dcmx/patient-zero

Patient-zero is a niche academic or experimental project focused on network theory and epidemiology-style information diffusion. With 0 stars and 0 forks over nearly 4 years, it represents a stagnant code repository with no community adoption or commercial traction. The Independent Cascade Model (ICM) is a standard mathematical framework established in the early 2000s; while source inference is a valid research problem, this specific implementation offers no apparent technical moat or unique dataset. It functions primarily as a reference implementation of known algorithms. From a competitive standpoint, it is easily displaced by more robust, active libraries like NDlib (Network Diffusion Library) or custom scripts built on top of NetworkX or igraph. Frontier labs like OpenAI or Google have no strategic interest in this specific niche, but the logic could be trivially replicated by any LLM with coding capabilities or a junior data scientist using standard graph theory packages. The defensibility is minimal because the project lacks both the 'network effect' of a user base and the 'technical depth' of a proprietary or groundbreaking approach.