👉 Seed math, also known as small-world or random network theory, is a concept that describes how complex networks can be constructed from simple rules, often through random processes. It posits that most nodes (or entities) in a network are not directly connected but can be reached through a small number of intermediaries, known as "short paths." This phenomenon is characterized by high clustering (nodes tend to form tightly connected groups) and short average path lengths (the average distance between any two nodes is relatively small). The seed math behind it involves probabilistic models, such as the Watts-Strogatz model, which simulate how randomness and local rules can lead to networks with these distinctive properties.
