A Bayesian network is a way of representing how different things are related to each other. It is like a map with lots of dots (or "nodes") and lines (or "edges") between them. Each dot can represent something like a fact, a idea or a question, while each line shows how two different ideas or facts are connected. To figure out how something is likely to be, you can follow the different lines between the nodes to see how they are connected.