Guide To Temporal Networks, A (Second Edition)

Guide To Temporal Networks, A (Second Edition) PDF Author: Naoki Masuda
Publisher: World Scientific
ISBN: 1786349175
Category : Science
Languages : en
Pages : 300

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Book Description
Network science offers a powerful language to represent and study complex systems composed of interacting elements — from the Internet to social and biological systems. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks and provides connections between the different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology.This second edition extensively expands upon the coverage of the first edition as the authors expertly present recent theoretical and modelling progress in the emerging field of temporal networks, providing the keys to (and connections between) the different areas of knowledge required to address this multi-disciplinary problem.

Guide To Temporal Networks, A (Second Edition)

Guide To Temporal Networks, A (Second Edition) PDF Author: Naoki Masuda
Publisher: World Scientific
ISBN: 1786349175
Category : Science
Languages : en
Pages : 300

Get Book Here

Book Description
Network science offers a powerful language to represent and study complex systems composed of interacting elements — from the Internet to social and biological systems. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks and provides connections between the different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology.This second edition extensively expands upon the coverage of the first edition as the authors expertly present recent theoretical and modelling progress in the emerging field of temporal networks, providing the keys to (and connections between) the different areas of knowledge required to address this multi-disciplinary problem.

A Guide to Temporal Networks

A Guide to Temporal Networks PDF Author: Naoki Masuda
Publisher:
ISBN: 9781786349163
Category : Computational complexity
Languages : en
Pages : 300

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Book Description
"Network science offers a powerful language to represent and study complex systems composed of interacting elements - from the Internet to social and biological systems. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks and provides connections between the different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology. This second edition extensively expands upon the coverage of the first edition as the authors expertly present recent theoretical and modelling progress in the emerging field of temporal networks, providing the keys to (and connections between) the different areas of knowledge required to address this multi-disciplinary problem"--Publisher's website.

Temporal Networks

Temporal Networks PDF Author: Petter Holme
Publisher: Springer
ISBN: 3642364616
Category : Science
Languages : en
Pages : 356

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Book Description
The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.

Temporal Network Theory

Temporal Network Theory PDF Author: Petter Holme
Publisher: Springer Nature
ISBN: 3030234959
Category : Science
Languages : en
Pages : 375

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Book Description
This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the "big data" sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade.

Temporal Networks

Temporal Networks PDF Author: Petter Holme
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Temporal Network Epidemiology

Temporal Network Epidemiology PDF Author: Naoki Masuda
Publisher: Springer
ISBN: 9811052875
Category : Mathematics
Languages : en
Pages : 345

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Book Description
This book covers recent developments in epidemic process models and related data on temporally varying networks. It is widely recognized that contact networks are indispensable for describing, understanding, and intervening to stop the spread of infectious diseases in human and animal populations; “network epidemiology” is an umbrella term to describe this research field. More recently, contact networks have been recognized as being highly dynamic. This observation, also supported by an increasing amount of new data, has led to research on temporal networks, a rapidly growing area. Changes in network structure are often informed by epidemic (or other) dynamics, in which case they are referred to as adaptive networks. This volume gathers contributions by prominent authors working in temporal and adaptive network epidemiology, a field essential to understanding infectious diseases in real society.

Understanding Large Temporal Networks and Spatial Networks

Understanding Large Temporal Networks and Spatial Networks PDF Author: Vladimir Batagelj
Publisher: John Wiley & Sons
ISBN: 1118915356
Category : Mathematics
Languages : en
Pages : 464

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Book Description
This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved. Reviews: "this book is easy to read and entertaining, and much can be learned from it. Even if you know just about everything about large-scale and temporal networks, the book is a worthwhile read; you will learn a lot about SNA literature, patents, the US Supreme Court, and European soccer." (Social Networks) "a clear and accessible textbook, balancing symbolic maths, code, and visual explanations. The authors’ enthusiasm for the subject matter makes it enjoyable to read" (JASSS)

A Guide to First-Passage Processes

A Guide to First-Passage Processes PDF Author: Sidney Redner
Publisher: Cambridge University Press
ISBN: 0521652480
Category : Business & Economics
Languages : en
Pages : 332

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Book Description
The basic theory presented in a way which emphasizes intuition, problem-solving and the connections with other fields.

Temporal Networks: Modeling and Analysis

Temporal Networks: Modeling and Analysis PDF Author: Zhen Xiang
Publisher:
ISBN:
Category :
Languages : en
Pages : 110

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Book Description


Temporal Data Mining

Temporal Data Mining PDF Author: Theophano Mitsa
Publisher: CRC Press
ISBN: 1420089773
Category : Business & Economics
Languages : en
Pages : 398

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Book Description
From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references.