How Time‑Inhomogeneous Markov Chains Reveal Shifting Social Behaviors
By introducing time‑inhomogeneous Markov chains, this article shows how dynamic transition probabilities can model and predict evolving social behaviors such as online activity levels, illustrating the method with a three‑state user engagement example and visualizing future activity trends over a year.