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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
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Edward L. Platt
Edward L. Platt
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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.
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The circular layout

Perhaps the simplest network layout, the circular layout, places the nodes of a network evenly around a circle. The benefits of this layout include the following points:

  • Highlighting local structure
  • Clearly showing each individual edge

Because the circular layout places all nodes around the outside of a circle, it leaves much space unused, and is best-suited for small networks.

Similarly, the center of the circle provides an excellent space to visualize edges, as long as the network is sparse enough to prevent crowding the available space.

NetworkX provides a circular layout through the circular_layout() function. As with all NetworkX layouts, it creates a dictionary that maps node labels to (x, y) tuples, which can then be passed as the pos argument to any of the drawing functions.

Applying the default circular layout to the Zachary karate club network creates...

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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