Publication

Percolation and Internet Science

Related publications (131)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Quasiuniversal Connectedness Percolation of Polydisperse Rod Systems

Peter Ryser, Claudio Grimaldi, Biagio Nigro

The connectedness percolation threshold (eta(c)) and critical coordination number (Z(c)) of systems of penetrable spherocylinders characterized by a length polydispersity are studied by way of Monte Carlo simulations for several aspect ratio distributions. ...

American Physical Society2013

Look up!: Your Future is in the Cloud

James Richard Larus

The "Cloud" is a wonderfully expansive phrase used to denote computation and data storage centralized in a large datacenter and elastically accessed across a network. The concept is not new; web sites and business servers have run in datacenters for a long ...

ACM2013

Computational Aspects of Distributed Optimization in Model Predictive Control

Colin Neil Jones, Tyler Summers, Melanie Nicole Zeilinger

This paper presents a systematic computational study on the performance of distributed optimization in model predictive control (MPC). We consider networks of dynamically coupled systems, which are subject to input and state con- straints. The resulting MP ...

2012

Topology of evolving pore networks

Emmanuel Gallucci, Marco Stampanoni

Morphological and topological quantification of complex pore networks is of great relevance for environmental engineering, earth science and industry. Recent developments of 3D imaging techniques such as X-ray microtomography or X-ray microscopy provide an ...

Edp Sciences S A2012

Tunneling and percolation transport regimes in segregated composites

Peter Ryser, Claudio Grimaldi, Biagio Nigro

We consider the problem of electron transport in segregated conductor-insulator composites in which the conducting particles are connected to all others via tunneling conductances, thus forming a global tunneling-connected resistor network. Segregation is ...

2012

Tunneling conductivity in composites of attractive colloids

Peter Ryser, Claudio Grimaldi, Biagio Nigro

In conductor-insulator nanocomposites in which conducting fillers are dispersed in an insulating matrix, the electrical connectedness is established by inter-particle tunneling or hopping processes. These systems are intrinsically non-percolative and a coh ...

American Institute of Physics2012

Effective information flow over mobile adaptive networks

Ali H. Sayed

Collective motion is a remarkable phenomenon in biological systems. There have been several models in the literature to regenerate this type of motion, such as averaging consensus strategies where nodes continuously average the velocity vectors of their ne ...

IEEE2012

Limit Behaviour of the Voter Model, Exclusion Process and Regenerative Chains

Samuel Schöpfer

Though the following topics seem unlinked, most of the tools used in this thesis are related to random walks and renewal theory. After introducing the voter model, we consider the parabolic Anderson model with the voter model as catalyst. In GÄRTNER, DEN H ...

EPFL2012

Selfish Response to Epidemic Propagation

Jean-Yves Le Boudec, Georgios Theodorakopoulos

An epidemic spreading in a network calls for a decision on the part of the network members: They should decide whether to protect themselves or not. Their decision depends on the trade off between their perceived risk of being infected and the cost of bein ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

On the effects of topology and node distribution on learning over complex adaptive networks

Ali H. Sayed

Adaptive networks consist of a collection of nodes with adaptation and learning abilities. The nodes interact with each other on a local level and diffuse information across the network through their collaborations, as dictated by the network topology and ...

IEEE2011