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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
Languages
Python
Tools
NetworkX
Concepts
Data Science
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Author (1)
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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Summary

This chapter has shown how networks that exist in time or space can be represented, analyzed, and visualized in NetworkX. Such networks have additional constraints imposed by the physical realities of time and space. Spatial networks can be visualized using the actual locations of nodes. Gravity models can be used to compensate for different lengths when comparing edge properties. Networks that change over time can be analyzed by creating snapshots, and can possibly link those snapshots into a layered network. This chapter gave examples of working with temporal and spatial networks using US air traffic data and historical data on Dutch Wikipedia articles. The next chapter will cover some advanced visualization techniques in NetworkX.

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Network Science with Python and NetworkX Quick Start Guide
Published in: Apr 2019Publisher: PacktISBN-13: 9781789955316
© 2019 Packt Publishing Limited All Rights Reserved

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

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