Models Algorithms And Technologies For Network Analysis


Models Algorithms And Technologies For Network Analysis
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Models Algorithms And Technologies For Network Analysis


Models Algorithms And Technologies For Network Analysis
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Author : Boris I. Goldengorin
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-21

Models Algorithms And Technologies For Network Analysis written by Boris I. Goldengorin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-21 with Mathematics categories.


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


Models Algorithms And Technologies For Network Analysis
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Author : Mikhail V. Batsyn
language : en
Publisher: Springer
Release Date : 2014-10-30

Models Algorithms And Technologies For Network Analysis written by Mikhail V. Batsyn and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-30 with Mathematics categories.


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


Models Algorithms And Technologies For Network Analysis
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Author : Boris I. Goldengorin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-12

Models Algorithms And Technologies For Network Analysis written by Boris I. Goldengorin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-12 with Mathematics categories.


​​ ​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


Models Algorithms And Technologies For Network Analysis
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Author : Valery A. Kalyagin
language : en
Publisher: Springer
Release Date : 2017-06-23

Models Algorithms And Technologies For Network Analysis written by Valery A. Kalyagin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-23 with Computers categories.


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


Models Algorithms And Technologies For Network Analysis
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Author : Valery A. Kalyagin
language : en
Publisher: Springer
Release Date : 2016-10-20

Models Algorithms And Technologies For Network Analysis written by Valery A. Kalyagin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-20 with Computers categories.


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.



Advanced Methods For Complex Network Analysis


Advanced Methods For Complex Network Analysis
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Author : Meghanathan, Natarajan
language : en
Publisher: IGI Global
Release Date : 2016-04-07

Advanced Methods For Complex Network Analysis written by Meghanathan, Natarajan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-07 with Computers categories.


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.



Algorithms And Models For Network Data And Link Analysis


Algorithms And Models For Network Data And Link Analysis
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Author : François Fouss
language : en
Publisher: Cambridge University Press
Release Date : 2016-07-12

Algorithms And Models For Network Data And Link Analysis written by François Fouss 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 2016-07-12 with Computers categories.


A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.



Network Algorithms Data Mining And Applications


Network Algorithms Data Mining And Applications
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Author : Ilya Bychkov
language : en
Publisher: Springer Nature
Release Date : 2020-02-22

Network Algorithms Data Mining And Applications written by Ilya Bychkov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-22 with Mathematics categories.


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.



Statistical Network Analysis Models Issues And New Directions


Statistical Network Analysis Models Issues And New Directions
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Author : Edoardo M. Airoldi
language : en
Publisher: Springer
Release Date : 2008-04-12

Statistical Network Analysis Models Issues And New Directions written by Edoardo M. Airoldi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-12 with Computers categories.


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.



Computational Aspects And Applications In Large Scale Networks


Computational Aspects And Applications In Large Scale Networks
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Author : Valery A. Kalyagin
language : en
Publisher: Springer
Release Date : 2018-08-24

Computational Aspects And Applications In Large Scale Networks written by Valery A. Kalyagin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-24 with Business & Economics categories.


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.