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Monopartite graph

A monopartite graph is a graph containing one type of node, with edges connecting nodes within that single node set.

How 2 Manning books explain it

Graph Algorithms for Data Science

A monopartite graph is a graph containing one type of node, with relationships connecting nodes within that single node set.

How it is used
Supports graph-algorithm analysis by reducing a network to one node and relationship type.
How deep it goes
Defines the structure and works through projections, directedness, weighting, Cypher patterns, and Jaccard-based relationship weights.
Examples
Uses follower networks, tweet–hashtag networks, retweet amplification, user mentions, and overlapping shopping baskets.
What you can do after
Apply it via Cypher to model or project single-type networks for centrality and community analysis.

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Knowledge Graphs and LLMs in Action

A monopartite subnetwork is a network containing one type of node, with connections only between nodes of that type.

How it is used
Frames protein interaction analysis as a single-node-type component within a multisource disease knowledge graph.
How deep it goes
Defines the structure and demonstrates extraction, density, component, and boundary analysis, but defers formal metric derivations.
Examples
Uses human proteins, celiac disease, disease-associated protein sets, and extracted PPI pathways.
What you can do after
Evaluate disease pathways by extracting their protein subnetworks and measuring internal and external connectivity.

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Related concepts

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.