Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Unraveling Complex Networks Under The Prism Of Dynamical Processes full books in PDF, epub, and Kindle. Read online Unraveling Complex Networks Under The Prism Of Dynamical Processes ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Michael Thomas Schaub
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)
Download or read book Unraveling Complex Networks Under the Prism of Dynamical Processes written by Michael Thomas Schaub and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alain Barrat
Publisher :
ISBN 13 : 9780511456268
Total Pages : 347 pages
Book Rating : 4.4/5 (562 download)
Download or read book Dynamical Processes on Complex Networks written by Alain Barrat and published by . This book was released on 2008 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alain Barrat
Publisher : Cambridge University Press
ISBN 13 : 1107377420
Total Pages : 409 pages
Book Rating : 4.1/5 (73 download)
Download or read book Dynamical Processes on Complex Networks written by Alain Barrat and published by Cambridge University Press. This book was released on 2008-10-23 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject.
Author : Patrick Doreian
Publisher : John Wiley & Sons
ISBN 13 : 1119224705
Total Pages : 425 pages
Book Rating : 4.1/5 (192 download)
Download or read book Advances in Network Clustering and Blockmodeling written by Patrick Doreian and published by John Wiley & Sons. This book was released on 2020-02-03 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.
Author : Michele Catanzaro
Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.:/5 (84 download)
Download or read book Dynamical Processes in Complex Networks written by Michele Catanzaro and published by . This book was released on 2008 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Xinchu Fu
Publisher : John Wiley & Sons
ISBN 13 : 1118762819
Total Pages : 273 pages
Book Rating : 4.1/5 (187 download)
Download or read book Propagation Dynamics on Complex Networks written by Xinchu Fu and published by John Wiley & Sons. This book was released on 2013-12-17 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores the emerging subject of epidemic dynamics on complex networks, including theories, methods, and real-world applications Throughout history epidemic diseases have presented a serious threat to human life, and in recent years the spread of infectious diseases such as dengue, malaria, HIV, and SARS has captured global attention; and in the modern technological age, the proliferation of virus attacks on the Internet highlights the emergent need for knowledge about modeling, analysis, and control in epidemic dynamics on complex networks. For advancement of techniques, it has become clear that more fundamental knowledge will be needed in mathematical and numerical context about how epidemic dynamical networks can be modelled, analyzed, and controlled. This book explores recent progress in these topics and looks at issues relating to various epidemic systems. Propagation Dynamics on Complex Networks covers most key topics in the field, and will provide a valuable resource for graduate students and researchers interested in network science and dynamical systems, and related interdisciplinary fields. Key Features: Includes a brief history of mathematical epidemiology and epidemic modeling on complex networks. Explores how information, opinion, and rumor spread via the Internet and social networks. Presents plausible models for propagation of SARS and avian influenza outbreaks, providing a reality check for otherwise abstract mathematical modeling. Considers various infectivity functions, including constant, piecewise-linear, saturated, and nonlinear cases. Examines information transmission on complex networks, and investigates the difference between information and epidemic spreading.
Author : Guanrong Chen
Publisher : John Wiley & Sons
ISBN 13 : 1118718119
Total Pages : 384 pages
Book Rating : 4.1/5 (187 download)
Download or read book Fundamentals of Complex Networks written by Guanrong Chen and published by John Wiley & Sons. This book was released on 2015-06-29 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex networks such as the Internet, WWW, transportation networks, power grids, biological neural networks, and scientific cooperation networks of all kinds provide challenges for future technological development. • The first systematic presentation of dynamical evolving networks, with many up-to-date applications and homework projects to enhance study • The authors are all very active and well-known in the rapidly evolving field of complex networks • Complex networks are becoming an increasingly important area of research • Presented in a logical, constructive style, from basic through to complex, examining algorithms, through to construct networks and research challenges of the future
Author : Fakhteh Ghanbarnejad
Publisher : Springer
ISBN 13 : 3030146839
Total Pages : 244 pages
Book Rating : 4.0/5 (31 download)
Download or read book Dynamics On and Of Complex Networks III written by Fakhteh Ghanbarnejad and published by Springer. This book was released on 2019-05-13 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.
Author : Renaud Lambiotte
Publisher : Cambridge University Press
ISBN 13 : 1108808654
Total Pages : 102 pages
Book Rating : 4.1/5 (88 download)
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.
Author : Chiranjit Mitra
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (113 download)
Download or read book Stability of Dynamical Processes on Complex Networks written by Chiranjit Mitra and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jinhu Lü
Publisher : Springer
ISBN 13 : 3662478242
Total Pages : 483 pages
Book Rating : 4.6/5 (624 download)
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 483 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.
Author : Animesh Mukherjee
Publisher : Springer Science & Business Media
ISBN 13 : 1461467292
Total Pages : 351 pages
Book Rating : 4.4/5 (614 download)
Download or read book Dynamics On and Of Complex Networks, Volume 2 written by Animesh Mukherjee and published by Springer Science & Business Media. This book was released on 2013-06-04 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book systematically explores the statistical dynamics on and of complex networks with a special focus on time-varying networks. In the constantly changing modern world, there is an urgent need to understand problems related to systems that dynamically evolve in either structure or function, or both. This work is an attempt to address such problems in the framework of complex networks. Dynamics on and of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems is a collection of surveys and cutting-edge research contributions exploring key issues, challenges, and characteristics of dynamical networks that emerge in various complex systems. Toward this goal, the work is thematically organized into three main sections with the primary thrust on time-varying networks: Part I studies social dynamics; Part II focuses on community identification; and Part III illustrates diffusion processes. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in pursuing research in dynamical networks with applications to computer science, statistical physics, nonlinear dynamics, linguistics, and the social sciences. This volume follows Dynamics On and Of Complex Networks: Applications to Biology, Computer Science, and the Social Sciences (2009), ISBN 978-0-8176-4750-6.
Author : Thilo Gross
Publisher : Springer Science & Business Media
ISBN 13 : 3642012841
Total Pages : 340 pages
Book Rating : 4.6/5 (42 download)
Download or read book Adaptive Networks written by Thilo Gross and published by Springer Science & Business Media. This book was released on 2009-08-11 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim “more is different”, is one of the characteristic features of complex systems and, in particular, complex networks. Along with their ubiquity in real world systems, the ability of networks to exhibit emergent dynamics, once they reach a certain size, has rendered them highly attractive targets for research. The resulting network hype has made the word “network” one of the most in uential buzzwords seen in almost every corner of science, from physics and biology to economy and social sciences. The theme of “more is different” appears in a different way in the present v- ume, from the viewpoint of what we call “adaptive networks.” Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation. Here adding one and one certainly does not make two, but gives rise to a number of new phenomena, including highly robust se- organization of topology and dynamics and other remarkably rich dynamical beh- iors.
Author : Tsun Se Cheong
Publisher : Frontiers Media SA
ISBN 13 : 2889765962
Total Pages : 485 pages
Book Rating : 4.8/5 (897 download)
Download or read book Application of Big Data, Deep Learning, Machine Learning, and Other Advanced Analytical Techniques in Environmental Economics and Policy written by Tsun Se Cheong and published by Frontiers Media SA. This book was released on 2022-07-25 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Animesh Mukherjee
Publisher : Birkhäuser
ISBN 13 : 9781461467281
Total Pages : 0 pages
Book Rating : 4.4/5 (672 download)
Download or read book Dynamics On and Of Complex Networks, Volume 2 written by Animesh Mukherjee and published by Birkhäuser. This book was released on 2013-06-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book systematically explores the statistical dynamics on and of complex networks with a special focus on time-varying networks. In the constantly changing modern world, there is an urgent need to understand problems related to systems that dynamically evolve in either structure or function, or both. This work is an attempt to address such problems in the framework of complex networks. Dynamics on and of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems is a collection of surveys and cutting-edge research contributions exploring key issues, challenges, and characteristics of dynamical networks that emerge in various complex systems. Toward this goal, the work is thematically organized into three main sections with the primary thrust on time-varying networks: Part I studies social dynamics; Part II focuses on community identification; and Part III illustrates diffusion processes. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in pursuing research in dynamical networks with applications to computer science, statistical physics, nonlinear dynamics, linguistics, and the social sciences. This volume follows Dynamics On and Of Complex Networks: Applications to Biology, Computer Science, and the Social Sciences (2009), ISBN 978-0-8176-4750-6.
Author : Igor Mishkovski
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (955 download)
Download or read book Vulnerability and Dynamical Processes in Complex Networks written by Igor Mishkovski and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sayat Mimar
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)
Download or read book Learning Dynamical Processes from Structure in Complex Networks written by Sayat Mimar and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Many physical, biological, social and technological systems have astonishing complex organization. They are all composed of individual components that are interacting with each other in a certain fashion. Such systems can be represented by networks that provide a convenient framework to analyze their topological properties. Understanding structural organization of networks is imperative to study dynamical processes that are taking place over them and to model many real-world complex systems. Some examples include the spread of news or information in a social network or the robustness of Internet to cascading failures of routers. It was previously reported that the underlying network architecture is able to control and shape these associated nonlinear dynamical processes. In this thesis, we aim at uncovering the exact connection between certain dynamical processes and complex topology of networks. More precisely, we study pattern formation as well as percolation phenomena. We first articulate theoretical perspectives by studying reaction diffusion models and percolation processes on synthetic networks. This gives us the freedom to systematically tune the underlying network architecture by random graph models and monitor the effects on the dynamics. Our results shed new light on the complex interplay between structure and dynamics that motivate us to investigate realistic scenarios. For each case, we extend our work to real world networks by performing analyses that capture empirical aspects of the systems considered. Namely, we propose an application to model the evolution of competing languages in a geographical region that spread over a contact network representing population flows. We show the robustness and generalizability of our framework on two different data-sets and discuss more applications in other socioeconomic systems, such as opinion formation. Additionally, we develop a machine learning approach to study percolation transition happening on time evolving networks. We find that identifying correct node subsets through a microscopic decomposition technique yields accurate results for the classification of sub-critical and super-critical percolation phases as well as for prediction of critical transition point. We test our method on two different real world settings for both purposes and propose further applications. Lastly, we finish the thesis with a pure empirical study to predict urban economic welfare through the structural analysis of global mobility network. We first determine the most effective network-based predictor of economic prosperity by its correlation to various socioeconomic indicators. We then develop a generative model that captures the costs and benefits of allocating out-flows of each urban area towards its neighbors. Our results hint at the importance of leveraging inter-urban connections for urban development and welfare"--Pages ix-x
