How can we localize the source of diffusion in a complex network? Because of the
tremendous size of many real networks—such as the internet or the human social graph—it …

Covering a network with the minimum possible number of boxes can reveal interesting
features for the network structure, especially in terms of self-similar or fractal characteristics …

A most debated topic of the last years is whether simple statistical physics models can
explain collective features of social dynamics. A necessary step in this line of endeavor is to …

Natural evolution has generated an impressively diverse protein universe via duplication
and recombination from a set of protein fragments that served as building blocks. The …

Online social networks are constituted by a diverse set of entities including users, images
and posts which makes the task of predicting interdependencies between entities …

The self-similarity of complex networks is typically investigated through computational
algorithms, the primary task of which is to cover the structure with a minimal number of …

The minimization of Fisher's information (MFI) approach of Frieden et al.[Phys. Rev. E 60, 48
(1999)] is applied to the study of size distributions in social groups on the basis of a recently …

Here we study how a traffic jam spreads on complex networks when driven by an increasing
flux between certain initial and final points. For that purpose, we developed two new traffic …

Understanding the dynamics of research production and collaboration may reveal better
strategies for scientific careers, academic institutions, and funding agencies. Here we …

We study the free-electron gas in an Apollonian network within the tight-binding framework.
The scale-free and small-world character of the underlying lattice is known to result in a …