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29 FEBRUARY 2016

Tomás Saraceno: Galaxies Forming along Filaments, Like Droplets along the Strands of a Spider’s Web (2008)

"In his dramatic installation Galaxies Forming along Filaments, Like Droplets along the Strands of a Spider's Web (2008) Tomas Saraceno applied another analogy inspired by that finding: the comparison between our 'spongy' universe and a complex spider web in which groups of stars and other matter are strung like shining beads of water along invisible strands. Saraceno, a former architect known for following in the tradition of other maverick designers who have developed provocatively inventive projects with the goal of changing human behaviour and living conditions – such as Buckminster Fuller, Archigram and the Ant Farm group – also has a knack for presenting his conceptual projects in ways that capture the imagination."

(Kristin M. Jones, 2008, Frieze)

Jones, K. M. (2008). "Tomas Saraceno" Frieze(116).

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TAGS

2008 • airborne biosphere • alternate ways of living • analogyAnt Farm (architecture)Archigramart installationbiosphereblack and whiteBuckminster Fuller • capture the imagination • changing human behaviour • cloud formations • complex networks • conceptual projects • droplet • filament • Frieze (magazine) • galaxies forming • galaxy • inflatable biosphere • inventive projects • invisible strands • large scale workliving conditionsmaterials science • maverick designer • morphology of soap bubbles • network modelnetwork morphology • neural networks • provocatively inventive • shining beads • soap bubbles • speculative models • spider web • sponge • spongy universe • stars • Tomas Saraceno • visual representations of mathematical conceptswaterweb of connectionswhite box

CONTRIBUTOR

Simon Perkins
25 FEBRUARY 2016

Universal resilience patterns in complex networks

"Resilience, a system's ability to adjust its activity to retain its basic functionality when errors, failures and environmental changes occur, is a defining property of many complex systems. Despite widespread consequences for human health, the economy and the environment, events leading to loss of resilience—from cascading failures in technological systems to mass extinctions in ecological networks—are rarely predictable and are often irreversible. These limitations are rooted in a theoretical gap: the current analytical framework of resilience is designed to treat low-dimensional models with a few interacting components, and is unsuitable for multi-dimensional systems consisting of a large number of components that interact through a complex network. Here we bridge this theoretical gap by developing a set of analytical tools with which to identify the natural control and state parameters of a multi-dimensional complex system, helping us derive effective one-dimensional dynamics that accurately predict the system's resilience. The proposed analytical framework allows us systematically to separate the roles of the system's dynamics and topology, collapsing the behaviour of different networks onto a single universal resilience function. The analytical results unveil the network characteristics that can enhance or diminish resilience, offering ways to prevent the collapse of ecological, biological or economic systems, and guiding the design of technological systems resilient to both internal failures and environmental changes."

(Jianxi Gao, Baruch Barzel & Albert-László Barabási, 17 February 2016, Nature)

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TAGS

2016Albert-Laszlo Barabasi • Baruch Barzel • biological systems • cascading failure • Cognitive Visualization Lab • complex networkscomplex systems • critical phenomena • data visualisationdroughtecological balance • ecological networks • ecological sustainability • ecological systems • ecosystemenvironmental changeenvironmental statisticsextinctionglobal issuesIBM • IBM Watson • interrelationships • irreversible change • Jianxi Gao • loss of resilience • Mauro Martino • multidimensional systems • network dynamics • network earth • network ecologynetwork model • network relationships • networked interaction • nonlinear phenomena • Northeastern University • one-dimensional dynamics • phase transitions • resiliencespeciationsustainability • system collapse • technological systems • universal resilience function • universal resilience patterns • visual explanations • visual representation graphicallyvisual representations of scientific conceptsvisualising data • wildfire

CONTRIBUTOR

Simon Perkins
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