796 citations · 5.3k across the 118 of their papers we have counts for
43 papers · 1 filter
The rise and fall of hubs in Self-Organized Critical learning networks
Anjan Roy, Serena Di Santo, Matteo Marsili
Information processing networks are the result of local rewiring rules. In many instances, such rules promote links where the activity at the two end nodes is positively correlated…
Information thermodynamics of financial markets: the Glosten-Milgrom model
Léo Touzo, Matteo Marsili, Don Zagier
The Glosten-Milgrom model describes a single asset market, where informed traders interact with a market maker, in the presence of noise traders. We derive an analogy between this…
Optimal Work Extraction and the Minimum Description Length Principle
Léo Touzo, Matteo Marsili, Neri Merhav +1
We discuss work extraction from classical information engines (e.g., Szilárd) with -particles, partitions, and initial arbitrary non-equilibrium states. In particular, we fo…
Optimal work extraction and mutual information in a generalized Szilárd engine
Juyong Song, Susanne Still, Rafael Díaz Hernández Rojas +2
A 1929 Gedankenexperiment proposed by Szilárd, often referred to as "Szilárd's engine", has served as a foundation for computing fundamental thermodynamic bounds to information pro…
On Maximum Entropy and Inference
Luigi Gresele, Matteo Marsili
Maximum Entropy is a powerful concept that entails a sharp separation between relevant and irrelevant variables. It is typically invoked in inference, once an assumption is made on…
Condensation phenomena in fat-tailed distributions: a characterization by means of an order parameter
Mario Filiasi, Elia Zarinelli, Erik Vesselli +1
Condensation phenomena are ubiquitous in nature and are found in condensed matter, disordered systems, networks, finance, etc. In the present work we investigate one of the best fr…
On the concentration of large deviations for fat tailed distributions, with application to financial data
Mario Filiasi, Giacomo Livan, Matteo Marsili +3
Large deviations for fat tailed distributions, i.e. those that decay slower than exponential, are not only relatively likely, but they also occur in a rather peculiar way where a f…
A minimal model for congestion phenomena on complex networks
Daniele De Martino, Luca Dall'Asta, Ginestra Bianconi +1
We study a minimal model of traffic flows in complex networks, simple enough to get analytical results, but with a very rich phenomenology, presenting continuous, discontinuous as…
Ising model with memory: coarsening and persistence properties
Fabio Caccioli, Silvio Franz, Matteo Marsili
We consider the coarsening properties of a kinetic Ising model with a memory field. The probability of a spin-flip depends on the persistence time of the spin in a state. The more…
Number of cliques in random scale-free network ensembles
Ginestra Bianconi, Matteo Marsili
In this paper we calculate the average number of cliques in random scale-free networks. We consider first the hidden variable ensemble and subsequently the Molloy Reed ensemble. In…
Statistical mechanics of combinatorial auctions
Tobias Galla, Michele Leone, Matteo Marsili +3
Combinatorial auctions are formulated as frustrated lattice gases on sparse random graphs, allowing the determination of the optimal revenue by methods of statistical physics. Tran…
Scale-free networks with an exponent less than two
Hamed Seyed-allaei, Ginestra Bianconi, Matteo Marsili
We study scale free simple graphs with an exponent of the degree distribution less than two. Generically one expects such extremely skewed networks -- which occur very frequent…
A statistical mechanics model for the emergence of consensus
Giacomo Raffaelli, Matteo Marsili
The statistical properties of pairwise majority voting over S alternatives is analyzed in an infinite random population. We first compute the probability that the majority is trans…
Stylized facts in minority games with memory: a new challenge
Damien Challet, Matteo Marsili, Andrea De Martino
A finite memory is introduced in the score dynamics of Minority Games. As expected, this removes the dependence of the stationary state on the initial conditions. However, it also…
Self-organized critical network dynamics
Ginestra Bianconi, Matteo Marsili
We propose a simple model that aims at describing, in a stylized manner, how local breakdowns due unbalances or congestion propagate in real dynamical networks. The model converges…
Real payoffs and virtual trading in agent based market models
F. F. Ferreira, M. Marsili
The $-Game was recently introduced as an extension of the Minority Game. In this paper we compare this model with the well know Minority Game and the Majority Game models. Due to…
Typical properties of large random economies with linear activities
A. De Martino, M. Marsili, I. Pérez Castillo
We study the competitive equilibrium of large random economies with linear activities using methods of statistical mechanics. We focus on economies with commodities, firms,…
The Rise and Fall of a Networked Society
Matteo Marsili, Fernando Vega-Redondo, Frantisek Slanina
We propose a simple model of the evolution of a social network which involves local search and volatility (random decay of links). The model captures the crucial role the network p…
Shedding light on El Farol
Damien Challet, Matteo Marsili, Gabriele Ottino
We mathematize El Farol bar problem and transform it into a workable model. In general, the average convergence to optimality at the collective level is trivial and does not even r…
Criticality and finite size effects in a simple realistic model of stock market
Damien Challet, Matteo Marsili
We discuss a simple model based on the Minority Game which reproduces the main stylized facts of anomalous fluctuations in finance. We present the analytic solution of the model in…
Dissecting financial markets: Sectors and states
Matteo Marsili
By analyzing a large data set of daily returns with data clustering technique, we identify economic sectors as clusters of assets with a similar economic dynamics. The sector size…
Algorithms of maximum likelihood data clustering with applications
Lorenzo Giada, Matteo Marsili
We address the problem of data clustering by introducing an unsupervised, parameter free approach based on maximum likelihood principle. Starting from the observation that data set…
Colored minority games
Matteo Marsili, Maurizio Piai
We study the behavior of simple models for financial markets with widely spread frequency either in the trading activity of agents or in the occurrence of basic events. The generic…
Diffusion, peer pressure and tailed distributions
Fabio Cecconi, Matteo Marsili, Jayanth R. Banavar +1
We present a general, physically motivated non-linear and non-local advection equation in which the diffusion of interacting random walkers competes with a local drift arising from…