Networks

Clicks: 67
ID: 291116
2018
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Abstract
The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in recent years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyse network data on an unprecendented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social science. This book brings together the most important breakthroughts in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analysing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms, including spectral algorithms and community detection; mathematical models of networks such as random graph models and generative models; and models of processes taking place on networks.
Reference Key
openalex_W4235019172 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors M. E. J. Newman
Journal Oxford University Press eBooks
Year 2018
DOI
10.1093/oso/9780198805090.001.0001
URL
https://doi.org/10.1093/oso/9780198805090.001.0001
Keywords Keywords not found

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