Publications related to Multilayer description of large scale communication networks

True scale-free networks hidden by finite size effects

Andrea Rinaldo, Samir Suweis, Amos Maritan

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free structure is generally viable. This has recently been questioned on the basis of statisti ...

NATL ACAD SCIENCES2021

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Wulfram Gerstner, Clément Hongler, Johanni Michael Brea, Francesco Spadaro, Berfin Simsek, Arthur Jacot

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

2021

Global robustness versus local vulnerabilities in complex synchronous networks

Philippe René Joseph Jacquod

In complex network-coupled dynamical systems, two questions of central importance are how to identify the most vulnerable components and how to devise a network making the overall system more robust to external perturbations. To address these two questions ...

2019

Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments

Wulfram Gerstner, Dane Sterling Corneil

Rodents navigating in a well-known environment can rapidly learn and revisit observed reward locations, often after a single trial. While the mechanism for rapid path planning is unknown, the CA3 region in the hippocampus plays an important role, and emerg ...

Massachusetts Institute of Technology Press2015

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Rachid Guerraoui, Anne-Marie Kermarrec

The rapidly increasing amount of user-generated content in social tagging systems provides a huge source of information. Yet, performing effective search in these systems is very challenging, especially when we seek the most appropriate items that match a ...

Assoc Computing Machinery2014

Privacy and Dynamics of Social Networks

Pedram Pedarsani

Over the past decade, investigations in different fields have focused on studying and understanding real networks, ranging from biological to social to technological. These networks, called complex networks, exhibit common topological features, such as a h ...

EPFL2013

Feedback Perimeter Control for Multi-region Large-scale Congested Networks

Nikolaos Geroliminis

It was recently observed from empirical traffic data that by aggregating the highly scattered plots of flow versus density from individual loop detectors for city regions with homogeneous spatial distribution of congestion, the scatter significantly decrea ...

Ieee2013

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

Privacy and Dynamics of Social Networks (PhD Thesis: pre-print)

Pedram Pedarsani

Over the past decade, investigations in different fields have focused on studying and understanding real networks, ranging from biological to social to technological. These networks, called complex networks, exhibit common topological features, such as a h ...

2012

Signaling and Reciprocity

Wojciech Galuba

Complex networks exist for a number of purposes. The neural, metabolic and food networks ensure our survival, while the social, economic, transportation and communication networks allow us to prosper. Independently of the purposes and particularities of th ...

EPFL2011

Multilayer description of large scale communication networks

Graph Chatbot

Chat with Graph Search

True scale-free networks hidden by finite size effects

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Global robustness versus local vulnerabilities in complex synchronous networks

Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Privacy and Dynamics of Social Networks

Feedback Perimeter Control for Multi-region Large-scale Congested Networks

Locating the Source of Diffusion in Large-Scale Networks

Privacy and Dynamics of Social Networks (PhD Thesis: pre-print)

Signaling and Reciprocity

True scale-free networks hidden by finite size effects

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Privacy and Dynamics of Social Networks

Global robustness versus local vulnerabilities in complex synchronous networks

Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments

Locating the Source of Diffusion in Large-Scale Networks

Signaling and Reciprocity

Privacy and Dynamics of Social Networks (PhD Thesis: pre-print)

Feedback Perimeter Control for Multi-region Large-scale Congested Networks