activity
20042008
most citedMaximum likelihood: extracting unbiased information from complex networks

195 citations · 514 across the 4 of their papers we have counts for

collaborators

9 papers

physics.soc-ph2008146 cited

Generalized Bose-Fermi statistics and structural correlations in weighted networks

Diego Garlaschelli, Maria I. Loffredo

We derive a class of generalized statistics, unifying the Bose and Fermi ones, that describe any system where the first-occupation energies or probabilities are different from subs…

q-fin.GN200740 cited

Effects of network topology on wealth distributions

Diego Garlaschelli, Maria I. Loffredo

We focus on the problem of how wealth is distributed among the units of a networked economic system. We first review the empirical results documenting that in many economies the we…

physics.soc-ph2007133 cited

Interplay between topology and dynamics in the World Trade Web

D. Garlaschelli, T. Di Matteo, T. Aste +2

We present an empirical analysis of the network formed by the trade relationships between all world countries, or World Trade Web (WTW). Each (directed) link is weighted by the amo…

cond-mat.dis-nn2006195 cited

Maximum likelihood: extracting unbiased information from complex networks

Diego Garlaschelli, Maria I. Loffredo

The choice of free parameters in network models is subjective, since it depends on what topological properties are being monitored. However, we show that the Maximum Likelihood (ML…

cond-mat.dis-nn2005

Multi-species grandcanonical models for networks with reciprocity

Diego Garlaschelli, Maria I. Loffredo

Reciprocity is a second-order correlation that has been recently detected in all real directed networks and shown to have a crucial effect on the dynamical processes taking place o…

physics.soc-ph2005

Structure and Evolution of the World Trade Network

D. Garlaschelli, M. I. Loffredo

The \emph{World Trade Web} (WTW), the network defined by the international import/export trade relationships, has been recently shown to display some important topological properti…