En aquest projecte estudiem i presentem el camp dels grafs de visibilitat (visibility graphs) com una forma de representar i caracteritzar sèries temporals tal com va ser introduït per Lucas Lacasa et al. el 2008. Amb els ...

The inference of an underlying network topology from local observations of a complex system composed of interacting units is usually attempted by using statistical similarity measures, such as cross-correlation (CC) and ...

A system composed by interacting dynamical elements can be represented by a network, where the nodes represent the elements that constitute the system, and the links account for their interactions, which arise due to a ...

Face-to-face interaction networks describe social interactions in human gatherings, and are the substrate for processes such as epidemic spreading and gossip propagation. The bursty nature of human behavior characterizes ...

We characterize the evolution of a dynamical system by combining two well-known complex systems' tools, namely, symbolic ordinal analysis and networks. From the ordinal representation of a time series we construct a network ...

Network Science provides a universal formalism for modelling and studying complex systems based on pairwise interactions between agents. However, many real networks in the social, biological or computer sciences involve ...

Systemic analysis of dynamics in complex networks has allured interest from different fields. Norms are a mechanism that can be useful to govern or guide the behavior of agents in such scenarios. Such effects of norms can ...

This paper introduces a labeling and optimal routing algorithm for a family of modular, self-similar, small-world graphs with clustering zero. Many properties of this family are comparable to those of networks ...