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相关论文: Dynamics of Air Transport Networks: A Review from …

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Air transport is a key infrastructure of modern societies. In this paper we review some recent approaches to air transport, which make extensive use of theory of complex networks. We discuss possible networks that can be defined for the air…

物理与社会 · 物理学 2015-06-15 Massimiliano Zanin , Fabrizio Lillo

The study of temporal networks is motivated by the simple and important observation that just as network structure can affect dynamics, so can structure in time. Just as network topology can teach us about the system in question, so can its…

物理与社会 · 物理学 2021-03-26 Petter Holme , Jari Saramäki

We study network properties of networks evolving in time based on optimal transport principles. These evolve from a structure covering uniformly a continuous space towards an optimal design in terms of optimal transport theory. At…

物理与社会 · 物理学 2023-10-25 Diego Baptista , Caterina De Bacco

In temporal networks, where nodes interact via sequences of temporary events, information or resources can only flow through paths that follow the time-ordering of events. Such temporal paths play a crucial role in dynamic processes.…

物理与社会 · 物理学 2011-07-20 Raj Kumar Pan , Jari Saramäki

Changes in air transport networks over time may be induced by competition among carriers, changes in regulations on airline industry, and socioeconomic events such as terrorist attacks and epidemic outbreaks. Such network changes may…

物理与社会 · 物理学 2021-03-17 Kashin Sugishita , Naoki Masuda

Complex networks provide a suitable framework to characterize air traffic. Previous works described the world air transport network as a graph where direct flights are edges and commercial airports are vertices. In this work, we focus…

物理与社会 · 物理学 2014-07-28 Pablo Fleurquin , José J. Ramasco , Victor M. Eguíluz

Recently, evolving networks are becoming a suitable form to model many real-world complex systems, due to their peculiarities to represent the systems and their constituting entities, the interactions between the entities and the…

人工智能 · 计算机科学 2017-09-21 Angelo Impedovo , Corrado Loglisci , Michelangelo Ceci

Temporal networks model how the interaction between elements in a complex system evolve over time. Just like complex systems display collective dynamics, here we interpret temporal networks as trajectories performing a collective motion in…

社会与信息网络 · 计算机科学 2022-10-18 Lucas Lacasa , Jorge P. Rodriguez , Victor M. Eguiluz

Systems of cities at the macroscopic scale have their trajectories conditioned by the evolution of infrastructure networks. This leads to complex planning and management situations in the particular case of international transportation…

物理与社会 · 物理学 2021-09-01 Juste Raimbault

Networks are important representations in computer science to communicate structural aspects of a given system of interacting components. The evolution of a network has several topological properties that can provide us information on the…

社会与信息网络 · 计算机科学 2020-04-30 Joao Pita Costa , Tihana Galinac Grbac

Technologically driven transport systems are characterized by a networked structure connecting operation centers and by a dynamics ruled by pre-established schedules. Schedules impose serious constraints on the timing of the operations,…

物理与社会 · 物理学 2013-01-30 Pablo Fleurquin , Jose J. Ramasco , Victor M. Eguiluz

Complex networks are used to depict topological features of complex systems. The structure of a network characterizes the interactions among elements of the system, and facilitates the study of many dynamical processes taking place on it.…

物理与社会 · 物理学 2012-06-22 Yan Zhang , Lin Wang , Yi-Qing Zhang , Xiang Li

It is a fundamental challenge to understand how the function of a network is related to its structural organization. Adaptive dynamical networks represent a broad class of systems that can change their connectivity over time depending on…

适应与自组织系统 · 物理学 2023-04-13 Rico Berner , Thilo Gross , Christian Kuehn , Jürgen Kurths , Serhiy Yanchuk

Complex network theory is being widely used to study many real-life systems. One of the fields that can benefit from complex network theory approach is transportation network. In this paper, we briefly review the complex network theory…

物理与社会 · 物理学 2023-08-10 Nur Umaisara Rashid , Kar Tim Chan

Dynamic transportation networks have been analyzed for years by means of static graph-based indicators in order to study the temporal evolution of relevant network components, and to reveal complex dependencies that would not be easily…

机器学习 · 统计学 2022-02-25 Hector Rodriguez-Deniz , Mattias Villani , Augusto Voltes-Dorta

Street networks, as one of the oldest infrastructures of transport in the world, play a significant role in modernization, sustainable development, and human daily activities in both ancient and modern times. Although street networks have…

物理与社会 · 物理学 2015-04-01 Bin Jiang , Atsuyuki Okabe

Most transportation networks are inherently temporal: Connections (e.g. flights, train runs) are only available at certain, scheduled times. When transporting passengers or commodities, this fact must be considered for the the planning of…

数据结构与算法 · 计算机科学 2022-01-17 Eugen Füchsle , Hendrik Molter , Rolf Niedermeier , Malte Renken

Air transportation has been becoming a major part of transportation infrastructure worldwide. Hence the study of the Airports Networks, the backbone of air transportation, is becoming increasingly important. In complex systems domain,…

物理与社会 · 物理学 2008-05-08 Ganesh Bagler

A great variety of systems in nature, society and technology -- from the web of sexual contacts to the Internet, from the nervous system to power grids -- can be modeled as graphs of vertices coupled by edges. The network structure,…

适应与自组织系统 · 物理学 2012-10-10 Petter Holme , Jari Saramäki

Temporal network analysis and time evolution of network characteristics are powerful tools in describing the changing topology of dynamic networks. This paper uses such approaches to better visualize and provide analytical measures for the…

多智能体系统 · 计算机科学 2021-10-04 N. DiBrita , K. Eledlebi , H. Hildmann , L. Culley , A. F. Isakovic
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