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Chapter 16 - Machine learning

from Part II - Applications, tools, and tasks

Published online by Cambridge University Press:  06 June 2024

James Bagrow
Affiliation:
University of Vermont
Yong‐Yeol Ahn
Affiliation:
Indiana University, Bloomington
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Summary

Machine learning has revolutionized many fields, including science, healthcare, and business. It is also widely used in network data analysis. This chapter provides an overview of machine learning methods and how they can be applied to network data. Machine learning can be used to clean, process, and analyze network data, as well as make predictions about networks and network attributes. Methods that transform networks into meaningful representations are especially useful for specific network prediction tasks, such as classifying nodes and predicting links. The challenges of using machine learning with network data include recognizing data leakage and detecting dataset shift. As with all machine learning, effective use of machine learning on networks depends on practicing good data hygiene when evaluating a predictive model’s performance.

Type
Chapter
Information
Working with Network Data
A Data Science Perspective
, pp. 251 - 278
Publisher: Cambridge University Press
Print publication year: 2024

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  • Machine learning
  • James Bagrow, University of Vermont, Yong‐Yeol Ahn, Indiana University, Bloomington
  • Book: Working with Network Data
  • Online publication: 06 June 2024
  • Chapter DOI: https://doi.org/10.1017/9781009212601.019
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  • Machine learning
  • James Bagrow, University of Vermont, Yong‐Yeol Ahn, Indiana University, Bloomington
  • Book: Working with Network Data
  • Online publication: 06 June 2024
  • Chapter DOI: https://doi.org/10.1017/9781009212601.019
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Machine learning
  • James Bagrow, University of Vermont, Yong‐Yeol Ahn, Indiana University, Bloomington
  • Book: Working with Network Data
  • Online publication: 06 June 2024
  • Chapter DOI: https://doi.org/10.1017/9781009212601.019
Available formats
×