Graph_Visualization_Qt_GUI_Cpp

This program takes density and no of vertices in a graph and then displays the graph.

Introduction: This C++ program is designed as a graph analysis and visualization tool, featuring a graphical user interface (GUI) built using the Qt C++ framework. The tool generates a random graph based on user-defined parameters and provides functionalities for analyzing the graph, including degree calculation, identification of nodes with maximum and minimum degrees, display of the raw adjacency matrix, and finding neighbors of a given node.

Features:

1. Graph Generation:

   • The program generates a random undirected graph based on user-specified parameters: the number of nodes and density.

2. Degree Analysis:

   • Users can inquire about the degree of a specific node, find the node with the maximum degree, and find the node with the minimum degree.

3. Adjacency Matrix Display:

   • The raw adjacency matrix of the generated graph can be displayed, providing a comprehensive view of the graph structure.

4. Neighborhood Identification:

   • Users can find the neighbors of a specified node, gaining insights into the connectivity of the graph.

5. Graphical User Interface (GUI):

   • The program incorporates a user-friendly GUI built with the Qt framework, enhancing the overall user experience.

Usage:

1. Graph Generation:

   • Enter the number of nodes and desired density when prompted.
   • The program will generate a random graph based on the provided parameters.

2. Degree Analysis:

   • Choose from options (a to e) to perform various degree-related analyses:
     • a) Show Degree of a Node
     • b) Find Node with Maximum Degree
     • c) Find Node with Minimum Degree
     • d) Display the Raw Adjacency Matrix
     • e) Find Neighbors of a Given Node

3. Graphical User Interface:

   • The GUI enhances the visual representation and user interaction with the graph analysis tool.

Execution:

1. GUI Mode:

   • Ensure that the Qt framework is properly installed.
   • Compile and run the program to access the GUI.
   • Use the GUI controls to interact with the graph and perform analyses.

2. Console Mode:

   • For console-based interaction, follow the prompts to enter the number of nodes and density.
   • Use the console menu (a to e) for various analyses.

Note:

• This program utilizes the conio.h library for getch() to capture user inputs in the console.

Example:

• An example run of the program is provided to illustrate its functionalities and outputs.

Dependencies:

• Qt framework for GUI (ensure proper installation).