Network hop
A network hop is one traversal along a link or edge from a node to an adjacent node on a network path.
Acing the CCNA Exam: Volume 1 Fundamentals and Protocols
A hop is one journey of a message from one network node to the next node along its path to a destination.
- How it is used
- Explains how Layer 2 forwards messages between adjacent nodes while Layer 3 delivers them across the complete network path.
- How deep it goes
- Defines a hop, traces three forwarding steps, and distinguishes changing MAC addresses from persistent IP addressing.
- Examples
- Uses a PC1-to-SRV1 route through R1 and R2, emphasizing that switch forwarding does not add a hop.
- What you can do after
- Evaluate a network path by counting node-to-node journeys and identifying the MAC address used at each hop.
Read how Acing the CCNA Exam: Volume 1 Fundamentals and Protocols explains network hop →
Graph Neural Networks in Action
A graph hop is one traversal from a node to an adjacent node along an edge.
- How it is used
- Controls how far neighborhood information travels when constructing graph neural network embeddings.
- How deep it goes
- Explains hops through message-passing layers and notes attention can determine depth, without detailing attention mechanisms.
- Examples
- Uses a book co-purchasing graph and contrasts one-hop access with three-layer, three-hop neighborhood access.
- What you can do after
- Evaluate how GNN layer count controls the graph context available to each node representation.
Read how Graph Neural Networks in Action explains network hop →
Related concepts
- data link layerproduced by · The data link layer is the network-model layer that provides frame delivery and link addressing between nodes connected by the same physical or logical link.
- direct model embeddingaddressed by · A model-serving design in which model execution code is integrated with application logic and runs in the same process.
- neural network layerequivalent to · A neural network layer is a computational stage or component that transforms input representations into outputs within a neural network.
- message passingconfigured by · A communication or computation technique in which entities exchange messages to transmit or propagate information, coordinate work, or update state.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.