Graph Analysis From Scratch

Related tags

Deep LearningGraph-Analysis-From-Scratch
Overview

Graph Analysis From Scratch

Made withJupyter Python

Goal

In this notebook we wanted to implement some functionalities to analyze a weighted graph only by using algorithms implemented from scratch. In the functionalities are also embedded plots to visualize the results.

Overwiev

  1. Building the graphs
  2. Overall informations of a graph
  3. Centrality measures (Beetweenness, Degree Centrality, Closeness, Page Rank)
  4. Shortest paths (Djikstra)
  5. Cutting a graph (BFS, DFS, Ford-Fulkersson)

Content

  • graphAnalysis.ipynb is the main notebook
  • functions.py contains all the functions to analyze the graph and plot the results

Resources

All the necessary data can be found at the following link:

Owner
Arturo Ghinassi
I know more Computer Science than a Statistician and more Statistics than a Computer Scientist
Arturo Ghinassi
GitHub Repository
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