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Author: Ernesto Estrada
Publisher: Oxford University Press
Published: 2012
Total Pages: 478
ISBN-13: 019959175X
DOWNLOAD EBOOKThe book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined, quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks.
Author: Ginestra Bianconi
Publisher: Cambridge University Press
Published: 2021-12-23
Total Pages: 149
ISBN-13: 1108726739
DOWNLOAD EBOOKThis Element presents one of the most recent developments in network science in a highly accessible style. This Element will be of interest to interdisciplinary scientists working in network science, in addition to mathematicians working in discrete topology and geometry and physicists working in quantum gravity.
Author: Alessandro Vespignani
Publisher: World Scientific
Published: 2007-06-28
Total Pages: 264
ISBN-13: 9814475416
DOWNLOAD EBOOKThis book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.
Author: Matthias Dehmer
Publisher: Springer Science & Business Media
Published: 2010-10-14
Total Pages: 493
ISBN-13: 0817647899
DOWNLOAD EBOOKFilling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow for a structural exploration of complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Applications to biology, chemistry, linguistics, and data analysis are emphasized. The book is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. It may also be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods.
Author: Reuven Cohen
Publisher: Cambridge University Press
Published: 2010-07-08
Total Pages: 248
ISBN-13: 9780521841566
DOWNLOAD EBOOKExamining important results and analytical techniques, this graduate-level textbook is a step-by-step presentation of the structure and function of complex networks. Using a range of examples, from the stability of the internet to efficient methods of immunizing populations, and from epidemic spreading to how one might efficiently search for individuals, this textbook explains the theoretical methods that can be used, and the experimental and analytical results obtained in the study and research of complex networks. Giving detailed derivations of many results in complex networks theory, this is an ideal text to be used by graduate students entering the field. End-of-chapter review questions help students monitor their own understanding of the materials presented.
Author: Vito Latora
Publisher: Cambridge University Press
Published: 2017-09-28
Total Pages: 585
ISBN-13: 1107103185
DOWNLOAD EBOOKA comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.
Author: Romualdo Pastor-Satorras
Publisher: Springer Science & Business Media
Published: 2003-08-08
Total Pages: 232
ISBN-13: 9783540403722
DOWNLOAD EBOOKNetworks 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: Jinhu Lü
Publisher: Springer
Published: 2015-08-14
Total Pages: 483
ISBN-13: 3662478242
DOWNLOAD EBOOKThis elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.
Author: Alain Barrat
Publisher: Cambridge University Press
Published: 2012-10-11
Total Pages: 361
ISBN-13: 9781107626256
DOWNLOAD EBOOKThe 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: Sean Meyn
Publisher: Cambridge University Press
Published: 2008
Total Pages: 33
ISBN-13: 0521884411
DOWNLOAD EBOOKFrom foundations to state-of-the-art; the tools and philosophy you need to build network models.
