Multilayer Network Science
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Multilayer Network Science
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Author : Oriol Artime
language : en
Publisher: Cambridge University Press
Release Date : 2022-09-15
Multilayer Network Science written by Oriol Artime and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Science categories.
Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the last decade, multilayer network science – the branch of the field dealing with units interacting in multiple distinct ways, simultaneously – was demonstrated to be an effective modeling and analytical framework for a wide spectrum of empirical systems, from biopolymers networks (such as interactome and metabolomes) to neuronal networks (such as connectomes), from social networks to urban and transportation networks. In this Element, a decade after one of the most seminal papers on this topic, the authors review the most salient features of multilayer network science, covering both theoretical aspects and direct applications to real-world coupled/interdependent systems, from the point of view of multilayer structure, dynamics and function. The authors discuss potential frontiers for this topic and the corresponding challenges in the field for the next future.
Multilayer Networks
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Author : Ginestra Bianconi
language : en
Publisher: Oxford University Press
Release Date : 2018
Multilayer Networks written by Ginestra Bianconi and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Business & Economics categories.
Multilayer networks has become a central topic in Network Science. The book presents a comprehensive account of this emerging field. Multilayer networks are formed by several networks and include social networks, financial markets, multi-modal transportation systems, infrastructures, molecular networks, and the brain.
Visual Analysis Of Multilayer Networks
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Author : Fintan McGee
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Visual Analysis Of Multilayer Networks written by Fintan McGee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Mathematics categories.
The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization. In this Synthesis Lecture, we provide an overview and structured analysis of contemporary multilayer network visualization. This is not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those solving problems within application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer network visualization, as well as tools, tasks, and analytic techniques from within application domains. We also identify the research opportunities and examine outstanding challenges for multilayer network visualization along with potential solutions and future research directions for addressing them.
Artificial Neural Networks For Speech And Vision
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Author : Richard J. Mammone
language : en
Publisher: Kluwer Academic Publishers
Release Date : 1994
Artificial Neural Networks For Speech And Vision written by Richard J. Mammone and has been published by Kluwer Academic Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Presents some of the most promising current research in the design and training of artificial neural networks (ANNs) with applications in speech and vision, as reported by the investigators themselves. The volume is divided into three sections. The first gives an overview of the general field of ANN.
Low Cost Automation 1995 Lca 95
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Author : Jonas Paiuk
language : en
Publisher: Pergamon
Release Date : 1996
Low Cost Automation 1995 Lca 95 written by Jonas Paiuk and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
Paperback. These proceedings contain the papers presented at the 4th IFAC Symposium on Low Cost Automation (LCA '95) held in Buenos Aires, Argentina on 13-15 September 1995. The objective of the Symposium was to bring together end-users and control systems specialists in order to evaluate the possibilities of techniques, design procedures, components, instruments, sensors and networked systems for Low Cost Automation projects with various fields of manufacturing. The Symposium focused on achieving improvements in productivity, reliability, quality and ease of application. Special interest was given to applications in small and medium sized enterprises.
Spreading Processes Over Multilayer And Interconnected Networks
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Author : Faryad Darabi Sahneh
language : en
Publisher:
Release Date : 2014
Spreading Processes Over Multilayer And Interconnected Networks written by Faryad Darabi Sahneh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Society increasingly depends on networks for almost every aspect of daily life. Over the past decade, network science has flourished tremendously in understanding, designing, and utilizing networks. Particularly, network science has shed light on the role of the underlying network topology on the dynamic behavior of complex systems, including cascading failure in power-grids, financial contagions in trade market, synchronization, spread of social opinion and trends, product adoption and market penetration, infectious disease pandemics, outbreaks of computer worms, and gene mutations in biological networks. In the last decade, most studies on complex networks have been confined to a single, often homogeneous network. An extremely challenging aspect of studying these complex systems is that the underlying networks are often heterogeneous, composite, and interdependent with other networks. This challenging aspect has very recently introduced a new class of networks in network science, which we refer to as multilayer and interconnected networks. Multilayer networks are an abstract representation of interconnection among nodes representing individuals or agents, where the interconnection has a multiple nature. For example, while a disease can propagate among individuals through a physical contact network, information can propagate among the same individuals through an online information-dissemination network. Another example is viral information dissemination among users of online social networks; one might disseminate information received from a Facebook contact to his or her followers on Twitter. Interconnected networks are abstract representations where two or more simple networks, possibly with different dynamics over them, are interconnected to each other. For example, in zoonotic diseases, a virus can move from the network of animals, with some transmission dynamics, to a human network, with possibly very different dynamics. As communication systems are evolving more and more toward integration with computing, sensing, and control systems, the theory of multilayer and interconnected networks seems to be crucial to successful communication systems development in cyber-physical infrastructures. Among the most relevant dynamics over networks is epidemic spreading. Epidemic spreading dynamics over simple networks exhibit a clear example where interaction between non-complex dynamics at node level and the topology leads to a complex emergent behavior. A substantial line of research during the past decade has been devoted to capturing the role of the network on spreading dynamics, and mathematical tools such as spectral graph theory have been greatly useful for this goal. For example, when the network is a simple graph, the dominant eigenvalue and eigenvector of the adjacency matrix have been proven to be key elements determining spreading dynamics features, including epidemic threshold, centrality of nodes, localization of spreading sites, and behavior of the epidemic model close to the threshold. More generally, for many other dynamics over a single network, dependency of dynamics on spectral properties of the adjacency matrix, Laplacian matrix, or some other graph-related matrix, is well-studied and rigorously established, and practical applications have been successfully derived. In contrast, limited established results exist for dynamics on multilayer and interconnected networks. Yet, an understanding of spreading processes over these networks is very important to several realistic phenomena in modern integrated and composite systems, including cascading failure in power grids, financial contagions in trade market, synchronization, spread of social opinion and trends, product adoption and market penetration, infectious disease pandemics, and outbreak in computer worms. This dissertation focuses on spreading processes on multilayer and interconnected networks, organized in three parts. The first part develops a general framework for modeling epidemic spreading in interconnected and multilayer networks. The second part solves two fundamental problems: introducing the concept of an epidemic threshold curve in interconnected networks, and coexistence phenomena in competitive spreading over multilayer networks. The third part of this dissertation develops an epidemic model incorporating human behavior, where multi-layer network formulation enables modeling and analysis of important features of human social networks, such as an information-dissemination network, as well as contact adaptation. Finally, I conclude with some open research directions in the topic of spreading processes over multilayer and interconnected networks, based on the resulting developments of this dissertation.
Neural Computation
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Author :
language : en
Publisher:
Release Date : 2002
Neural Computation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Electronic journals categories.
Integrated Spatial Databases
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Author :
language : en
Publisher:
Release Date : 1999
Integrated Spatial Databases written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Database Management categories.
Parallel Computing
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Author : Paul C. Messina
language : en
Publisher: North Holland
Release Date : 1992
Parallel Computing written by Paul C. Messina and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
This book covers the key topic areas of parallel computer architectures; operating systems and software environments; algorithms and their implementations; mathematical software and large-scale scientific applications. Contained are the papers from contributed talks and poster sessions presented at the conference, held in Capri, Italy, in June 1990. The goals of the conference reflected in this proceedings were to assess the progress made in the 1980's in parallel computation for scientific applications and to examine trends in large-scale computation as we enter the 1990's.
A Connectionist Model Of Category Learning
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Author : John Kendall Kruschke
language : en
Publisher:
Release Date : 1990
A Connectionist Model Of Category Learning written by John Kendall Kruschke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Categorization (Psychology) categories.