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2 - Network Metrics

from Part I - A Brief Guide to Network Science

Published online by Cambridge University Press:  08 November 2024

Thomas T. Hills
Affiliation:
University of Warwick
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Summary

A valuable feature of networks is their ability to quantify structural relationships. Much like a chemist who, having purified their sample, can bring to bear a wide range of tools for understanding their sample by transforming data into a network, a network scientist can leverage a range of tools that provide precise measurements of their data’s structure. This includes node-level measures like degree and centrality, meso-scale measures like community formation, and macro-scale measures like density and modularity. This chapter introduces these measures and gives a brief guide to their use.

Type
Chapter
Information
Behavioral Network Science
Language, Mind, and Society
, pp. 24 - 45
Publisher: Cambridge University Press
Print publication year: 2024

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  • Network Metrics
  • Thomas T. Hills, University of Warwick
  • Book: Behavioral Network Science
  • Online publication: 08 November 2024
  • Chapter DOI: https://doi.org/10.1017/9781108883894.003
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  • Network Metrics
  • Thomas T. Hills, University of Warwick
  • Book: Behavioral Network Science
  • Online publication: 08 November 2024
  • Chapter DOI: https://doi.org/10.1017/9781108883894.003
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.

  • Network Metrics
  • Thomas T. Hills, University of Warwick
  • Book: Behavioral Network Science
  • Online publication: 08 November 2024
  • Chapter DOI: https://doi.org/10.1017/9781108883894.003
Available formats
×