Dynamic cultural product spaces

Selective maturation in cultural product spaces

Manga and VocaDB works create many candidate tag combinations. The central result is selective maturation: repeated use makes some combinations durable, while most are pruned before becoming future grammar.

AniList manga MAL/Jikan replication VocaDB songs 5-year rolling windows PPMI product spaces
Why this belongs in complexity science

From local recombination to population-level grammar

Product spaces

Works are bundles of elements. Co-occurrence makes a time-varying association space, similar in spirit to economic or scientific product spaces.

Adjacent possible and reinforced novelty

New works tend to inherit recipes, then mutate through local and distant opportunity sets. That turns creation into structured movement on a network.

Repeated-attempt dynamics

Candidate combinations have event streams. Their second, third, and later reuses are signals of maturation, not just popularity counts.

What this study adds

Most prior analogies focus on individual success or aggregate novelty. Here the empirical unit is the population-level tag-pair grammar: a combination becomes part of the future space only if it reappears as a positive association later.

Data first

Three panels, three roles

What counts as a data point?

A work with a date and at least two selected tags contributes one bundle. Pairs inside that bundle become candidate associations for a time window.

Why three panels?

AniList manga gives the temporal workhorse, MAL/Jikan tests same-work ontology replication, and VocaDB checks whether the pattern travels to a different participatory music platform.

Methods in brief

A tag pair is not important because it is merely common

t0 -> t1 -> t2

Past structure defines what is old. Current works create candidate pairs. Future windows reveal which pairs enter later grammar.

PPMI edge

Positive pairwise mutual information asks whether two tags co-occur more than expected from their marginal frequencies.

Survival

A candidate pair survives when it becomes a positive-PMI edge in t2. It is abandoned when it was reused in t1 but does not enter future grammar.

Expandable methods details

Matching controls compare survivor and abandoned pairs within period, exposure, and tag popularity strata, then add current PPMI in stricter checks. Persistence nulls compare observed future grammar with tag-composition persistence and whole-recipe bootstrapping.

Figure 1

The product space starts from real work bundles

Interactive panel: tag atlas search

Illustrative projection only. Search a tag, switch panels, and read support/degree on hover or tap.

Figure 2

Observed networks are edge-poor but association-rich

Interactive panel: null distributions and named pairs

Interpretation

Degree-preserving nulls ask: if work sizes and tag frequencies stayed the same, how much association would appear by chance? The observed system keeps fewer positive edges, but the retained edges have much stronger PPMI.

Figure 3

Production is structured, but it does not solve consolidation

Interactive panel: mutation kernels and choice models
Figure 4

Repeated attempts matter, but repetition is not destiny

Interactive panel: reuse gradients, persistence nulls, and controls
Headline result

Durability rises with repeated use more cleanly than with raw PMI alone

Figure 5

Who survives? Locally coherent maturation, not pure periphery

Interactive panel: matched contrasts, new-tag route, and case pairs
Figure 6

A bounded mechanism, not a universal generator

Interactive panel: reinforcement variants and retention tradeoff
Hardening gates

What survives strict checks, and what we dropped

Window and ontology

The repeated-attempt and selective-maturation patterns survive 3-year windows and same-work MAL/Jikan replication, but VocaDB has fewer rolling triples.

Nulls and controls

Exact bipartite swaps, tag-composition persistence, whole-recipe bootstrapping, and reinforcement controls bound the interpretation.

Boundaries

The evidence does not support a power-law PPMI law, a 1959 phase transition, a simple reinforcement solution, a pure periphery law, or a hit-prediction framing.

Negative-control catalog
Evidence status

A compact map of what the evidence supports

Synthesis

A selective-maturation mechanism

1. Selected backbone

Observed product spaces contain fewer positive associations than degree-preserving chance, but the retained associations are much stronger.

2. Structured production

New works usually inherit recognizable tag recipes and mutate them through local, modular, distant, and entrant-tag opportunities.

3. Repeated use matters

Pairs born with more repeated uses persist through a larger share of future windows across AniList, MAL/Jikan, and VocaDB.

4. Boundary

This is a mechanism map, not a solved autonomous generator or hit-prediction model. High PMI alone can be niche, most repeated pairs still disappear, and tested reinforcement variants remain incomplete.