output
20022026
most citedFast unfolding of communities in large networks

21.7k citations

Showing 2007 · cond-mat.stat-mechShow all

24 papers · 2 filters

cond-mat.stat-mech2007★ 28 cited

Tilings of space and superhomogeneous point processes

Andrea Gabrielli, Michael Joyce, Salvatore Torquato

We consider the construction of point processes from tilings, with equal volume tiles, of d-dimensional Euclidean space. We show that one can generate, with simple algorithms ascri…

cond-mat.stat-mech2007★ 25 cited

Group testing with Random Pools: Phase Transitions and Optimal Strategy

M. Mézard, M. Tarzia, C. Toninelli

The problem of Group Testing is to identify defective items out of a set of objects by means of pool queries of the form "Does the pool contain at least a defective?". The aim is o…

cond-mat.stat-mech2007★ 33 cited

Comment on "Localization Transition of Biased Random Walks on Random Networks"

O. Benichou, R. Voituriez

Sood and Grassberger studied in [Phys. Rev. Lett. 99, 098701 (2007)] random walks on random graphs that are biased towards a fixed target point. They put forward a critical bias st…

cond-mat.stat-mech2007★ 631 cited

First-passage times in complex scale-invariant media

S. Condamin, O. Benichou, V. Tejedor +2

How long does it take a random walker to reach a given target point? This quantity, known as a first passage time (FPT), has led to a growing number of theoretical investigations o…

cond-mat.stat-mech2007★ 6 cited

Two-point correlation properties of stochastic "cloud processes''

Andrea Gabrielli, Michael Joyce

We study how the two-point density correlation properties of a point particle distribution are modified when each particle is divided, by a stochastic process, into an equal number…

cond-mat.stat-mech2007★ 5 cited

Statistical Physics of Group Testing

Marc Mezard, Marco Tarzia, Cristina Toninelli

This paper provides a short introduction to the group testing problem, and reviews various aspects of its statistical physics formulation. Two main issues are discussed: the optima…