Temporal Networks

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Temporal Networks

Author : Petter Holme,Jari Saramäki
Publisher : Springer
Page : 352 pages
File Size : 52,8 Mb
Release : 2013-05-23
Category : Science
ISBN : 9783642364617

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Temporal Networks by Petter Holme,Jari Saramäki Pdf

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

Author : Petter Holme,Jari Saramäki
Publisher : Springer Nature
Page : 486 pages
File Size : 46,8 Mb
Release : 2023-11-20
Category : Science
ISBN : 9783031303999

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Temporal Network Theory by Petter Holme,Jari Saramäki Pdf

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 epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena. Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing 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 book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade. This second edition of Temporal Network Theory extends the first with three chapters highlighting recent developments in the interface with machine learning.

Spatio-temporal Networks

Author : Betsy George,Sangho Kim
Publisher : Springer Science & Business Media
Page : 73 pages
File Size : 41,8 Mb
Release : 2012-09-05
Category : Computers
ISBN : 9781461449188

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Spatio-temporal Networks by Betsy George,Sangho Kim Pdf

Spatio-temporal networks (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must meet the conflicting requirements of simplicity and adequate support for efficient algorithms. Another challenge is to address the change in the semantics of common graph operations, such as, shortest path computation assuming different semantics, or when temporal dimension is added. Also paradigms (e.g. dynamic programming) used in algorithm design may be ineffective since their assumptions (e.g. stationary ranking of candidates) may be violated by the dynamic nature of STNs. In recent years, STNs have attracted attention in research. New representations have been proposed along with algorithms to perform key STN operations, while accounting for their time dependence. Designing a STN database would require the development of data models, query languages, and indexing methods to efficiently represent, query, store, and manage time-variant properties of the network. The purpose of Spatio-temporal Networks: Modeling and Algorithms is to explore this design at the conceptual, logical, and physical level. Models used to represent STNs are explored and analyzed. STN operations, with an emphasis on their altered semantics with the addition of temporal dimension, are also addressed.

Guide To Temporal Networks, A (Second Edition)

Author : Naoki Masuda,Renaud Lambiotte
Publisher : World Scientific
Page : 300 pages
File Size : 49,8 Mb
Release : 2020-10-05
Category : Science
ISBN : 9781786349170

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Guide To Temporal Networks, A (Second Edition) by Naoki Masuda,Renaud Lambiotte Pdf

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.

Understanding Large Temporal Networks and Spatial Networks

Author : Vladimir Batagelj,Patrick Doreian,Anuska Ferligoj,Natasa Kejzar
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 46,9 Mb
Release : 2014-11-03
Category : Mathematics
ISBN : 9780470714522

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Understanding Large Temporal Networks and Spatial Networks by Vladimir Batagelj,Patrick Doreian,Anuska Ferligoj,Natasa Kejzar Pdf

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)

Optimization of Temporal Networks under Uncertainty

Author : Wolfram Wiesemann
Publisher : Springer Science & Business Media
Page : 168 pages
File Size : 48,9 Mb
Release : 2012-01-04
Category : Business & Economics
ISBN : 9783642234279

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Optimization of Temporal Networks under Uncertainty by Wolfram Wiesemann Pdf

Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.

Temporal Network Epidemiology

Author : Naoki Masuda,Petter Holme
Publisher : Springer
Page : 342 pages
File Size : 48,5 Mb
Release : 2017-10-04
Category : Mathematics
ISBN : 9789811052873

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Temporal Network Epidemiology by Naoki Masuda,Petter Holme Pdf

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.

The Nature of Complex Networks

Author : Sergey N. Dorogovtsev,José F. F. Mendes
Publisher : Oxford University Press
Page : 481 pages
File Size : 54,7 Mb
Release : 2022
Category : Graph theory
ISBN : 9780199695119

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The Nature of Complex Networks by Sergey N. Dorogovtsev,José F. F. Mendes Pdf

The Nature of Complex Networks provides a systematic introduction to the statistical mechanics of complex networks and the different theoretical achievements in the field that are now finding strands in common.The book presents a wide range of networks and the processes taking place on them, including recently developed directions, methods, and techniques. It assumes a statistical mechanics view of random networks based on the concept of statistical ensembles but also features the approaches and methodsof modern random graph theory and their overlaps with statistical physics.This book will appeal to graduate students and researchers in the fields of statistical physics, complex systems, graph theory, applied mathematics, and theoretical epidemiology.

Complex Systems and Networks

Author : Jinhu Lü,Xinghuo Yu,Guanrong Chen,Wenwu Yu
Publisher : Springer
Page : 482 pages
File Size : 43,8 Mb
Release : 2015-08-14
Category : Technology & Engineering
ISBN : 9783662478240

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Complex Systems and Networks by Jinhu Lü,Xinghuo Yu,Guanrong Chen,Wenwu Yu Pdf

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.

Stochastic Project Networks

Author : Klaus Neumann
Publisher : Springer Science & Business Media
Page : 250 pages
File Size : 41,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642615153

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Stochastic Project Networks by Klaus Neumann Pdf

Project planning, scheduling, and control are regularly used in business and the service sector of an economy to accomplish outcomes with limited resources under critical time constraints. To aid in solving these problems, network-based planning methods have been developed that now exist in a wide variety of forms, cf. Elmaghraby (1977) and Moder et al. (1983). The so-called "classical" project networks, which are used in the network techniques CPM and PERT and which represent acyclic weighted directed graphs, are able to describe only projects whose evolution in time is uniquely specified in advance. Here every event of the project is realized exactly once during a single project execution and it is not possible to return to activities previously carried out (that is, no feedback is permitted). Many practical projects, however, do not meet those conditions. Consider, for example, a production process where some parts produced by a machine may be poorly manufactured. If an inspection shows that a part does not conform to certain specifications, it must be repaired or replaced by a new item. This means that we have to return to a preceding stage of the production process. In other words, there is feedback. Note that the result of the inspection is that a certain percentage of the parts tested do not conform. That is, there is a positive probability (strictly less than 1) that any part is defective.

Complex Networks & Their Applications X

Author : Rosa Maria Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis M. Rocha,Marta Sales-Pardo
Publisher : Springer Nature
Page : 896 pages
File Size : 43,6 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030934095

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Complex Networks & Their Applications X by Rosa Maria Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis M. Rocha,Marta Sales-Pardo Pdf

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 X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, 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.

Temporal Network Theory

Author : Petter Holme,Jari Saramäki
Publisher : Springer Nature
Page : 375 pages
File Size : 53,8 Mb
Release : 2019-10-29
Category : Science
ISBN : 9783030234959

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Temporal Network Theory by Petter Holme,Jari Saramäki Pdf

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.

Opportunistic Mobile Social Networks

Author : Jie Wu,Yunsheng Wang
Publisher : CRC Press
Page : 546 pages
File Size : 44,5 Mb
Release : 2014-08-05
Category : Technology & Engineering
ISBN : 9781466594944

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Opportunistic Mobile Social Networks by Jie Wu,Yunsheng Wang Pdf

The widespread availability of mobile devices along with recent advancements in networking capabilities make opportunistic mobile social networks (MSNs) one of the most promising technologies for next-generation mobile applications. Opportunistic Mobile Social Networks supplies a new perspective of these networks that can help you enhance spontaneous interaction and communication among users that opportunistically encounter each other, without additional infrastructure support. The book explores recent developments in the theoretical, algorithmic, and application-based aspects of opportunistic MSNs. It presents the motivation behind opportunistic MSNs, describes their underpinning and key concepts, and also explores ongoing research. Supplies a systematic study of the constrained information flow problem Reviews the recent literature on social influence in complex social networks Presents a complete overview of the fundamental characteristics of link-level connectivity in opportunistic networks Explains how mobility and dynamic network structure impact the processing capacity of opportunistic MSNs for cloud applications Provides a comprehensive overview of the routing schemes proposed in opportunistic MSNs Taking an in-depth look at multicast protocols, the book explains how to provide pervasive data access to mobile users without the support of cellular or Internet infrastructures. Considering privacy and security issues, it surveys a collection of cutting-edge approaches for minimizing privacy leakage during opportunistic user profile exchange. The book concludes by introducing a framework for mobile peer rating using a multi-dimensional metric scheme based on encounter and location testing. It also explains how to develop a network emulation test bed for validating the efficient operation of opportunistic network applications and protocols in scenarios that involve both node mobility and wireless communication.

Complex Networks & Their Applications IX

Author : Rosa M. Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis Mateus Rocha,Marta Sales-Pardo
Publisher : Springer Nature
Page : 729 pages
File Size : 49,9 Mb
Release : 2021-01-04
Category : Technology & Engineering
ISBN : 9783030653514

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Complex Networks & Their Applications IX by Rosa M. Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis Mateus Rocha,Marta Sales-Pardo Pdf

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 IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, 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.

Multilayer Networks

Author : Ginestra Bianconi
Publisher : Oxford University Press
Page : 417 pages
File Size : 47,8 Mb
Release : 2018
Category : Mathematics
ISBN : 9780198753919

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Multilayer Networks by Ginestra Bianconi Pdf

Multilayer networks' has become a central topic in Network Science. The book presents a comprehensive account of this emerging field. Multilayer networks are formed by several networks and include social networks, financial markets, multi-modal transportation systems, infrastructures, molecular networks and the brain.--