Author : Vito Latora
Publisher : Cambridge University Press
Page : 585 pages
File Size : 21,76 MB
Release : 2017-09-28
Category : Computers
ISBN : 1107103185
A comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.
Author : Alain Barrat
Publisher : Cambridge University Press
Page : 361 pages
File Size : 46,92 MB
Release : 2012-10-11
Category : Science
ISBN : 9781107626256
The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks which have lead to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. For example, a vast number of everyday systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This new and recent account presents a comprehensive explanation of these effects.
Author : Albert-László Barabási
Publisher : Cambridge University Press
Page : 477 pages
File Size : 15,92 MB
Release : 2016-07-21
Category : Computers
ISBN : 1107076269
Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.
Author : Sean Meyn
Publisher : Cambridge University Press
Page : 33 pages
File Size : 13,79 MB
Release : 2008
Category : Mathematics
ISBN : 0521884411
From foundations to state-of-the-art; the tools and philosophy you need to build network models.
Author : Remco van der Hofstad
Publisher : Cambridge University Press
Page : 341 pages
File Size : 28,88 MB
Release : 2017
Category : Computers
ISBN : 110717287X
This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
Author : Piet van Mieghem
Publisher : Cambridge University Press
Page : 363 pages
File Size : 17,46 MB
Release : 2010-12-02
Category : Technology & Engineering
ISBN : 1139492276
Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph theory has become a powerful tool in the investigation of network performance. This self-contained 2010 book provides a concise introduction to the theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to the analysis of complex systems, this guide provides the mathematical foundation needed to understand and apply spectral insight to real-world systems. In particular, the general properties of both the adjacency and Laplacian spectrum of graphs are derived and applied to complex networks. An ideal resource for researchers and students in communications networking as well as in physics and mathematics.
Author : Chai Wah Wu
Publisher : World Scientific
Page : 168 pages
File Size : 42,36 MB
Release : 2007
Category : Mathematics
ISBN : 9812709746
This book brings together two emerging research areas: synchronization in coupled nonlinear systems and complex networks, and study conditions under which a complex network of dynamical systems synchronizes. While there are many texts that study synchronization in chaotic systems or properties of complex networks, there are few texts that consider the intersection of these two very active and interdisciplinary research areas. The main theme of this book is that synchronization conditions can be related to graph theoretical properties of the underlying coupling topology. The book introduces ideas from systems theory, linear algebra and graph theory and the synergy between them that are necessary to derive synchronization conditions. Many of the results, which have been obtained fairly recently and have until now not appeared in textbook form, are presented with complete proofs. This text is suitable for graduate-level study or for researchers who would like to be better acquainted with the latest research in this area. Sample Chapter(s). Chapter 1: Introduction (76 KB). Contents: Graphs, Networks, Laplacian Matrices and Algebraic Connectivity; Graph Models; Synchronization in Networks of Nonlinear Continuous-Time Dynamical Systems; Synchronization in Networks of Coupled Discrete-Time Systems; Synchronization in Network of Systems with Linear Dynamics; Agreement and Consensus Problems in Groups of Interacting Agents. Readership: Graduate students and researchers in physics, applied mathematics and engineering.
Author : Fernando Vega-Redondo
Publisher : Cambridge University Press
Page : 316 pages
File Size : 28,70 MB
Release : 2007-01-08
Category : Business & Economics
ISBN : 9780521674096
Publisher description
Author : Romualdo Pastor-Satorras
Publisher : Springer Science & Business Media
Page : 232 pages
File Size : 44,56 MB
Release : 2003-08-08
Category : Science
ISBN : 9783540403722
Networks can provide a useful model and graphic image useful for the description of a wide variety of web-like structures in the physical and man-made realms, e.g. protein networks, food webs and the Internet. The contributions gathered in the present volume provide both an introduction to, and an overview of, the multifaceted phenomenology of complex networks. Statistical Mechanics of Complex Networks also provides a state-of-the-art picture of current theoretical methods and approaches.
Author : Hocine Cherifi
Publisher : Springer Nature
Page : 1047 pages
File Size : 37,19 MB
Release : 2019-11-26
Category : Technology & Engineering
ISBN : 3030366839
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.
