Semantic Network TheorySemantic Network Theory proposes that

information in LTM is organized systematically in the form of overlapping network or grids of concepts that are interconnected and interrelated by meaningful links.

One of the more widely accepted theories is the Semantic network theory.

According to this model, each concept, called a node, is linked with a number of other nodes. Thus, when retrieve information, the activation of one node causes other related nodes to be activated also.

This system of storing information in terms of meaning is quite an effective means of storage or filling system, which enables efficient and effective retrieval of information.

Semantic Network Theory

According to Semantic Network Theory, the retrieval of information from LTM begins with someone searching for a particular region of the memory and then tracing associations for links among memories in the regions, rather than randomly searching the vast information stores in LTM.

This is like a search engine on the internet.(Google)

Semantic Network Theory

Semantic Network Theory also proposes that a specific retrieval cue activates relevant nodes, which in turn activates other nodes to which they are linked.

This shorter the links between nodes in the network, the stronger the association between them and the less time it takes to activate related concepts to which they are linked.

Longer links between nodes indicate a weaker association between them and thus the longer it takes to activate the information that is the further away.

Activation of one node stimulates activation of other links nodes across the network.

The more nodes that are activated, the quicker the retrieval of information from LTM.

Semantic Network Theory