A Formal Framework for Critical-Mass Collapse in Online Multiplayer Games
For game developers and researchers, this provides a formal vocabulary and model to study online game decline and preservation, though it is an incremental contribution without empirical validation.
The paper proposes a formal framework for analyzing viability collapse in online multiplayer games, introducing concepts like Critical Mass Threshold and Nostalgia Inversion Point, and models post-peak decline using a threshold-sensitive hazard model. The framework is illustrated with case studies but not formally validated.
Online multiplayer games are population-dependent systems whose playability depends on the continued presence of an active player base. We propose a formal framework for reasoning about viability collapse in such systems under explicit scope conditions. The framework introduces a conditional Critical Mass Threshold $Φ$, below which queue times, match quality, or role balance render a game operationally non-viable under a fixed operational profile; an uninhabited runtime taxonomy spanning pre-launch and post-decline states; and a Nostalgia Inversion Point $ψ$, at which cultural memory exceeds active participation. We model post-peak decline using a threshold-sensitive hazard model and show how games in the modeled class can cross below viability under finite official-service horizons or bounded novelty under continuing exposure. Case studies based on public concurrent-player data are used illustratively rather than as formal validation. The contribution of the paper is not a universal law, but a formal vocabulary, a collapse model, and an empirical agenda for studying online game decline, preservation risk, and uninhabited virtual worlds.