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Sparse 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 Sparse Graph: Click to instantly generate a sparse 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

Sparse Graph Concept

Sparse Graph is a graph in which the number of edges is much less than the maximum possible number of edges. Typically, a sparse graph has O(V) or O(V log V) edges, where V is the number of nodes.

Key Characteristics:

  • Few edges relative to the number of nodes
  • Efficient for storage and traversal
  • Common in real-world networks

Sparse Graph Setup

Sparse Graph Operations

Graph Visualization

Operation Steps

Purpose & Applications

  • Social networks
  • Web graphs
  • Communication networks
  • Efficient storage of large graphs

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:

  • Efficient for large graphs
  • Low memory usage

Limitations:

  • Not suitable for dense graphs
  • May require special algorithms

Sparse Graph Code Implementation

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