Models Algorithms And Technologies For Network Analysis

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Models, Algorithms, and Technologies for Network Analysis

Author : Boris I. Goldengorin
Publisher : Springer Science & Business Media
ISBN 13 : 1461485886
Total Pages : 217 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Models, Algorithms, and Technologies for Network Analysis by : Boris I. Goldengorin

Download or read book Models, Algorithms, and Technologies for Network Analysis written by Boris I. Goldengorin and published by Springer Science & Business Media. This book was released on 2013-09-21 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics. This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in • vehicle routing • single machine scheduling • modern financial markets • cell formation in group technology • brain activities of left- and right-handers • speeding up algorithms for the maximum clique problem • analysis and applications of different measures in clustering The broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques presented.

Models, Algorithms and Technologies for Network Analysis

Author : Mikhail V. Batsyn
Publisher : Springer
ISBN 13 : 331909758X
Total Pages : 139 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Models, Algorithms and Technologies for Network Analysis by : Mikhail V. Batsyn

Download or read book Models, Algorithms and Technologies for Network Analysis written by Mikhail V. Batsyn and published by Springer. This book was released on 2014-10-30 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems.

Models, Algorithms, and Technologies for Network Analysis

Author : Boris I. Goldengorin
Publisher : Springer Science & Business Media
ISBN 13 : 146145574X
Total Pages : 244 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Models, Algorithms, and Technologies for Network Analysis by : Boris I. Goldengorin

Download or read book Models, Algorithms, and Technologies for Network Analysis written by Boris I. Goldengorin and published by Springer Science & Business Media. This book was released on 2012-12-12 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network Analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network is bringing together researchers, practitioners and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of these proceedings is to overcome this difficulty by collecting the major results found by the participants of the “First International Conference in Network Analysis,” held at The University of Florida, Gainesville, USA, from the 14th to the 16th of December 2011. The contributions of this conference not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology and applications.

Models, Algorithms, and Technologies for Network Analysis

Author : Valery A. Kalyagin
Publisher : Springer
ISBN 13 : 3319568299
Total Pages : 277 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Models, Algorithms, and Technologies for Network Analysis by : Valery A. Kalyagin

Download or read book Models, Algorithms, and Technologies for Network Analysis written by Valery A. Kalyagin and published by Springer. This book was released on 2017-06-23 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented. Chapters in this book cover the following topics: Linear max min fairness Heuristic approaches for high-quality solutions Efficient approaches for complex multi-criteria optimization problems Comparison of heuristic algorithms New heuristic iterative local search Power in network structures Clustering nodes in random graphs Power transmission grid structure Network decomposition problems Homogeneity hypothesis testing Network analysis of international migration Social networks with node attributes Testing hypothesis on degree distribution in the market graphs Machine learning applications to human brain network studies This proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields.

Models, Algorithms and Technologies for Network Analysis

Author : Valery A. Kalyagin
Publisher : Springer
ISBN 13 : 3319296086
Total Pages : 340 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Models, Algorithms and Technologies for Network Analysis by : Valery A. Kalyagin

Download or read book Models, Algorithms and Technologies for Network Analysis written by Valery A. Kalyagin and published by Springer. This book was released on 2016-10-20 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.

Algorithms and Models for Network Data and Link Analysis

Author : François Fouss
Publisher : Cambridge University Press
ISBN 13 : 1316712516
Total Pages : 549 pages
Book Rating : 4.3/5 (167 download)

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Book Synopsis Algorithms and Models for Network Data and Link Analysis by : François Fouss

Download or read book Algorithms and Models for Network Data and Link Analysis written by François Fouss and published by Cambridge University Press. This book was released on 2016-07-12 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be available at: http://www.cambridge.org/9781107125773.

Network Algorithms, Data Mining, and Applications

Author : Ilya Bychkov
Publisher : Springer Nature
ISBN 13 : 3030371573
Total Pages : 251 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Network Algorithms, Data Mining, and Applications by : Ilya Bychkov

Download or read book Network Algorithms, Data Mining, and Applications written by Ilya Bychkov and published by Springer Nature. This book was released on 2020-02-22 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

Computational Aspects and Applications in Large-Scale Networks

Author : Valery A. Kalyagin
Publisher : Springer
ISBN 13 : 3319962477
Total Pages : 354 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Computational Aspects and Applications in Large-Scale Networks by : Valery A. Kalyagin

Download or read book Computational Aspects and Applications in Large-Scale Networks written by Valery A. Kalyagin and published by Springer. This book was released on 2018-08-24 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.

Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights

Author : Ilias S. Kotsireas
Publisher : Springer
ISBN 13 : 3319437097
Total Pages : 369 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights by : Ilias S. Kotsireas

Download or read book Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights written by Ilias S. Kotsireas and published by Springer. This book was released on 2016-11-21 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume results from the “Second International Conference on Dynamics of Disasters” held in Kalamata, Greece, June 29-July 2, 2015. The conference covered particular topics involved in natural and man-made disasters such as war, chemical spills, and wildfires. Papers in this volume examine the finer points of disasters through: Critical infrastructure protection Resiliency Humanitarian logistic Relief supply chains Cooperative game theory Dynamical systems Decision making under risk and uncertainty Spread of diseases Contagion Funding for disaster relief Tools for emergency preparedness Response, and risk mitigation Multi-disciplinary theories, tools, techniques and methodologies are linked with disasters from mitigation and preparedness to response and recovery. The interdisciplinary approach to problems in economics, optimization, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies will engage readers from a wide variety of fields and backgrounds.

Network Models and Optimization

Author : Mitsuo Gen
Publisher : Springer Science & Business Media
ISBN 13 : 1848001819
Total Pages : 692 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Network Models and Optimization by : Mitsuo Gen

Download or read book Network Models and Optimization written by Mitsuo Gen and published by Springer Science & Business Media. This book was released on 2008-07-10 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.

Statistical Analysis of Graph Structures in Random Variable Networks

Author : V. A. Kalyagin
Publisher : Springer Nature
ISBN 13 : 3030602931
Total Pages : 101 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Statistical Analysis of Graph Structures in Random Variable Networks by : V. A. Kalyagin

Download or read book Statistical Analysis of Graph Structures in Random Variable Networks written by V. A. Kalyagin and published by Springer Nature. This book was released on 2020-12-05 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book studies complex systems with elements represented by random variables. Its main goal is to study and compare uncertainty of algorithms of network structure identification with applications to market network analysis. For this, a mathematical model of random variable network is introduced, uncertainty of identification procedure is defined through a risk function, random variables networks with different measures of similarity (dependence) are discussed, and general statistical properties of identification algorithms are studied. The volume also introduces a new class of identification algorithms based on a new measure of similarity and prove its robustness in a large class of distributions, and presents applications to social networks, power transmission grids, telecommunication networks, stock market networks, and brain networks through a theoretical analysis that identifies network structures. Both researchers and graduate students in computer science, mathematics, and optimization will find the applications and techniques presented useful.

Statistical Network Analysis: Models, Issues, and New Directions

Author : Edoardo M. Airoldi
Publisher : Springer
ISBN 13 : 3540731334
Total Pages : 200 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Statistical Network Analysis: Models, Issues, and New Directions by : Edoardo M. Airoldi

Download or read book Statistical Network Analysis: Models, Issues, and New Directions written by Edoardo M. Airoldi and published by Springer. This book was released on 2008-04-12 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Statistical Network Analysis: Models, Issues, and New Directions held in Pittsburgh, PA, USA in June 2006 as associated event of the 23rd International Conference on Machine Learning, ICML 2006. It covers probabilistic methods for network analysis, paying special attention to model design and computational issues of learning and inference.

Network Algorithms, Data Mining, and Applications

Author : Ilya Bychkov
Publisher : Springer
ISBN 13 : 9783030371562
Total Pages : 244 pages
Book Rating : 4.3/5 (715 download)

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Book Synopsis Network Algorithms, Data Mining, and Applications by : Ilya Bychkov

Download or read book Network Algorithms, Data Mining, and Applications written by Ilya Bychkov and published by Springer. This book was released on 2020-02-23 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

Complex Networks and Their Applications VII

Author : Luca Maria Aiello
Publisher : Springer
ISBN 13 : 303005411X
Total Pages : 906 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Complex Networks and Their Applications VII by : Luca Maria Aiello

Download or read book Complex Networks and Their Applications VII written by Luca Maria Aiello and published by Springer. This book was released on 2018-12-01 with total page 906 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, together with a wealth of applications. It presents the peer-reviewed proceedings of the VII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2018), which was held in Cambridge on December 11–13, 2018. 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; and 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.

Selected Papers from the 13th Estuarine and Coastal Modeling Conference

Author : Henry J. Bokuniewicz
Publisher : MDPI
ISBN 13 : 3038420468
Total Pages : 434 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Selected Papers from the 13th Estuarine and Coastal Modeling Conference by : Henry J. Bokuniewicz

Download or read book Selected Papers from the 13th Estuarine and Coastal Modeling Conference written by Henry J. Bokuniewicz and published by MDPI. This book was released on 2018-10-02 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Selected Papers from the 13th Estuarine and Coastal Modeling Conference" that was published in JMSE

Advanced Methods for Complex Network Analysis

Author : Meghanathan, Natarajan
Publisher : IGI Global
ISBN 13 : 1466699655
Total Pages : 461 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Advanced Methods for Complex Network Analysis by : Meghanathan, Natarajan

Download or read book Advanced Methods for Complex Network Analysis written by Meghanathan, Natarajan and published by IGI Global. This book was released on 2016-04-07 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization. Advanced Methods for Complex Network Analysis features the latest research on the algorithms and analysis measures being employed in the field of network science. Highlighting the application of graph models, advanced computation, and analytical procedures, this publication is a pivotal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.

Discrete Optimization and Operations Research

Author : Yury Kochetov
Publisher : Springer
ISBN 13 : 3319449141
Total Pages : 586 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Discrete Optimization and Operations Research by : Yury Kochetov

Download or read book Discrete Optimization and Operations Research written by Yury Kochetov and published by Springer. This book was released on 2016-09-09 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 9th International Conference on Discrete Optimization and Operations Research, DOOR 2016, held in Vladivostok, Russia, in September 2016. The 39 full papers presented in this volume were carefully reviewed and selected from 181 submissions. They were organized in topical sections named: discrete optimization; scheduling problems; facility location; mathematical programming; mathematical economics and games; applications of operational research; and short communications.