# What are dynamic networks.

From my understanding, dynamic networks are similar to traditional models except that they function in continuous time and have edges and nodes that evolve over time? Is this a correct understanding? Also why are they probabilistic?

A dynamic network is any time-dependent network $G_{t} := \left(V_{t},E_{t}\right)$, whose vertex and/or edge sets undergo some variation as time evolves.
A myriad of deterministic and stochastic real-world processes have been successfully modelled using dynamics networks, and the possibilities for defining complex dynamic behaviours in terms of varying $V_{t}$ and $E_{t}$ sets is truly endless.