Computational Network Theory

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Computational Network Theory

Author : Matthias Dehmer
Publisher : John Wiley & Sons
ISBN 13 : 3527337245
Total Pages : 278 pages
Book Rating : 4.5/5 (273 download)

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Book Synopsis Computational Network Theory by : Matthias Dehmer

Download or read book Computational Network Theory written by Matthias Dehmer and published by John Wiley & Sons. This book was released on 2015-11-16 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

Computational Network Theory

Author : Matthias Dehmer
Publisher :
ISBN 13 : 9783527691517
Total Pages : pages
Book Rating : 4.6/5 (915 download)

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Book Synopsis Computational Network Theory by : Matthias Dehmer

Download or read book Computational Network Theory written by Matthias Dehmer and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Network Theory

Author : Matthias Dehmer
Publisher : John Wiley & Sons
ISBN 13 : 3527691545
Total Pages : 280 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Computational Network Theory by : Matthias Dehmer

Download or read book Computational Network Theory written by Matthias Dehmer and published by John Wiley & Sons. This book was released on 2015-05-04 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

An Introduction to Computational Learning Theory

Author : Michael J. Kearns
Publisher : MIT Press
ISBN 13 : 9780262111935
Total Pages : 230 pages
Book Rating : 4.1/5 (119 download)

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Book Synopsis An Introduction to Computational Learning Theory by : Michael J. Kearns

Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.

Computational Graph Theory

Author : Gottfried Tinhofer
Publisher : Springer Science & Business Media
ISBN 13 : 3709190762
Total Pages : 282 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Computational Graph Theory by : Gottfried Tinhofer

Download or read book Computational Graph Theory written by Gottfried Tinhofer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: One ofthe most important aspects in research fields where mathematics is "applied is the construction of a formal model of a real system. As for structural relations, graphs have turned out to provide the most appropriate tool for setting up the mathematical model. This is certainly one of the reasons for the rapid expansion in graph theory during the last decades. Furthermore, in recent years it also became clear that the two disciplines of graph theory and computer science have very much in common, and that each one has been capable of assisting significantly in the development of the other. On one hand, graph theorists have found that many of their problems can be solved by the use of com puting techniques, and on the other hand, computer scientists have realized that many of their concepts, with which they have to deal, may be conveniently expressed in the lan guage of graph theory, and that standard results in graph theory are often very relevant to the solution of problems concerning them. As a consequence, a tremendous number of publications has appeared, dealing with graphtheoretical problems from a computational point of view or treating computational problems using graph theoretical concepts.

Temporal Network Theory

Author : Petter Holme
Publisher : Springer Nature
ISBN 13 : 3031303997
Total Pages : 486 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Temporal Network Theory by : Petter Holme

Download or read book Temporal Network Theory written by Petter Holme and published by Springer Nature. This book was released on 2023-11-20 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena. Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the “big data” sets. This book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade. This second edition of Temporal Network Theory extends the first with three chapters highlighting recent developments in the interface with machine learning.

Temporal Networks

Author : Petter Holme
Publisher : Springer
ISBN 13 : 3642364616
Total Pages : 352 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Temporal Networks by : Petter Holme

Download or read book Temporal Networks written by Petter Holme and published by Springer. This book was released on 2013-05-23 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.

Computational Learning Theory and Natural Learning Systems: Intersections between theory and experiment

Author : Stephen José Hanson
Publisher : Mit Press
ISBN 13 : 9780262581332
Total Pages : 449 pages
Book Rating : 4.5/5 (813 download)

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Book Synopsis Computational Learning Theory and Natural Learning Systems: Intersections between theory and experiment by : Stephen José Hanson

Download or read book Computational Learning Theory and Natural Learning Systems: Intersections between theory and experiment written by Stephen José Hanson and published by Mit Press. This book was released on 1994 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation These original contributions converge on an exciting and fruitful intersection of three historically distinct areas of learning research: computational learning theory, neural networks, and symbolic machine learning. Bridging theory and practice, computer science and psychology, they consider general issues in learning systems that could provide constraints for theory and at the same time interpret theoretical results in the context of experiments with actual learning systems. In all, nineteen chapters address questions such as, What is a natural system? How should learning systems gain from prior knowledge? If prior knowledge is important, how can we quantify how important? What makes a learning problem hard? How are neural networks and symbolic machine learning approaches similar? Is there a fundamental difference in the kind of task a neural network can easily solve as opposed to those a symbolic algorithm can easily solve? Stephen J. Hanson heads the Learning Systems Department at Siemens Corporate Research and is a Visiting Member of the Research Staff and Research Collaborator at the Cognitive Science Laboratory at Princeton University. George A. Drastal is Senior Research Scientist at Siemens Corporate Research. Ronald J. Rivest is Professor of Computer Science and Associate Director of the Laboratory for Computer Science at the Massachusetts Institute of Technology.

Temporal Network Theory

Author : Petter Holme
Publisher : Springer Nature
ISBN 13 : 3030234959
Total Pages : 375 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Temporal Network Theory by : Petter Holme

Download or read book Temporal Network Theory written by Petter Holme and published by Springer Nature. This book was released on 2019-10-29 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the "big data" sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade.

Computational Network Analysis with R

Author : Matthias Dehmer
Publisher : John Wiley & Sons
ISBN 13 : 3527694404
Total Pages : 368 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Computational Network Analysis with R by : Matthias Dehmer

Download or read book Computational Network Analysis with R written by Matthias Dehmer and published by John Wiley & Sons. This book was released on 2016-07-22 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

Computing in Communication Networks

Author : Frank H.P. Fitzek
Publisher : Academic Press
ISBN 13 : 0128209046
Total Pages : 524 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Computing in Communication Networks by : Frank H.P. Fitzek

Download or read book Computing in Communication Networks written by Frank H.P. Fitzek and published by Academic Press. This book was released on 2020-05-20 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing in Communication Networks: From Theory to Practice provides comprehensive details and practical implementation tactics on the novel concepts and enabling technologies at the core of the paradigm shift from store and forward (dumb) to compute and forward (intelligent) in future communication networks and systems. The book explains how to create virtualized large scale testbeds using well-established open source software, such as Mininet and Docker. It shows how and where to place disruptive techniques, such as machine learning, compressed sensing, or network coding in a newly built testbed. In addition, it presents a comprehensive overview of current standardization activities. Specific chapters explore upcoming communication networks that support verticals in transportation, industry, construction, agriculture, health care and energy grids, underlying concepts, such as network slicing and mobile edge cloud, enabling technologies, such as SDN/NFV/ ICN, disruptive innovations, such as network coding, compressed sensing and machine learning, how to build a virtualized network infrastructure testbed on one’s own computer, and more. Provides a uniquely comprehensive overview on the individual building blocks that comprise the concept of computing in future networks Gives practical hands-on activities to bridge theory and implementation Includes software and examples that are not only employed throughout the book, but also hosted on a dedicated website

Network Analysis and Synthesis

Author : Brian D. O. Anderson
Publisher : Courier Corporation
ISBN 13 : 0486152170
Total Pages : 560 pages
Book Rating : 4.4/5 (861 download)

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Book Synopsis Network Analysis and Synthesis by : Brian D. O. Anderson

Download or read book Network Analysis and Synthesis written by Brian D. O. Anderson and published by Courier Corporation. This book was released on 2013-01-30 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive look at linear network analysis and synthesis explores state-space synthesis as well as analysis, employing modern systems theory to unite classical concepts of network theory. 1973 edition.

Network Models for Data Science

Author : Alan Julian Izenman
Publisher : Cambridge University Press
ISBN 13 : 1108889034
Total Pages : 502 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Network Models for Data Science by : Alan Julian Izenman

Download or read book Network Models for Data Science written by Alan Julian Izenman and published by Cambridge University Press. This book was released on 2023-01-05 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.

Theories of Communication Networks

Author : Peter R. Monge
Publisher : Oxford University Press
ISBN 13 : 019803637X
Total Pages : 432 pages
Book Rating : 4.1/5 (98 download)

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Book Synopsis Theories of Communication Networks by : Peter R. Monge

Download or read book Theories of Communication Networks written by Peter R. Monge and published by Oxford University Press. This book was released on 2003-03-27 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.

Complex Systems and Networks

Author : Jinhu Lü
Publisher : Springer
ISBN 13 : 3662478242
Total Pages : 482 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Complex Systems and Networks by : Jinhu Lü

Download or read book Complex Systems and Networks written by Jinhu Lü and published by Springer. This book was released on 2015-08-14 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.

Brain Network Analysis

Author : Moo K. Chung
Publisher : Cambridge University Press
ISBN 13 : 110718486X
Total Pages : 343 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Brain Network Analysis by : Moo K. Chung

Download or read book Brain Network Analysis written by Moo K. Chung and published by Cambridge University Press. This book was released on 2019-06-27 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This coherent mathematical and statistical approach aimed at graduate students incorporates regression and topology as well as graph theory.

Network Science

Author : Ted G. Lewis
Publisher : John Wiley & Sons
ISBN 13 : 1118211014
Total Pages : 440 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Network Science by : Ted G. Lewis

Download or read book Network Science written by Ted G. Lewis and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover: Origins Graphs Regular Networks Random Networks Small-World Networks Scale-Free Networks Emergence Epidemics Synchrony Influence Networks Vulnerability Net Gain Biology This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.