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Chapter 12 - Understanding network structure and organization

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

In this chapter, we focus on statistics and measures that quantify a networks structure and characterize how it is organized. These measures have been central to much of network science, and a vast array of material is available to us, spanning across all scales of the network. The measures we discuss include general-purpose measures and those specialized to particular circumstances, which allow us to better get a handle on the network data. Network science has generated a dizzying array of valuable measures over the years. For example, we can measure local structures, motifs, patterns of correlations within the network, clusters and communities, hierarchy, and more. These measures are used for exploratory and confirmatory analyses, which we discussed in the previous chapter. With the measures of this chapter, we can understand the patterns in our networks, and using statistical models, we can put those patterns on a firm foundation.

Type
Chapter
Information
Working with Network Data
A Data Science Perspective
, pp. 165 - 202
Publisher: Cambridge University Press
Print publication year: 2024

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