 Maximal entropy random walk

Maximal entropy random walk (MERW) is a probabilistic model used in the field of statistical mechanics, random processes, and complex networks. It is based on principles of entropy, particularly the notion of maximizing entropy under certain constraints. The fundamental idea is to model a random walker’s movement across a network or graph in such a way that the walker explores the space as evenly as possible, while still respecting the underlying structure of the graph.