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.
Facebook Network Analysis using Python and Networkx
Taught in English
Instructor: Ahmad Varasteh
Included with
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Recommended experience
What you'll learn
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
Skills you'll practice
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About this Guided Project
Learn step-by-step
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
Recommended experience
The prerequisites of this course is to be familiar with python programming language and having some knowledge about scale-free network definition.
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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