Reader small image

You're reading from  Network Science with Python and NetworkX Quick Start Guide

Product typeBook
Published inApr 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789955316
Edition1st Edition
Languages
Concepts
Right arrow
Author (1)
Edward L. Platt
Edward L. Platt
author image
Edward L. Platt

Edward L. Platt creates technology for communities and communities for technology. He is currently a researcher at the University of Michigan School of Information and the Center for the Study of Complex Systems. He has published research on large-scale collective action, social networks, and online communities. He was formerly a staff researcher at the MIT Center for Civic Media. He contributes to many free/open source software projects, including tools for media analysis, network science, and cooperative organizations. He has also done research on quantum computing and fault tolerance. He has an M.Math in Applied Mathematics from the University of Waterloo, as well as B.S degrees in both Computer Science and Physics from MIT.
Read more about Edward L. Platt

Right arrow

The force-directed layout

The force-directed layout is a great visualization for many networks, and is a good go-to for your first visualization of a network. It works by repeatedly pushing all nodes apart and then pulling connected nodes back toward each other. It is benefits include the following:

  • Accommodates large networks
  • Clearly conveys community structure

However, the force-directed layout is also one of the most hairball-prone methods, particularly if there is one large community pulling all nodes together. It works best in sparser networks with multiple communities.

In Chapter 3, From Data to Networks, we saw that a default force-directed layout of the Frankenstein word co-occurrence network wasn't particularly informative. Now, we'll return to that example to demonstrate ways to focus on different aspects of a network and reduce clutter. The code to load...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Network Science with Python and NetworkX Quick Start Guide
Published in: Apr 2019Publisher: PacktISBN-13: 9781789955316

Author (1)

author image
Edward L. Platt

Edward L. Platt creates technology for communities and communities for technology. He is currently a researcher at the University of Michigan School of Information and the Center for the Study of Complex Systems. He has published research on large-scale collective action, social networks, and online communities. He was formerly a staff researcher at the MIT Center for Civic Media. He contributes to many free/open source software projects, including tools for media analysis, network science, and cooperative organizations. He has also done research on quantum computing and fault tolerance. He has an M.Math in Applied Mathematics from the University of Waterloo, as well as B.S degrees in both Computer Science and Physics from MIT.
Read more about Edward L. Platt