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This repository contains the fifth homework assignment for the Algorithmic Methods of Data Mining and Laboratory (ADM) course, part of the Master’s degree in Data Science at Sapienza University of Rome 22/23.

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ADM-HW5-Group26

Authors

  • Marina, 1809715
  • Aurora, 1852791
  • Elisa, 1859043

Introduction

The repository ADM-HW5-Group26 contains the code from Homework 5 for the course of Algorithmic Methods for Data Mining (Master of Data Science 22/23 University of La Sapienza).

The goal of the homework is to improve the familiarity with the creation, manipulation and visualization of graphs using the NetworkX library of Python.

Files Contained

  • The file main.ipynb contains a Jupyter Notebook with tasks 1-3 and the Algorithmic Question. In particular, here you can find the "controller_system" function where choosing a functionality and some parameters as inputs you can view the results of the functionality on the graphs.
  • The file CommandLine.sh contains the answer to Command Line Question in a .sh bash executable file.
  • The folder img contains the file CommandLineScreenShot.png, an image showing the results of the Command Line Question runned.
  • The file functions.py contains the functions used in functionality1, functionality3 and functionality4.

Additional Link for Visualization

https://nbviewer.org/github/maryyyyna/ADM-HW5-Group26/blob/main/main.ipynb

About

This repository contains the fifth homework assignment for the Algorithmic Methods of Data Mining and Laboratory (ADM) course, part of the Master’s degree in Data Science at Sapienza University of Rome 22/23.

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