Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.
Home
> Subjects
> Network Models for Data Science

Network Models for Data Science Theory, Algorithms, and Applications

Authors

Alan Julian Izenman
, Temple University, Philadelphia
Published 2023

Description

This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data.…

  • Get access
  • Add bookmark
  • Cite
  • Share

Key features

  • Presents both theory and applications of network models and addresses computational issues
  • Describes a wide range of modern methods for analysing complex networks, including measures for comparing huge networks and methods for analysing social and biological networks that change over time
  • Real-world applications from technological networks, information networks, financial networks, and social networks show the concepts and methods in action

About the book

Access options

Review the options below to login to check your access.

Purchase options

There are no purchase options available for this title.

Have an access code?

To redeem an access code, please log in with your personal login.

Log in

If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.

Also available to purchase from these educational ebook suppliers

Curated content

Related content

AI generated results by Discovery for publishers [opens in a new window]