Graph Visualizer

Adjacency Matrix

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Graph Data Structure Explained

A graph is a non-linear data structure consisting of nodes (vertices) and connections between them (edges). It represents relationships between objects.

Algorithm Characteristics

  • TraversalBFS, DFS
  • RepresentationAdj. Matrix/List
  • Space ComplexityO(V+E)
  • ConnectivityConnected, Disconnected
  • CyclesCyclic, Acyclic

Key Properties

  • Consists of vertices and edges connecting them.

  • Can be directed (edges have direction) or undirected.

  • Useful for modeling relationships between entities.

  • Applications include social networks, routing, and network analysis.

Graphs are versatile data structures for representing complex relationships and networks.