Learn to work with graph datasets and visualizing it using Networkx module in Python
Learn about different centrality measures and how to calculate them
Learn about scale-free networks and associated properties
By the end of this project, you will learn how to Analyze a real network graph using python. you will learn how to use Networkx module to Visualize a graph and to calculate some important measures which can describe characteristics of our graph. you will also learn About Centrality measures to find Important nodes in a graph. In the final task of the project we are going talk about Scale-free networks and we are going to prove that Facebook Network graph has familiarities with Scale-free networks.
graph analysis
Python Programming
networkx
graph centrality
Graph Drawing
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to project and Importing the dataset
Visualizing the graph using Networkx
using Degree and Load Centrality measures to find important nodes in the graph
Proving Facebook network Graph is a Scale-free network
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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