Facebook Network Analysis using Python and Networkx

提供方
Coursera Project Network
在此指导项目中,您将:

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
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

  • graph analysis
  • Python Programming
  • networkx
  • graph centrality
  • Graph Drawing

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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