diffundeerub
Diffundeerub is a theoretical construct in network science and information diffusion that describes a diffusion process in which quantities held by nodes in a network are redistributed across neighbors in a way that alternates between forward propagation and partial retraction based on local conditions. It is used primarily in conceptual models of how ideas, items, or signals spread with intermittent backward flow.
Origin and etymology: The term was coined in the early 2020s by researchers exploring diffusion with mass-balance
Mechanism: At each time step, each node retains a portion of its state and distributes the remainder
Applications: Applications include modeling information spread in social or sensor networks, testing privacy-preserving diffusion mechanisms, and
Criticisms: Limitations include a lack of standardized mathematical formalism, sensitivity to parameter choices, and challenges in