Descargar AudioLibro Networks: An Introduction de Mark Newman

Descargar AudioLibro Networks: An Introduction de Mark Newman año 2010

Ficha completa del audiolibro

 

  • Nombre del audiolibro: Networks: An Introduction
  • Autor del audiolibroMark Newman
  • Fecha de publicación: 4/3/2010
  • EditorialOXFORD UNIVERSITY PRESS
  • IdiomaInglés
  • Género o ColecciónCiencias
  • ISBN: 9780199206650
  • Valoración del audiolibro: 9.19 de un máximo de 10
  • Votos: 624
  • Autor(a) de la reseña: Jabiera Cusihuiyo
  • Reseña valorada con una puntuación de 7.34 de un máximo de 10
  • Fecha reseña: 12/8/2018
  • Duración: 1 hora con 27 minutos (56.5 MB)
  • Fecha creación del audiolibro: 12/07/2018
  • Puedes escuchar el audiolibro en estos formatos: Vorbis - MPEG4 - MP3 - FLAC - WAV - WMA - OGG (compresión RAR - EML - ZIP - TZO)
  • Incluye un resumen PDF de 13 páginas
  • Duración del resumen (audio): 9 minutos (6.5 MB)
  • Servidores habilitados: LimeTorrents - BitShare - 4Shared - Hotfile - Microsoft OneDrive
  • Encuadernación del libro físico: Tapa Dura
  • Descripción o resumen: The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.

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