Rosa M. Benito

TL;DR: It is shown that the proposed methodology can detect different degrees of polarization, depending on the structure of the network, and an index is proposed to quantify the extent to which the resulting distribution is polarized.

TL;DR: The user activity in the online social network Twitter is analyzed, during the 2011 Spanish Presidential electoral process, and it is found that such activity is correlated with the election results, and a network growth model is developed to reproduce the interactions taking place among politicians.

TL;DR: In this paper, the authors analyzed the user activity in the online social network Twitter during the 2011 Spanish presidential electoral process, and found that such activity is correlated with the election results.

TL;DR: In this article, the authors define efficiency on Twitter as the ratio between the emergent spreading process and the activity employed by the user, and show that some influential users efficiently cause remarkable collective reactions by each message sent, while the majority of users must employ extremely larger efforts to reach similar effects.

TL;DR: In this article, a general method to construct wave functions highly localized on a given periodic orbit, using the information contained in the short term quantum dynamics of the system, is presented, and the relationship with the Husimi's quasiprobability distribution in phase space is also discussed.