Facebook Network Analysis using Python and Networkx

Offered By
Coursera Project Network
In this Guided Project, you will:

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

Clock1 hour
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

graph analysisPython Programmingnetworkxgraph centralityGraph Drawing

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:

  1. Introduction to project and Importing the dataset

  2. Visualizing the graph using Networkx

  3. using Degree and Load Centrality measures to find important nodes in the graph

  4. Proving Facebook network Graph is a Scale-free network

How Guided Projects work

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

Frequently asked questions

Frequently Asked Questions

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