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List Representations Data Structure Visualizer

STEM Interactive Visual Learning Program at TEC-Bridge AI

List Representation Setup

List Representation Operations

Graph Visualization

Operation Steps

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 List Graph: Click to instantly generate a random graph
  4. Remove Node/Edge: Enter node or edge and click remove
  5. Show Adjacency List: Click to display the adjacency list representation
  6. Reset: Click to clear the graph

List Representation Concept

List Representation of a graph uses lists (arrays, linked lists, etc.) to store the neighbors of each node.

Key Characteristics:

  • Efficient for sparse graphs
  • Space usage proportional to number of edges
  • Easy to traverse neighbors

Purpose & Applications

  • Efficient graph algorithms
  • Network analysis
  • Social networks
  • Web crawlers

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(1) O(1)
Show Adjacency List O(V+E) O(V+E)

Strengths & Limitations

Strengths:

  • Efficient for sparse graphs
  • Easy to traverse neighbors

Limitations:

  • Not as efficient for dense graphs
  • Random access to edges is slower

List Representation Code Implementation

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