Korean pop culture, in numbers

Screen

Almost every Korean title on Netflix shares an actor with almost every other. Removing the 100 busiest barely dents it.

Of 660 Korean titles with a recorded cast, 639 form a single connected body through shared actors. We expected a few very busy people to be holding it together. Take out the 100 busiest and 93.5% is still one piece.

Join every Korean film and series that has reached a Netflix Top 10 to the actors credited in it, and a shape appears that is hard to see from any one title.

636 titles. 1,355 actors. 3,415 casting slots. Draw a line between two titles whenever they share a credited actor, and the median title is connected to 15 others. 12.12: The Day is connected to 110. Only 17 titles — 2.7% — share nobody with anything else.

Follow those lines and 619 of the 636 titles, 97.3%, form a single connected body. There are 18 separate groups in total: one containing almost everything, and 17 titles sitting alone.

We assumed a few people were holding it together. They are not.

The obvious explanation is a small repertory of very busy actors. Hwang Jung-min appears in 21 of these titles, Ma Dong-seok in 18, Lee Byung-hun and Sul Kyung-gu in 17 each. Thirty actors appear in ten or more. Pull those people out and the whole thing should fall apart.

We tested it. It does not.

Actors removed Titles left Largest connected body Median links per title
none 636 619 (97.3%) 15
10 busiest 626 608 (97.1%) 13
20 busiest 626 607 (97.0%) 11
30 busiest (everyone with 10+ titles) 620 599 (96.6%) 11
50 busiest 613 587 (95.8%) 9
100 busiest 591 557 (94.2%) 7

Remove the hundred busiest actors in Korean Netflix-charting film and television — a seventh of everyone in the set — and the remaining 591 titles are still 94.2% one connected body.

The median number of links does fall, from 15 to 7. Busy actors do a great deal of the connecting. They are simply not load-bearing: take them out and the structure stands on everyone else.

For comparison, removing the hundred least busy actors changes almost nothing, as you would expect: 619 of 633 titles, 97.8%.

Where the connection actually comes from

Half the actors in this set appear in exactly one title. 654 of 1,355 — 48.3%. Only 195 appear in five or more.

So the connectivity is not the work of a famous few. It is the accumulated effect of a very large number of people who did two or three of these, overlapping in different combinations. A production does not need to hire a star to be joined to the rest; it needs to hire almost anyone who has worked before.

Title Linked to Cast recorded
12.12: The Day 110 titles 28
Mr. Sunshine 104 32
Squid Game 69 16
The Thieves 67 11
Pinocchio 64 43

Note that The Thieves reaches 67 titles on eleven recorded cast members while Pinocchio reaches 64 on forty-three. How connected a title is has little to do with how large its cast is.

What would change this number

A link is one shared actor. That is deliberately weak. A single character actor with a scene in two unrelated films joins them here. The median-links figure is the honest companion to the 97.3%: it says the typical title is not hanging on by one thread but sitting in a mesh of fifteen.

Wikidata’s cast lists are incomplete, and they skew towards names someone thought worth writing down. That cuts both ways: the true number of links is higher than we measure, and the share of linking done by famous people is lower than it looks here.

270 titles have no cast recorded at all — 906 Korean titles are matched to Wikidata items and only 636 carry a P161 statement. Those 270 are not counted as isolated; they are absent.

Only Korean citizens are counted. International co-productions lose their non-Korean cast, and with them the links to everything else those people have been in.

And this is cast alone. Directors, writers, producers, studios and agencies are not in it. If the question is whether Korean screen output is made by an overlapping pool of people, cast is one answer, and almost certainly the most conservative one available.

Where these numbers come from

Sources

  • Netflix — Top 10 weekly lists (Tudum), global and per-country, used to decide which titles enter the set · https://www.netflix.com/tudum/top10
  • Wikidata — Country of origin (P495 = Q884) to identify Korean titles; cast member (P161) with citizenship (P27 = Q884) for the cast of each · https://query.wikidata.org

What we checked

  • Titles and people are joined on Wikidata Q-numbers, not on title text. Matching by text put cast on only 317 of 1,005 titles because article names differ from chart names; matching on Q-numbers reaches 636 of 906
  • This piece uses no pageview data at all. Nothing here depends on whether a person has an English Wikipedia article, so the selection bias that shapes our attention panels is absent
  • A link means two titles share at least one credited actor. That is a weak relation on purpose, and it is why we report the median number of links per title (16) beside the size of the connected body, rather than the body alone
  • The robustness test removes actors in order of how many titles they appear in, and is reported against the mirror-image test that removes the same number of the least busy actors. Both are shown
  • 906 of the titles Netflix has charted are matched to a Korean Wikidata item. 636 of those have at least one cast member recorded. The 270 with none are absent from this analysis and counted here

What we left out, and why

  • Any claim about the whole Korean industry. This is what reached a Netflix Top 10, which is a small and unrepresentative slice of what Korea makes
  • Directors, writers, producers, studios and agencies. The link here is cast only. The industry may be far more connected through people we did not measure
  • Foreign cast. We filter to Korean citizenship (P27 = Q884), so international co-productions lose their non-Korean cast and the links those would create
  • Any claim that Wikidata's cast lists are complete. They are not, and they skew towards well-known names — which understates how many links exist and overstates how much of the linking famous people do

The data behind this

Written from the same data

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