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Unweighted Graph Data Structure Visualizer

STEM Interactive Visual Learning Program at TEC-Bridge AI

How to Use

  1. Add Node: Enter a label and click "Add Node"
  2. Add Edge: Enter source and destination, click "Add Edge"
  3. Random Unweighted Graph: Click to instantly generate an unweighted graph
  4. Remove Node/Edge: Enter node or edge and click remove
  5. Edge Count: Click to count the number of edges
  6. Reset: Click to clear the graph

Unweighted Graph Concept

Unweighted Graph is a graph where all edges are considered equal; there are no weights or costs associated with the edges.

Key Characteristics:

  • All edges have equal weight (or no weight)
  • Simple structure for many algorithms
  • Common in basic graph theory and real-world networks

Unweighted Graph Setup

Unweighted Graph Operations

Graph Visualization

Operation Steps

Purpose & Applications

  • Social networks
  • Basic graph algorithms
  • Network connectivity
  • Modeling relationships

Time & Space Complexity

Operation Time Complexity Space Complexity
Add Node O(1) O(V+E)
Add Edge O(1) O(1)
Remove Node O(E) O(V+E)
Remove Edge O(E) O(1)
Edge Count O(1) O(1)

Strengths & Limitations

Strengths:

  • Simple to understand and implement
  • Efficient for many algorithms

Limitations:

  • Cannot represent weighted relationships
  • Not suitable for weighted networks

Unweighted Graph Code Implementation

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