Fundamentals of Complex Networks

Models, Structures and Dynamics
Author: Guanrong Chen,Xiaofan Wang,Xiang Li
Publisher: John Wiley & Sons
ISBN: 1118718119
Category: Computers
Page: 392
View: 7306
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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. In particular, advanced societies have become dependent on large infrastructural networks to an extent beyond our capability to plan (modeling) and to operate (control). The recent spate of collapses in power grids and ongoing virus attacks on the Internet illustrate the need for knowledge about modeling, analysis of behaviors, optimized planning and performance control in such ne ...

Complex Networks

A Networking and Signal Processing Perspective
Author: B. S. Manoj,Abhishek Chakraborty,Rahul Singh
Publisher: Prentice Hall
ISBN: 0134787129
Category: Computers
Page: 576
View: 1492
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The Up-to-Date Guide to Complex Networks for Students, Researchers, and Practitioners Networks with complex and irregular connectivity patterns appear in biology, chemistry, communications, social networks, transportation systems, power grids, the Internet, and many big data applications. Complex Networks offers a novel engineering perspective on these networks, focusing on their key communications, networking, and signal processing dimensions. Three leading researchers draw on recent advances to illuminate the design and characterization of complex computer networks and graph signal processing systems. The authors cover both the fundamental concepts underlying graph theory and complex networks, as well as current theory and research. They discuss spectra and signal processing in complex networks, graph signal processing approaches for extracting information from structural data, and advanced techniques for multiscale analysis. What makes networks complex, and how to successfully characterize them Graph theory foundations, definitions, and concepts Full chapters on small-world, scale-free, small-world wireless mesh, and small-world wireless sensor networks Complex network spectra and graph signal processing concepts and techniques Multiscale analysis via transforms and wavelets

Complex Networks VII

Proceedings of the 7th Workshop on Complex Networks CompleNet 2016
Author: Hocine Cherifi,Bruno Gonçalves,Ronaldo Menezes,Roberta Sinatra
Publisher: Springer
ISBN: 3319305697
Category: Computers
Page: 378
View: 1465
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The last decades have seen the emergence of Complex Networks as the language with which a wide range of complex phenomena in fields as diverse as Physics, Computer Science, and Medicine (to name just a few) can be properly described and understood. This book provides a view of the state of the art in this dynamic field and covers topics ranging from network controllability, social structure, online behavior, recommendation systems, and network structure. This book includes the peer-reviewed list of works presented at the 7th Workshop on Complex Networks CompleNet 2016 which was hosted by the Université de Bourgogne, France, from March 23-25, 2016. The 28 carefully reviewed and selected contributions in this book address many topics related to complex networks and have been organized in seven major groups: (1) Theory of Complex Networks, (2) Multilayer networks, (3) Controllability of networks, (4) Algorithms for networks, (5) Community detection, (6) Dynamics and spreading phenomena on networks, (7) Applications of Networks.

Complex Networks

Principles, Methods and Applications
Author: Vito Latora,Vincenzo Nicosia,Giovanni Russo
Publisher: Cambridge University Press
ISBN: 1107103185
Category: Science
Page: 594
View: 8085
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A comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.

Complex Networks X

Proceedings of the 10th Conference on Complex Networks CompleNet 2019
Author: Sean P. Cornelius,Clara Granell Martorell,Jesús Gómez-Gardeñes,Bruno Gonçalves
Publisher: Springer
ISBN: 3030144593
Category: Science
Page: 183
View: 6097
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This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security. This text will appeal to students and researchers in the field.

The Structure of Complex Networks

Theory and Applications
Author: Ernesto Estrada
Publisher: Oxford University Press
ISBN: 019959175X
Category: Computers
Page: 465
View: 5822
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The book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined, quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks.

Complex Networks


Author: Ronaldo Menezes,Alexandre Evsukoff,Marta C. González
Publisher: Springer
ISBN: 3642302874
Category: Computers
Page: 266
View: 3569
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In the last decade we have seen the emergence of a new inter-disciplinary field concentrating on the understanding large networks which are dynamic, large, open, and have a structure that borders order and randomness. The field of Complex Networks has helped us better understand many complex phenomena such as spread of decease, protein interaction, social relationships, to name but a few. The field of Complex Networks has received a major boost caused by the widespread availability of huge network data resources in the last years. One of the most surprising findings is that real networks behave very distinct from traditional assumptions of network theory. Traditionally, real networks were supposed to have a majority of nodes of about the same number of connections around an average. This is typically modeled by random graphs. But modern network research could show that the majority of nodes of real networks is very low connected, and, by contrast, there exists some nodes of very extreme connectivity (hubs). The current theories coupled with the availability of data makes the field of Complex Networks (sometimes called Network Sciences) one of the most promising interdisciplinary disciplines of today. This sample of works in this book gives as a taste of what is in the horizon such controlling the dynamics of a network and in the network, using social interactions to improve urban planning, ranking in music, and the understanding knowledge transfer in influence networks.

Complex Networks


Author: Eli Ben-Naim,Hans Frauenfelder,Zoltan Toroczkai
Publisher: Springer Science & Business Media
ISBN: 9783540223542
Category: Science
Page: 520
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This volume is devoted to the applications of techniques from statistical physics to the characterization and modeling of complex networks. The first two parts of the book concern theory and modeling of networks, the last two parts survey applications to a wide variety of natural and artificial networks. The tutorial reviews that form this book are aimed at students and newcomers to the field, and will also constitute a modern and comprehensive reference for experts. To this aim, all contributions have been carefully peer-reviewed not only for scientific content but also for self-consistency and readability.

Dynamics On and Of Complex Networks

Applications to Biology, Computer Science, and the Social Sciences
Author: Niloy Ganguly,Andreas Deutsch,Animesh Mukherjee
Publisher: Springer Science & Business Media
ISBN: 0817647511
Category: Computers
Page: 305
View: 4596
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This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Topics covered include complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks. 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 systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.

Managing Complex Networks

Strategies for the Public Sector
Author: Walter J M Kickert,Erik-Hans Klijn,Joop F M Koppenjan
Publisher: SAGE
ISBN: 144623195X
Category: Business & Economics
Page: 224
View: 7871
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Although the concept of policy networks is now well-established in the field, most research has to content itself with description and analysis of their contribution to policy failure. This book goes further. It accepts policy networks as a fundamental characteristic of modern societies and presents an overview of the strategies for the management of these networks, as well as illustrating the various strategies for intervention.

Community Structure of Complex Networks


Author: Hua-Wei Shen
Publisher: Springer Science & Business Media
ISBN: 3642318215
Category: Computers
Page: 117
View: 5406
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Community structure is a salient structural characteristic of many real-world networks. Communities are generally hierarchical, overlapping, multi-scale and coexist with other types of structural regularities of networks. This poses major challenges for conventional methods of community detection. This book will comprehensively introduce the latest advances in community detection, especially the detection of overlapping and hierarchical community structures, the detection of multi-scale communities in heterogeneous networks, and the exploration of multiple types of structural regularities. These advances have been successfully applied to analyze large-scale online social networks, such as Facebook and Twitter. This book provides readers a convenient way to grasp the cutting edge of community detection in complex networks. The thesis on which this book is based was honored with the “Top 100 Excellent Doctoral Dissertations Award” from the Chinese Academy of Sciences and was nominated as the “Outstanding Doctoral Dissertation” by the Chinese Computer Federation.

Evolutionary Computation and Complex Networks


Author: Jing Liu,Hussein A. Abbass,Kay Chen Tan
Publisher: Springer
ISBN: 3319600001
Category: Technology & Engineering
Page: 148
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This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

Control Techniques for Complex Networks


Author: Sean Meyn
Publisher: Cambridge University Press
ISBN: 0521884411
Category: Computers
Page: 562
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From foundations to state-of-the-art; the tools and philosophy you need to build network models.

Algorithmics of Large and Complex Networks

Design, Analysis, and Simulation
Author: Jürgen Lerner,Dorothea Wagner,Katharina Zweig
Publisher: Springer Science & Business Media
ISBN: 3642020933
Category: Computers
Page: 401
View: 9086
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A state-of-the-art survey that reports on the progress made in selected areas of this important and growing field, aiding the analysis of existing networks and the design of new and more efficient algorithms for solving various problems on these networks.

Handbook of Optimization in Complex Networks

Communication and Social Networks
Author: My T. Thai,Panos M. Pardalos
Publisher: Springer Science & Business Media
ISBN: 1461408571
Category: Mathematics
Page: 544
View: 945
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Complex Social Networks is a newly emerging (hot) topic with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. In the last decade, there has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines, ranging from mathematics and computer science to the social and biological sciences. Optimization of complex communication networks requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. Although there are a few books addressing social networks or complex networks, none of them has specially focused on the optimization perspective of studying these networks. This book provides the basic theory of complex networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks. A wide range of applications and optimization problems derived from research areas such as cellular and molecular chemistry, operations research, brain physiology, epidemiology, and ecology.

Complex Networks and Their Applications VIII

Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
Author: Hocine Cherifi,Sabrina Gaito,José Fernendo Mendes,Esteban Moro,Luis Mateus Rocha
Publisher: Springer Nature
ISBN: 3030366871
Category: Technology & Engineering
Page: 979
View: 9691
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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 Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. 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; 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.

Complex Networks IX

Proceedings of the 9th Conference on Complex Networks CompleNet 2018
Author: Sean Cornelius,Kate Coronges,Bruno Gonçalves,Roberta Sinatra,Alessandro Vespignani
Publisher: Springer
ISBN: 331973198X
Category: Science
Page: 350
View: 5579
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This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) in Boston, MA, March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.

Graph Spectra for Complex Networks


Author: Piet van Mieghem
Publisher: Cambridge University Press
ISBN: 1139492276
Category: Technology & Engineering
Page: N.A
View: 5902
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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.

Data Science and Complex Networks

Real Case Studies with Python
Author: Guido Caldarelli,Alessandro Chessa
Publisher: Oxford University Press
ISBN: 0191024023
Category: Science
Page: 136
View: 6472
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This book provides a comprehensive yet short description of the basic concepts of Complex Network theory. In contrast to other books the authors present these concepts through real case studies. The application topics span from Foodwebs, to the Internet, the World Wide Web and the Social Networks, passing through the International Trade Web and Financial time series. The final part is devoted to definition and implementation of the most important network models. The text provides information on the structure of the data and on the quality of available datasets. Furthermore it provides a series of codes to allow immediate implementation of what is theoretically described in the book. Readers already used to the concepts introduced in this book can learn the art of coding in Python by using the online material. To this purpose the authors have set up a dedicated web site where readers can download and test the codes. The whole project is aimed as a learning tool for scientists and practitioners, enabling them to begin working instantly in the field of Complex Networks.

Structural Analysis of Complex Networks


Author: Matthias Dehmer
Publisher: Springer Science & Business Media
ISBN: 0817647899
Category: Mathematics
Page: 486
View: 5375
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Filling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow for a structural exploration of complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Applications to biology, chemistry, linguistics, and data analysis are emphasized. The book is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. It may also be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods.