Fermions play an essential role in many areas of quantum physics and it is desirable to understand the nature of entanglement within systems that con…

We report on a data-driven investigation aimed at understanding the dynamics of message spreading in a real-world dynamical network of human proximit…

Motivation: Similarity-measure based clustering is a crucial problem appearing throughout scientific data analysis. Recently, a powerful new algorith…

Percolation is perhaps the simplest example of a process exhibiting a phase transition and one of the most studied phenomena in statistical physics. …

The ever increasing adoption of mobile technologies and ubiquitous services allows to sense human behavior at unprecedented levels of details and sca…

Statistical physics has proven to be a very fruitful framework to describe phenomena outside the realm of traditional physics. The last years have wi…

We investigate the entanglement entropy of a block of L sites in quasifree translation-invariant spin chains concentrating on the effect of reflectio…

Infectious disease outbreaks recapitulate biology: they emerge from the multi-level interaction of hosts, pathogens, and their shared environment. As…

Determining community structure is a central topic in the study of complex networks, be it technological, social, biological or chemical, in static o…

Real estate appraisal is a complex and important task, that can be made more precise and faster with the help of automated valuation tools. Usually t…

The ability to learn new tasks and generalize performance to others is one of the most remarkable characteristics of the human brain and of recent AI…

In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n >> k …

Micro-blogging systems such as Twitter expose digital traces of social discourse with an unprecedented degree of resolution of individual behaviors. …

In the last decade drug overdose deaths reached staggering proportions in the US. Besides the raw yearly deaths count that is worrisome per se, an al…

We develop a scheme to distill entanglement from bipartite Fermionic systems in an arbitrary quasifree state. It can be applied if either one system …

We propose a protocol optimization technique that is applicable to both weighted or unweighted graphs. Our aim is to explore by how much a small vari…

The modern science of networks has brought significant advances to our understanding of complex systems. One of the most relevant features of graphs …

The statistical mechanical approach to complex networks is the dominant paradigm in describing natural and societal complex systems. The study of net…

Community definitions usually focus on edges, inside and between the communities. However, the high density of edges within a community determines co…

Doubled topological phases introduced by Kitaev, Levin and Wen supported on two dimensional lattices are Hamiltonian versions of three dimensional to…

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