Network Models for Data Science Theory, Algorithms, and Applications
- Textbook
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.…
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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
- DOI https://doi.org/10.1017/9781108886666
- Subjects Applied Probability and Stochastic Networks,Physics and Astronomy,Statistical Physics and Network Science,Statistics and Probability
- Format: Hardback
- Publication date: 02 March 2023
- ISBN: 9781108835763
- Dimensions (mm): 254 x 177 mm
- Weight: 1.14kg
- Page extent: 550 pages
- Availability: In stock
- Format: Digital
- Publication date: 22 March 2023
- ISBN: 9781108886666
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