Facebook Network Analysis using Python and Networkx

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

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
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

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

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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