Name: 3rd International Winter School and Conference on Network Science: Netsci-X 2017 (en Inglés)
SKU: 58789518
Price: 981.38 MXN
Availability: InStock
Author: Shmueli, Erez ; Barzel, Baruch ; Puzis, Rami
ISBN: 9783319554709

portada 3rd International Winter School and Conference on Network Science: Netsci-X 2017 (en Inglés)

3rd International Winter School and Conference on Network Science: Netsci-X 2017 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Shmueli, Erez ; Barzel, Baruch ; Puzis, Rami

Idioma

Inglés

N° páginas

130

Encuadernación

Tapa Dura

Dimensiones

23.4x15.6x1 cm

Peso

0.37 kg.

ISBN13

9783319554709

Categorías

Cibernética y teoría de sistemas
Sociología
Modelos y simulaciones por ordenador

3rd International Winter School and Conference on Network Science: Netsci-X 2017 (en Inglés)

Shmueli, Erez ; Barzel, Baruch ; Puzis, Rami (Autor) · Springer · Tapa Dura

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Reseña del libro "3rd International Winter School and Conference on Network Science: Netsci-X 2017 (en Inglés)"

This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks.Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field.