activity
20062015
most citedBayesian inference of epidemics on networks via Belief Propagation

226 citations · 649 across the 15 of their papers we have counts for

collaborators

15 papers

cond-mat.dis-nn2015★ 14 cited

The edge-disjoint path problem on random graphs by message-passing

Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta +2

We present a message-passing algorithm to solve the edge disjoint path problem (EDP) on graphs incorporating under a unique framework both traffic optimization and path length mini…

cs.GT2014★ 4 cited

Statics and dynamics of selfish interactions in distributed service systems

F. Altarelli, A. Braunstein, L. Dall'Asta

We study a class of games which model the competition among agents to access some service provided by distributed service units and which exhibit congestion and frustration phenome…

q-bio.PE2014★ 32 cited

The zero-patient problem with noisy observations

Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta +2

A Belief Propagation approach has been recently proposed for the zero-patient problem in a SIR epidemics. The zero-patient problem consists in finding the initial source of an epid…

cs.GT2013

Stochastic Optimization of Service Provision with Selfish Users

F. Altarelli, A. Braunstein, C. F. Chiasserini +4

We develop a computationally efficient technique to solve a fairly general distributed service provision problem with selfish users and imperfect information. In particular, in a c…

physics.soc-ph2013★ 144 cited

Containing epidemic outbreaks by message-passing techniques

F. Altarelli, A. Braunstein, L. Dall'Asta +2

The problem of targeted network immunization can be defined as the one of finding a subset of nodes in a network to immunize or vaccinate in order to minimize a tradeoff between th…

q-bio.QM2013★ 226 cited

Bayesian inference of epidemics on networks via Belief Propagation

Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta +2

We study several bayesian inference problems for irreversible stochastic epidemic models on networks from a statistical physics viewpoint. We derive equations which allow to accura…