Performance Analysis of Complex Networks and Systems

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Publisher : Cambridge University Press
ISBN 13 : 1139952781
Total Pages : 692 pages
Book Rating : 4.1/5 (399 download)

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Book Synopsis Performance Analysis of Complex Networks and Systems by : Piet Van Mieghem

Download or read book Performance Analysis of Complex Networks and Systems written by Piet Van Mieghem and published by Cambridge University Press. This book was released on 2014-04-24 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: This rigorous, self-contained book describes mathematical and, in particular, stochastic and graph theoretic methods to assess the performance of complex networks and systems. It comprises three parts: the first is a review of probability theory; Part II covers the classical theory of stochastic processes (Poisson, Markov and queueing theory), which are considered to be the basic building blocks for performance evaluation studies; Part III focuses on the rapidly expanding new field of network science. This part deals with the recently obtained insight that many very different large complex networks – such as the Internet, World Wide Web, metabolic and human brain networks, utility infrastructures, social networks – evolve and behave according to general common scaling laws. This understanding is useful when assessing the end-to-end quality of Internet services and when designing robust and secure networks. Containing problems and solved solutions, the book is ideal for graduate students taking courses in performance analysis.

Performance Analysis of Communications Networks and Systems

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Publisher : Cambridge University Press
ISBN 13 : 1139450824
Total Pages : 545 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Performance Analysis of Communications Networks and Systems by : Piet Van Mieghem

Download or read book Performance Analysis of Communications Networks and Systems written by Piet Van Mieghem and published by Cambridge University Press. This book was released on 2009-04-09 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This rigourous and self-contained book describes mathematical and, in particular, stochastic methods to assess the performance of networked systems. It consists of three parts. The first part is a review on probability theory. Part two covers the classical theory of stochastic processes (Poisson, renewal, Markov and queuing theory), which are considered to be the basic building blocks for performance evaluation studies. Part three focuses on the relatively new field of the physics of networks. This part deals with the recently obtained insights that many very different large complex networks - such as the Internet, World Wide Web, proteins, utility infrastructures, social networks - evolve and behave according to more general common scaling laws. This understanding is useful when assessing the end-to-end quality of communications services, for example, in Internet telephony, real-time video and interacting games. Containing problems and solutions, this book is ideal for graduate students taking courses in performance analysis.

Performance Analysis of Complex Networks and Systems

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1107058600
Total Pages : 692 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Performance Analysis of Complex Networks and Systems by : Piet Van Mieghem

Download or read book Performance Analysis of Complex Networks and Systems written by Piet Van Mieghem and published by Cambridge University Press. This book was released on 2014-04-24 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides the mathematical, stochastic and graph theoretic methods to analyse the performance and robustness of complex networks and systems.

Graph Spectra for Complex Networks

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1139492276
Total Pages : 363 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Graph Spectra for Complex Networks by : Piet van Mieghem

Download or read book Graph Spectra for Complex Networks written by Piet van Mieghem and published by Cambridge University Press. This book was released on 2010-12-02 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Performance Modeling and Analysis of Communication Networks

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Publisher : BoD – Books on Demand
ISBN 13 : 3958261523
Total Pages : 370 pages
Book Rating : 4.9/5 (582 download)

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Book Synopsis Performance Modeling and Analysis of Communication Networks by : Phuoc Tran-Gia

Download or read book Performance Modeling and Analysis of Communication Networks written by Phuoc Tran-Gia and published by BoD – Books on Demand. This book was released on 2021-10-12 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction to common methods of performance modeling and analysis of communication systems. These methods form the basis of traffic engineering, teletraffic theory, and analytical system dimensioning. The fundamentals of probability theory, stochastic processes, Markov processes, and embedded Markov chains are presented. Basic queueing models are described with applications in communication networks. Advanced methods are presented that have been frequently used in recent practice, especially discrete-time analysis algorithms, or which go beyond classical performance measures such as Quality of Experience or energy efficiency. Recent examples of modern communication networks include Software Defined Networking and the Internet of Things. Throughout the book, illustrative examples are used to provide practical experience in performance modeling and analysis. Target group: The book is aimed at students and scientists in computer science and technical computer science, operations research, electrical engineering and economics.

Complex Network Analysis in Python

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Publisher : Pragmatic Bookshelf
ISBN 13 : 1680505408
Total Pages : 330 pages
Book Rating : 4.6/5 (85 download)

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Book Synopsis Complex Network Analysis in Python by : Dmitry Zinoviev

Download or read book Complex Network Analysis in Python written by Dmitry Zinoviev and published by Pragmatic Bookshelf. This book was released on 2018-01-19 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems.

Control Techniques for Complex Networks

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Publisher : Cambridge University Press
ISBN 13 : 0521884411
Total Pages : 33 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Control Techniques for Complex Networks by : Sean Meyn

Download or read book Control Techniques for Complex Networks written by Sean Meyn and published by Cambridge University Press. This book was released on 2008 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: From foundations to state-of-the-art; the tools and philosophy you need to build network models.

Complex Networks

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Publisher : Cambridge University Press
ISBN 13 : 1108298680
Total Pages : 585 pages
Book Rating : 4.1/5 (82 download)

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Book Synopsis Complex Networks by : Vito Latora

Download or read book Complex Networks written by Vito Latora and published by Cambridge University Press. This book was released on 2017-09-28 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences.

Fundamentals of Brain Network Analysis

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Publisher : Academic Press
ISBN 13 : 0124081185
Total Pages : 496 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Fundamentals of Brain Network Analysis by : Alex Fornito

Download or read book Fundamentals of Brain Network Analysis written by Alex Fornito and published by Academic Press. This book was released on 2016-03-04 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Mining Complex Networks

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Publisher : CRC Press
ISBN 13 : 1000515907
Total Pages : 228 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Mining Complex Networks by : Bogumil Kaminski

Download or read book Mining Complex Networks written by Bogumil Kaminski and published by CRC Press. This book was released on 2021-12-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable knowledge from large data sets. Once data is processed and cleaned, it is analyzed and presented to support decision-making processes. Data science and machine learning tools have become widely used in companies of all sizes. Networks are often large-scale, decentralized, and evolve dynamically over time. Mining complex networks aim to understand the principles governing the organization and the behavior of such networks is crucial for a broad range of fields of study. Here are a few selected typical applications of mining networks: Community detection (which users on some social media platforms are close friends). Link prediction (who is likely to connect to whom on such platforms). Node attribute prediction (what advertisement should be shown to a given user of a particular platform to match their interests). Influential node detection (which social media users would be the best ambassadors of a specific product). This textbook is suitable for an upper-year undergraduate course or a graduate course in programs such as data science, mathematics, computer science, business, engineering, physics, statistics, and social science. This book can be successfully used by all enthusiasts of data science at various levels of sophistication to expand their knowledge or consider changing their career path. Jupiter notebooks (in Python and Julia) accompany the book and can be accessed on https://www.ryerson.ca/mining-complex-networks/. These not only contain all the experiments presented in the book, but also include additional material. Bogumił Kamiński is the Chairman of the Scientific Council for the Discipline of Economics and Finance at SGH Warsaw School of Economics. He is also an Adjunct Professor at the Data Science Laboratory at Ryerson University. Bogumił is an expert in applications of mathematical modeling to solving complex real-life problems. He is also a substantial open-source contributor to the development of the Julia language and its package ecosystem. Paweł Prałat is a Professor of Mathematics in Ryerson University, whose main research interests are in random graph theory, especially in modeling and mining complex networks. He is the Director of Fields-CQAM Lab on Computational Methods in Industrial Mathematics in The Fields Institute for Research in Mathematical Sciences and has pursued collaborations with various industry partners as well as the Government of Canada. He has written over 170 papers and three books with 130 plus collaborators. François Théberge holds a B.Sc. degree in applied mathematics from the University of Ottawa, a M.Sc. in telecommunications from INRS and a PhD in electrical engineering from McGill University. He has been employed by the Government of Canada since 1996 where he was involved in the creation of the data science team as well as the research group now known as the Tutte Institute for Mathematics and Computing. He also holds an adjunct professorial position in the Department of Mathematics and Statistics at the University of Ottawa. His current interests include relational-data mining and deep learning.

Graph Spectra for Complex Networks

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Publisher : Cambridge University Press
ISBN 13 : 1009366807
Total Pages : 536 pages
Book Rating : 4.0/5 (93 download)

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Book Synopsis Graph Spectra for Complex Networks by : Piet Van Mieghem

Download or read book Graph Spectra for Complex Networks written by Piet Van Mieghem and published by Cambridge University Press. This book was released on 2023-08-31 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise and self-contained introduction builds up the spectral theory of graphs from scratch, with linear algebra and the theory of polynomials developed in the later parts. The book focuses on properties and bounds for the eigenvalues of the adjacency, Laplacian and effective resistance matrices of a graph. The goal of the book is to collect spectral properties that may help to understand the behavior or main characteristics of real-world networks. The chapter on spectra of complex networks illustrates how the theory may be applied to deduce insights into real-world networks. The second edition contains new chapters on topics in linear algebra and on the effective resistance matrix, and treats the pseudoinverse of the Laplacian. The latter two matrices and the Laplacian describe linear processes, such as the flow of current, on a graph. The concepts of spectral sparsification and graph neural networks are included.

Complex Networks and Their Applications XI

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Publisher : Springer Nature
ISBN 13 : 3031211316
Total Pages : 674 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Complex Networks and Their Applications XI by : Hocine Cherifi

Download or read book Complex Networks and Their Applications XI written by Hocine Cherifi and published by Springer Nature. This book was released on 2023-01-25 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, 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.

Modularity and Dynamics on Complex Networks

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Publisher : Cambridge University Press
ISBN 13 : 1108808654
Total Pages : 102 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Modularity and Dynamics on Complex Networks by : Renaud Lambiotte

Download or read book Modularity and Dynamics on Complex Networks written by Renaud Lambiotte and published by Cambridge University Press. This book was released on 2022-02-03 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex networks are typically not homogeneous, as they tend to display an array of structures at different scales. A feature that has attracted a lot of research is their modular organisation, i.e., networks may often be considered as being composed of certain building blocks, or modules. In this Element, the authors discuss a number of ways in which this idea of modularity can be conceptualised, focusing specifically on the interplay between modular network structure and dynamics taking place on a network. They discuss, in particular, how modular structure and symmetries may impact on network dynamics and, vice versa, how observations of such dynamics may be used to infer the modular structure. They also revisit several other notions of modularity that have been proposed for complex networks and show how these can be related to and interpreted from the point of view of dynamical processes on networks.

Complex Networks

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Publisher : Cambridge University Press
ISBN 13 : 1107103185
Total Pages : 585 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Complex Networks by : Vito Latora

Download or read book Complex Networks written by Vito Latora and published by Cambridge University Press. This book was released on 2017-09-28 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.

Air Route Networks Through Complex Networks Theory

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Publisher : Elsevier
ISBN 13 : 0128126663
Total Pages : 254 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Air Route Networks Through Complex Networks Theory by : Jose M. Sallan

Download or read book Air Route Networks Through Complex Networks Theory written by Jose M. Sallan and published by Elsevier. This book was released on 2019-11-06 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air Route Networks through Complex Networks Theory connects theory research with network connectivity analysis, providing practitioners with the tools they need to develop more efficient, resilient and profitable air route networks. The book helps airline route planners and executives create more robust route networks that are less vulnerable to disruptions, such as node isolation. The book further explores errors and attacks in complex networks, strategies for detecting critical nodes and cascading failure models to assess and maximize robustness. The book explains how to measure air route network connectivity with complex network representations. Air transport is among the most dynamic and toughest competition industries in today's global economy. The quality of air route network design is a key strategic factor in an airline's viability. These robust networks provide for more stable and secure carrier operations vs. those based simply on existing supply and demand volumes. Node-specific and network-specific representations are covered, along with in-depth coverage of connectivity in special and temporal networks. These collective tools serve as a guide for practitioners seeking to apply complex network theory to the airline industry. - Presents complex networks theory research results applied to airline transportation networks - Examines airline network robustness in the face of disruptions, providing strategies for detecting critical nodes of air transport networks - Provides historical perspective on the economic, political, technical, and geographical constraints that influence airline route portfolios - Connects data from valuable tools, such as navpoints, area control centers (ACC), and flight information centers, with air network modeling - Studies spreading-related phenomena, such as rumors, and disease contagions, and how these affect the airline industry

Graph Theory and Complex Networks

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Author :
Publisher : Maarten Van Steen
ISBN 13 : 9789081540612
Total Pages : 285 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Graph Theory and Complex Networks by : Maarten van Steen

Download or read book Graph Theory and Complex Networks written by Maarten van Steen and published by Maarten Van Steen. This book was released on 2010 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain the basics of graph theory that are needed at an introductory level for students in computer or information sciences. To motivate students and to show that even these basic notions can be extremely useful, the book also aims to provide an introduction to the modern field of network science. Mathematics is often unnecessarily difficult for students, at times even intimidating. For this reason, explicit attention is paid in the first chapters to mathematical notations and proof techniques, emphasizing that the notations form the biggest obstacle, not the mathematical concepts themselves. This approach allows to gradually prepare students for using tools that are necessary to put graph theory to work: complex networks. In the second part of the book the student learns about random networks, small worlds, the structure of the Internet and the Web, peer-to-peer systems, and social networks. Again, everything is discussed at an elementary level, but such that in the end students indeed have the feeling that they: 1.Have learned how to read and understand the basic mathematics related to graph theory. 2.Understand how basic graph theory can be applied to optimization problems such as routing in communication networks. 3.Know a bit more about this sometimes mystical field of small worlds and random networks. There is an accompanying web site www.distributed-systems.net/gtcn from where supplementary material can be obtained, including exercises, Mathematica notebooks, data for analyzing graphs, and generators for various complex networks.

Cognitive Dynamic Systems

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Publisher : Cambridge University Press
ISBN 13 : 0521114365
Total Pages : 323 pages
Book Rating : 4.5/5 (211 download)

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Book Synopsis Cognitive Dynamic Systems by : Simon Haykin

Download or read book Cognitive Dynamic Systems written by Simon Haykin and published by Cambridge University Press. This book was released on 2012-03-22 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking book from Simon Haykin, setting out the fundamental ideas and highlighting a range of future research directions.