[Data Structure and Algorithm] Graph Visualization - Draw, Remove, Save, Open, Export,...

Graph Visualization Tool: A Comprehensive Description

Our Graph Visualization Tool is designed to empower users to create, manipulate, and analyze graphs with ease. It provides a user-friendly interface for drawing, editing, and exploring complex network structures. Here's a detailed description of its features and capabilities:

Core Functionalities:

• Interactive Graph Drawing:
  • Intuitive drag-and-drop interface for creating nodes and edges.
  • Customizable node shapes, sizes, colors, and labels.  
  • Adjustable edge styles, weights, colors, and labels.  
  • Support for directed and undirected graphs.
  • Easy creation of self-loops and parallel edges.
• Graph Editing:
  • Node and Edge Manipulation:
    • Select, move, and resize nodes.
    • Delete nodes and edges individually or in groups.
    • Modify node and edge properties (e.g., labels, colors, weights).  
  • Graph Modification:
    • Add and remove nodes and edges.  
    • Change edge directions.
    • Implement graph algorithms, and show the result.
• Graph Layout Algorithms:
  • Automatic layout algorithms (e.g., force-directed, hierarchical, circular) for clear and visually appealing graph representations.
  • Manual layout adjustments for fine-grained control.
• Data Import and Export:
  • Save and Open:
    • Save graphs in common file formats (e.g., JSON, GraphML, CSV).
    • Open existing graph files for further editing or analysis.
  • Export:
    • Export graphs as images (e.g., PNG, JPEG, SVG) for presentations and reports.
    • Export graph data in various formats for use in other applications.  
• Graph Analysis (Potential future features):
  • Calculate graph metrics (e.g., degree distribution, centrality measures, shortest paths).
  • Highlight specific nodes or edges based on their properties or relationships.
  • Graph traversals(DFS, BFS) with visual representation of the steps.
  • Pathfinding algorithms.
  • Connectivity analysis.
• User Interface:
  • Clean and intuitive interface for easy navigation and use.  
  • Customizable appearance (e.g., themes, color palettes).
  • Zoom and pan functionality for exploring large graphs.
  • Context menus for quick access to common actions.  
• Additional Features:
  • Undo and redo functionality.  
  • Search and filter nodes and edges.
  • Ability to add annotations and comments to the graph.
  • Ability to group nodes.

Target Audience:

• Students and educators learning about graph theory and data structures.
• Researchers and analysts working with network data.
• Software developers designing and visualizing complex systems.
• Data scientists exploring relationships in datasets.
• Network administrators visualizing network topology.  

Key Advantages:

• Ease of Use: User-friendly interface for creating and manipulating graphs.
• Versatility: Supports a wide range of graph types and applications.
• Flexibility: Customizable appearance and functionality.
• Interoperability: Import and export data in common file formats.
• Visual Clarity: Advanced layout algorithms for clear graph representations.