Difference between revisions of "Graph Theory"
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[[Graph Theory]] | [[Graph Theory]] | ||
==Context== | ==Context== | ||
| + | [[Trust Graph]] | ||
| + | ==Taxonomy== | ||
| + | # By Structure: | ||
| + | ## Undirected Graph: Edges have no direction; connections are bidirectional | ||
| + | ## Directed Graph (Digraph): Edges have direction; connections flow one way | ||
| + | ## Weighted Graph: Edges have assigned values or costs | ||
| + | ## Unweighted Graph: All edges are equal; no values assigned | ||
| + | # By Connectivity: | ||
| + | ## Connected Graph: Path exists between every pair of vertices | ||
| + | ## Disconnected Graph: Some vertices have no connecting path | ||
| + | ## Complete Graph: Every vertex connects to every other vertex | ||
| + | ## Tree: Connected graph with no cycles | ||
| + | # By Cycles: | ||
| + | ## Acyclic Graph: Contains no cycles or loops | ||
| + | ## Cyclic Graph: Contains at least one cycle | ||
| + | ## DAG (Directed Acyclic Graph): Directed graph with no cycles | ||
| + | # By Representation: | ||
| + | ## Simple Graph: No self-loops or multiple edges between vertices | ||
| + | ## Multigraph: Multiple edges allowed between vertices | ||
| + | ## Pseudograph: Self-loops and multiple edges allowed | ||
| + | # By Application: | ||
| + | ## Social Network Graph: Represents relationships between people | ||
| + | ## Knowledge Graph: Represents entities and their relationships | ||
| + | ## Flow Network: Models flow of resources through a network | ||
| + | ## Dependency Graph: Shows dependencies between elements | ||
| + | |||
==References== | ==References== | ||
[[Category: Mathematics]] | [[Category: Mathematics]] | ||
Revision as of 12:21, 25 February 2026
Contents
Meme
Graph Theory
Context
Taxonomy
- By Structure:
- Undirected Graph: Edges have no direction; connections are bidirectional
- Directed Graph (Digraph): Edges have direction; connections flow one way
- Weighted Graph: Edges have assigned values or costs
- Unweighted Graph: All edges are equal; no values assigned
- By Connectivity:
- Connected Graph: Path exists between every pair of vertices
- Disconnected Graph: Some vertices have no connecting path
- Complete Graph: Every vertex connects to every other vertex
- Tree: Connected graph with no cycles
- By Cycles:
- Acyclic Graph: Contains no cycles or loops
- Cyclic Graph: Contains at least one cycle
- DAG (Directed Acyclic Graph): Directed graph with no cycles
- By Representation:
- Simple Graph: No self-loops or multiple edges between vertices
- Multigraph: Multiple edges allowed between vertices
- Pseudograph: Self-loops and multiple edges allowed
- By Application:
- Social Network Graph: Represents relationships between people
- Knowledge Graph: Represents entities and their relationships
- Flow Network: Models flow of resources through a network
- Dependency Graph: Shows dependencies between elements