Linked from

The 9 pages that link to Network science, each with the reason it gives.

• Graph theoryNarrower topic: It applies graph-theoretic tools while also addressing empirical systems and their behavior.

• Network effectNarrower topic: Its tools help distinguish a network’s structure from the economic value users derive from it.

• Agent-based modelRelated: An interaction network can specify which agents are able to influence one another.

• Connected componentNarrower topic: Component structure shows whether a network forms one connected system or isolated groups.

• Random graphNarrower topic: Random graphs provide baseline models for comparing observed network structure.

• Complex systemRelated: Network structure determines which components can influence one another.

• Seven Bridges of KönigsbergNarrower topic: The land-and-bridge model anticipates the network representations used across modern sciences.

• Erdős–Gallai theorem (degree sequences)Narrower topic: Degree sequences summarize connectivity patterns that network models seek to reproduce.

• Exponential networkNarrower topic: It compares exponential networks with other broad structural classes.