What occurs in a fork node when a token arrives?

In the context of process modeling, when a token arrives at a fork node, it is duplicated onto each outgoing edge. This means that the token will create multiple copies that are then distributed to all the paths available at the fork. Each outgoing edge from the fork node represents a different path or branch in the model, and duplicating the token ensures that the process can simultaneously continue along all these paths. This feature is essential in workflows where parallel processes can be executed concurrently, allowing for more complex and efficient model behavior.

This behavior contrasts with other node functions. For instance, a merge node would consolidate multiple incoming paths into a single flow, but that does not apply to a fork node, which is focused more on branching out rather than coming together. Understanding this distinction and functionality of a fork node is crucial for accurately modeling and interpreting workflows.