Publication

Steady-state dynamics of the forest fire model on complex networks

Related publications (35)

A method to identify and validate mitochondrial modulators using mammalian cells and the worm C-elegans

Johan Auwerx, Laurent Mouchiroud, Pénélope Andreux, Richardus Houtkooper, Xu Wang, Norman Lionel Moullan, Adrienne Joëlle Laurence Mottis, Virginija Jovaisaite, Sabrina Bichet

Mitochondria are semi-autonomous organelles regulated by a complex network of proteins that are vital for many cellular functions. Because mitochondrial modulators can impact many aspects of cellular homeostasis, their identification and validation has pro ...

Nature Publishing Group2014

Carlo Helman : merchant, patron and collector in the Antwerp – Venice migrant network

Isabella Di Lenardo

This contribution is part of the monographic number of the Nederlands Yearbook for History of Art dedicated to a large overview on the “Art and Migration. Nethelandish Artists on the Move, 1400-1750”. In the dynamics of migration, circulation, establishing ...

Brill2014

The Evolution and Complexity of Urban Street Networks

Nahid Mohajeri Pour Rayeni

Street networks are one of the very few types of complex networks where the history of the network can be traced over long periods of time. Here we introduce methods for quantifying the geometric characteristics of street networks and analyze the details o ...

Wiley-Blackwell2014

Introduction to the issue on adaptation and learning over complex networks

Ali H. Sayed

The articles in this special issue report on up-to-date advances in the broad area of information processing over graphs. Due to the highly cross-disciplinary nature of complex networks, the technical articles in this April 2013 issue of the IEEE Journal o ...

IEEE2013

Urban street networks, a comparative analysis of ten European cities

Emanuele Strano, Alessio Vincenzo Cardillo

We compare the structural properties of the street networks of ten different European cities using their primal representation. We investigate the properties of the geometry of the networks and a set of centrality measures highlighting differences and simi ...

Pion Ltd2013

Adaptation and learning over complex networks [From the Guest Editors]

Ali H. Sayed

The topic of this special issue deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Discusses research and development in the area of the adaption and ...

IEEE2013

Self-shaping attractors for coupled limit cycle oscillators

Max-Olivier Hongler, Philippe Blanchard, Julio Rodriguez

We consider a complex network of N diffusively coupled stable limit cycle oscillators. Each individual system has its own set of local parameters Λ, characterizing its frequencies and the shape of limit cycle. The Λ are allowed, thanks to appropriate inter ...

Springer2013

Adaptive decision-making over complex networks

Ali H. Sayed

It is common for biological networks to encounter situations where agents need to decide between multiple options, such as deciding between moving towards one food source or another or between moving towards a new hive or another. In previous works, we dev ...

IEEE2012

Locating the Source of Diffusion in Large-Scale Networks

Martin Vetterli, Patrick Thiran, Pedro Pereira Correia Pinto

How can we localize the source of diffusion in a complex network? Due to the tremendous size of many real networks---such as the Internet or the human social graph---it is usually infeasible to observe the state of all nodes in a network. We show that it i ...

American Physical Society2012

Distributed Dynamics on Networks and their Applications in Network Communities, Sensor Networks and EEG's

Alireza Khadivi

Coupled neural networks, the Internet, World Wide Web, social networks and interacting biological networks are few examples of systems which consist of a large number of interacting dynamical units. Collective behavior of such systems is a consequence of t ...

EPFL2011

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