Complexity aided design

Carbone, Anna Filomena; Ajmone-Marsan, Marco; Axhausen, Kay W.; Batty, Michael; Masera, Marcelo; Rome, Erich

doi:10.1140/epjst/e2012-01701-5

Cited by 5 publications

(2 citation statements)

References 46 publications

(32 reference statements)

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“…As such, and taking into account the multitude of disciplines in which network science is needed, such research requires intimate interdisciplinary cooperation between computer scientists, social scientists, engineers, mathematicians, and physicists. Such a synergy is the core basis for the FuturICT Flagship project [1][2][3][4][5], which aims to make use of big data to understand, crate and manage complex techno-socio-economic systems [6,7].…”

Section: Introduction and Overviewmentioning

confidence: 99%

Challenges in network science: Applications to infrastructures, climate, social systems and economics

Havlin

Kenett

Ben‐Jacob

et al. 2012

Eur. Phys. J. Spec. Top.

162

102

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Abstract. Network theory has become one of the most visible theoretical frameworks that can be applied to the description, analysis, understanding, design and repair of multi-level complex systems. Complex networks occur everywhere, in man-made and human social systems, in organic and inorganic matter, from nano to macro scales, and a e-mail: havlins@gmail.com b e-mail: drorkenett@gmail.com c e-mail: eshelbj@gmail.com d e-mail: armin.bunde@physik.uni-giessen.de e e-mail: reuven@macs.biu.ac.il f e-mail: hans@ifb.baug.ethz.ch g e-mail: jan.kantelhardt@physik.uni-halle.de h e-mail: kertesz@phy.bme.hu i e-mail: kirk@cs.huji.ac.il j e-mail: kurths@pik-potsdam.de k e-mail: juval@post.tau.ac.il l e-mail: sorin@vms.huji.ac.il 274The European Physical Journal Special Topics in natural and anthropogenic structures. New applications are developed at an ever-increasing rate and the promise for future growth is high, since increasingly we interact with one another within these vital and complex environments. Despite all the great successes of this field, crucial aspects of multi-level complex systems have been largely ignored. Important challenges of network science are to take into account many of these missing realistic features such as strong coupling between networks (networks are not isolated), the dynamics of networks (networks are not static), interrelationships between structure, dynamics and function of networks, interdependencies in given networks (and other classes of links, including different signs of interactions), and spatial properties (including geographical aspects) of networks. This aim of this paper is to introduce and discuss the challenges that future network science needs to address, and how different disciplines will be accordingly affected.

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Section: Introduction and Overviewmentioning

confidence: 99%

Challenges in network science: Applications to infrastructures, climate, social systems and economics

Havlin

Kenett

Ben‐Jacob

et al. 2012

Eur. Phys. J. Spec. Top.

162

102

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“…The PNS will support the LES with the vital resource of data access, critical steps of simulation as calibration, validation and measurements of initial and boundary conditions, development of new approaches to data and knowledge mining. The LES will be designed to be publicly accessible through the Global Participatory Platform (GPP) [13] and to have the FuturICT Exploratories as privileged interlocutors [14][15][16][17]. The manuscript is organized as follows.…”

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confidence: 99%

Towards a living earth simulator

Paolucci

Kossman

Conte

et al. 2012

Eur. Phys. J. Spec. Top.

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Abstract. The Living Earth Simulator (LES) is one of the core components of the FuturICT architecture. It will work as a federation of methods, tools, techniques and facilities supporting all of the FuturICT simulation-related activities to allow and encourage interactive exploration and understanding of societal issues. Society-relevant problems will be targeted by leaning on approaches based on complex systems theories and data science in tight interaction with the other components of FuturICT. The LES will evaluate and provide answers to realworld questions by taking into account multiple scenarios. It will build on present approaches such as agent-based simulation and modeling, multiscale modelling, statistical inference, and data mining, moving beyond disciplinary borders to achieve a new perspective on complex social systems.

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Distributed Simulation of Complex and Scalable Systems: From Models to the Cloud

Medel

Arronategui

Bañares

et al. 2017

Economics of Grids, Clouds, Systems, and Services

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Complexity aided design

Abstract: "In the next century, planet earth will don an electronic skin. It will use the Internet as a scaffold to support and transmit its sensations. This skin is already being stitched together. It consists of millions of embedded electronic measuring devices:

Cited by 5 publications

References 46 publications

Challenges in network science: Applications to infrastructures, climate, social systems and economics

Challenges in network science: Applications to infrastructures, climate, social systems and economics

Towards a living earth simulator

Distributed Simulation of Complex and Scalable Systems: From Models to the Cloud

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