Visualizing static networks with R

Visualizing static networks with R

Visualizing static networks with R Taught in English Instructor: You (Lilian) Cheng Included with • Learn more Guided Project Learn, practice, and apply job-ready skills with expert guidance Intermediate level Recommended experience Close Recommended experience Intermediate level Familiarity with some R data-wrangling packages such as tidyverse and knowing how to write R functions will be

Description

Visualizing static networks with R

Visualizing networks is an essential aspect of network analysis⁤ as ‌it helps⁤ in ⁤understanding and ‍interpreting the complex relationships and structures within a network. In recent years, R has emerged as a popular tool⁣ for visualizing static networks due to‍ its flexibility and wide range of‌ visualization packages. In this article,‌ we will ​explore ​how R ‍can ⁢be used to visualize static networks​ effectively.

R provides a number of ​packages that are specifically ⁤designed for visualizing networks, such as igraph, networkD3, and visNetwork. These packages offer a⁢ variety of functionalities that allow users to create customized and visually appealing network visualizations.

One of the most commonly used packages for network visualization​ in ⁢R is igraph. This package provides a ‍comprehensive set ‍of tools for ⁣creating, manipulating, and visualizing ​networks. With

Visualizing static networks with R

Taught in English

You (Lilian) Cheng

Instructor: You (Lilian) Cheng

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you’ll learn

  • Learn to preprocess raw data to create nodes and edges

  • Learn to create network data using the igraph package

  • Learn to visualize static networks with base R functions

Details to know

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