Stochastic networks is a research field and modeling approach dedicated to the study of complex systems whose structure, dynamics, or interactions are characterized by inherent randomness or probabilistic variability. It investigates the collective behavior, emergent properties, and performance metrics of networks where connections, node states, or event timings are governed by probability distributions, providing essential theoretical frameworks and analytical tools for understanding phenomena in diverse domains such as communication systems, biological pathways, social interactions, and operations research.