Difference between revisions of "Graph Theory"

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

Revision as of 12:21, 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

References