Spreading activation

Spreading activation is a method for searching associative networks, neural networks or semantic networks. The search process is initiated by labeling a set of source nodes (e.g. concepts in a semantic network) with weights or "activation" and then iteratively propagating or "spreading" that activation out to other nodes linked to the source nodes. Most often these "weights" are real values that decay as activation propagates through the network. When the weights are discrete this process is often referred to as marker passing.

Spreading activation models are used in cognitive psychology to model the fan out effect.

Also applications of spreading activation in information retrieval exist. There a network of nodes representing documents and terms contained in these documents is created.