Difference between revisions of "Graph Theory"

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(Context)
(Taxonomy)
 
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## Flow Network: Models flow of resources through a network
 
## Flow Network: Models flow of resources through a network
 
## Dependency Graph: Shows dependencies between elements
 
## Dependency Graph: Shows dependencies between elements
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## [[Trust Graph]]: Allows evaluation or attestation of Entities (Nodes)
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Node (Vertex): A fundamental point or entity in a graph that represents an object or data point
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Edge (Link/Arc): A connection between two vertices that represents a relationship or path
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Degree: The number of edges connected to a vertex
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In-degree: Number of incoming edges (directed graphs)
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* Out-degree: Number of outgoing edges (directed graphs)
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* Weight: A numerical value assigned to an edge representing cost, distance, or strength
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Path: A sequence of vertices connected by edges
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Tree: A connected, acyclic graph where any two vertices are connected by exactly one path
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Cycle: A path that starts and ends at the same vertex
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Loop (Self-loop): An edge that connects a vertex to itself
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Adjacent Vertices: Two vertices connected by an edge
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Neighbor: A vertex directly connected to another vertex
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Subgraph: A graph formed from a subset of vertices and edges from a larger graph
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Connected Component: A maximal set of vertices where each pair has a connecting path
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Root: The top vertex in a tree structure
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Leaf: A vertex with degree 1 in a tree (no children)
  
 
==References==
 
==References==
  
 
[[Category: Mathematics]]
 
[[Category: Mathematics]]

Latest revision as of 12:32, 25 February 2026

Meme

Graph Theory

Context

Trust Graph

Taxonomy

  1. By Structure:
    1. Undirected Graph: Edges have no direction; connections are bidirectional
    2. Directed Graph (Digraph): Edges have direction; connections flow one way
    3. Weighted Graph: Edges have assigned values or costs
    4. Unweighted Graph: All edges are equal; no values assigned
  2. By Connectivity:
    1. Connected Graph: Path exists between every pair of vertices
    2. Disconnected Graph: Some vertices have no connecting path
    3. Complete Graph: Every vertex connects to every other vertex
    4. Tree: Connected graph with no cycles
  3. By Cycles:
    1. Acyclic Graph: Contains no cycles or loops
    2. Cyclic Graph: Contains at least one cycle
    3. DAG (Directed Acyclic Graph): Directed graph with no cycles
  4. By Representation:
    1. Simple Graph: No self-loops or multiple edges between vertices
    2. Multigraph: Multiple edges allowed between vertices
    3. Pseudograph: Self-loops and multiple edges allowed
  5. By Application:
    1. Social Network Graph: Represents relationships between people
    2. Knowledge Graph: Represents entities and their relationships
    3. Flow Network: Models flow of resources through a network
    4. Dependency Graph: Shows dependencies between elements
    5. Trust Graph: Allows evaluation or attestation of Entities (Nodes)

Node (Vertex): A fundamental point or entity in a graph that represents an object or data point

Edge (Link/Arc): A connection between two vertices that represents a relationship or path

Degree: The number of edges connected to a vertex

In-degree: Number of incoming edges (directed graphs)

  • Out-degree: Number of outgoing edges (directed graphs)
  • Weight: A numerical value assigned to an edge representing cost, distance, or strength

Path: A sequence of vertices connected by edges

Tree: A connected, acyclic graph where any two vertices are connected by exactly one path

Cycle: A path that starts and ends at the same vertex

Loop (Self-loop): An edge that connects a vertex to itself

Adjacent Vertices: Two vertices connected by an edge

Neighbor: A vertex directly connected to another vertex

Subgraph: A graph formed from a subset of vertices and edges from a larger graph

Connected Component: A maximal set of vertices where each pair has a connecting path

Root: The top vertex in a tree structure

Leaf: A vertex with degree 1 in a tree (no children)

References