, Weighted

moviegalaxies: Moviegalaxies, movies 410-466 (2018). 70 nodes, 299 edges. https://networks.skewed.de/net/moviegalaxies#828
@jake4480@c.im
2026-06-19 11:55:29

It's #LetterboxdFriday and I actually have a #Last4Watched this week. Didn't personally enjoy Twisted or Undertone.
#movies #film

My last 4 watched on Letterboxd - The Mortuary Assistant, Backrooms, Twisted, Undertone
@Mediagazer@mstdn.social
2026-08-10 21:30:36

Hollywood is having its best year since 2019, with global ticket sales up 15% YoY in the first seven months and five movies crossing $1B in revenue (Bloomberg)
bloomberg.com/features/2026-ho

@Mediagazer@mstdn.social
2026-08-09 02:55:56

With the addition of Spider-Man: Brand New Day, four movies in 2026 have earned $1B at the box office globally, the most in one year since the Covid pandemic (Sarah Whitten/CNBC)
cnbc.com/2026/08/05/hollywood-

@cheryanne@aus.social
2026-06-01 08:41:23

Off to the local Limelight Cinema with a friend tomorrow morning (Tuesday) to see the new Star Wars movie. Tradition dictates coffee and cinnamon donuts for our film viewing snack.
#HalPriceTuesday #Movies #StarWars

@netzschleuder@social.skewed.de
2026-07-20 00:00:07

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@Mediagazer@mstdn.social
2026-07-02 06:15:52

Alamo Drafthouse is launching a distribution program for indie movies that were well-received at film festivals but didn't attract traditional distributors (Rebecca Rubin/Variety)
variety.com/2026/film/news/ala

@netzschleuder@social.skewed.de
2026-08-20 13:00:05

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps

movielens_100k: MovieLens 100K (1998). 24129 nodes, 95580 edges. https://networks.skewed.de/net/movielens_100k
@Mediagazer@mstdn.social
2026-06-17 12:20:41

A profile of Silk White, whose movies and TV shows, which have grossed ~$2M in the year to February, are distributed by Filmhub to online platforms like Tubi (Ben Fritz/Wall Street Journal)
wsj.com/bu…

@Mediagazer@mstdn.social
2026-07-29 03:45:40

Letter: WGAE withdrew its sponsorship of NY film festival Urbanworld after it unveiled a new programming section for directors using generative AI in their work (Brooks Barnes/New York Times)
nytimes.com/2026/07/28/movies/

@Mediagazer@mstdn.social
2026-05-27 23:45:41

Advaya Capital acquires Comscore Movies, which collects box office data, for $70M in cash; it will be renamed Rentrak, and Chris Aronson will join the board (Pamela McClintock/The Hollywood Reporter)
hollywoodreporter.com/business…

@netzschleuder@social.skewed.de
2026-08-19 18:00:04

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps

movielens_100k: MovieLens 100K (1998). 24129 nodes, 95580 edges. https://networks.skewed.de/net/movielens_100k
@netzschleuder@social.skewed.de
2026-06-07 18:00:04

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 42 nodes and 109 edges.
Tags: Social, Fictional, Weighted

moviegalaxies: Moviegalaxies, movies 410-466 (2018). 42 nodes, 109 edges. https://networks.skewed.de/net/moviegalaxies#532
@Mediagazer@mstdn.social
2026-06-08 19:35:40

The Super Mario Galaxy Movie becomes the first release of 2026 to cross $1B in global grosses; Michael Jackson biopic Michael is on the verge of crossing $900M (Jeremy Fuster/The Wrap)
thewrap.com/creative-content/m

@netzschleuder@social.skewed.de
2026-08-18 00:00:06

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@Mediagazer@mstdn.social
2026-08-16 15:50:31

A profile of Sony CEO Hiroki Totoki, who aims to transform the company into a business focused on music, movies, video games, and the tech that underpins them (Jason Douglas/Wall Street Journal)
wsj.com/business/media/sony-ce

@netzschleuder@social.skewed.de
2026-06-18 10:00:09

douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
networks.skewed.de/net/douban

douban: Douban friendship network (2009). 154908 nodes, 327162 edges. https://networks.skewed.de/net/douban
@Mediagazer@mstdn.social
2026-05-30 02:45:52

2026 News & Documentary Emmys: HBO/CNN's Prime Minister won best documentary; ABC won the most news awards at eight, followed by Nat Geo's seven and CNN's four (McKinley Franklin/The Hollywood Reporter)
hollywoodreporter.com/movies/m…

@netzschleuder@social.skewed.de
2026-06-04 03:00:04

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 32 nodes and 80 edges.
Tags: Social, Fictional, Weighted

moviegalaxies: Moviegalaxies, movies 410-466 (2018). 32 nodes, 80 edges. https://networks.skewed.de/net/moviegalaxies#112
@netzschleuder@social.skewed.de
2026-06-17 22:00:06

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2026-06-17 17:00:08

dbtropes_feature: Artistic works and their tropes
A bipartite network of artistic works (movies, novels, etc.) and their tropes (stylistic conventions or devices), as extracted from tvtropes.org. The date of this snapshot is uncertain.
This network has 152093 nodes and 3232134 edges.
Tags: Informational, Relatedness, Unweighted

dbtropes_feature: Artistic works and their tropes. 152093 nodes, 3232134 edges. https://networks.skewed.de/net/dbtropes_feature
@netzschleuder@social.skewed.de
2026-06-02 08:00:04

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 50 nodes and 169 edges.
Tags: Social, Fictional, Weighted

moviegalaxies: Moviegalaxies, movies 410-466 (2018). 50 nodes, 169 edges. https://networks.skewed.de/net/moviegalaxies#469
@netzschleuder@social.skewed.de
2026-06-17 00:00:08

douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
networks.skewed.de/net/douban

douban: Douban friendship network (2009). 154908 nodes, 327162 edges. https://networks.skewed.de/net/douban
@netzschleuder@social.skewed.de
2026-08-16 03:00:07

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2026-08-16 21:00:07

douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
networks.skewed.de/net/douban

douban: Douban friendship network (2009). 154908 nodes, 327162 edges. https://networks.skewed.de/net/douban
@netzschleuder@social.skewed.de
2026-08-16 12:00:05

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps

movielens_100k: MovieLens 100K (1998). 24129 nodes, 95580 edges. https://networks.skewed.de/net/movielens_100k
@netzschleuder@social.skewed.de
2026-05-28 23:00:04

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 25 nodes and 91 edges.
Tags: Social, Fictional, Weighted

moviegalaxies: Moviegalaxies, movies 410-466 (2018). 25 nodes, 91 edges. https://networks.skewed.de/net/moviegalaxies#906
@netzschleuder@social.skewed.de
2026-06-15 05:00:06

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
network…

dbpedia_starring: DBpedia film-actor network. 157184 nodes, 281396 edges. https://networks.skewed.de/net/dbpedia_starring
@netzschleuder@social.skewed.de
2026-08-15 04:00:09

dbtropes_feature: Artistic works and their tropes
A bipartite network of artistic works (movies, novels, etc.) and their tropes (stylistic conventions or devices), as extracted from tvtropes.org. The date of this snapshot is uncertain.
This network has 152093 nodes and 3232134 edges.
Tags: Informational, Relatedness, Unweighted

dbtropes_feature: Artistic works and their tropes. 152093 nodes, 3232134 edges. https://networks.skewed.de/net/dbtropes_feature