Ebook: Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems
- Tags: Complex Systems, Complex Networks, Communications Engineering Networks, Computer Systems Organization and Communication Networks, Mathematical Modeling and Industrial Mathematics
- Series: Modeling and Simulation in Science Engineering and Technology
- Year: 2013
- Publisher: Birkhäuser Basel
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Dynamics in Online Social Networks....Pages 3-17
An Empirical Validation of Growth Models for Complex Networks....Pages 19-40
On the Routability of the Internet....Pages 41-54
The Evolution of Layered Protocol Stacks Leads to an Hourglass-Shaped Architecture....Pages 55-88
Opinion Dynamics on Coevolving Networks....Pages 89-107
Front Matter....Pages 109-109
A Template for Parallelizing the Louvain Method for Modularity Maximization....Pages 111-124
Multi-scale Modularity and Dynamics in Complex Networks....Pages 125-141
Evaluating the Performance of Clustering Algorithms in Networks....Pages 143-158
Communities in Evolving Networks: Definitions, Detection, and Analysis Techniques....Pages 159-200
Clustering Hypergraphs for Discovery of Overlapping Communities in Folksonomies....Pages 201-220
The Stability of a Graph Partition: A Dynamics-Based Framework for Community Detection....Pages 221-242
Algorithms for Finding Motifs in Large Labeled Networks....Pages 243-263
Front Matter....Pages 265-265
A Dynamical Network View of Lyon’s V?lo’v Shared Bicycle System....Pages 267-284
Generalized Voter-Like Models on Heterogeneous Networks....Pages 285-300
Epidemics on a Stochastic Model of Temporal Network....Pages 301-314
Network-Based Information Filtering Algorithms: Ranking and Recommendation....Pages 315-334
Back Matter....Pages 335-343
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.
Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Dynamics in Online Social Networks....Pages 3-17
An Empirical Validation of Growth Models for Complex Networks....Pages 19-40
On the Routability of the Internet....Pages 41-54
The Evolution of Layered Protocol Stacks Leads to an Hourglass-Shaped Architecture....Pages 55-88
Opinion Dynamics on Coevolving Networks....Pages 89-107
Front Matter....Pages 109-109
A Template for Parallelizing the Louvain Method for Modularity Maximization....Pages 111-124
Multi-scale Modularity and Dynamics in Complex Networks....Pages 125-141
Evaluating the Performance of Clustering Algorithms in Networks....Pages 143-158
Communities in Evolving Networks: Definitions, Detection, and Analysis Techniques....Pages 159-200
Clustering Hypergraphs for Discovery of Overlapping Communities in Folksonomies....Pages 201-220
The Stability of a Graph Partition: A Dynamics-Based Framework for Community Detection....Pages 221-242
Algorithms for Finding Motifs in Large Labeled Networks....Pages 243-263
Front Matter....Pages 265-265
A Dynamical Network View of Lyon’s V?lo’v Shared Bicycle System....Pages 267-284
Generalized Voter-Like Models on Heterogeneous Networks....Pages 285-300
Epidemics on a Stochastic Model of Temporal Network....Pages 301-314
Network-Based Information Filtering Algorithms: Ranking and Recommendation....Pages 315-334
Back Matter....Pages 335-343
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