"Ramon y Cajal" Researcher
BioCenit Research Lab
Departament d’Enginyeria Quimica
Universitat Rovira i Virgili
PhD Fellowship in Complex Systems
More info can be found here.
Recent publications
Evolution of optimal Lévy-flight strategies in human mental searches
F. Radicchi and A. Baronchelli
arXiv:1204.2485 (2012) [pdf]
A reverse engineering approach to the suppression of citation biases reveals universal properties of citation distributions
F. Radicchi and C. Castellano
PloS ONE 7, e33833 (2012) [pdf]
Supporting Information files: S1, S2, S3, S4, S5, S6, S7, S8 and S9.
Universality, limits and predictability of winners' performances at the Olympic Games
F. Radicchi
arXiv:1203.3058 (2012) [pdf]
The data analyzed in this paper can be downloaded here.
Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts
F. Radicchi and C. Castellano
J. Informetr. 6, 121-130 (2012) [pdf]
Rationality, irrationality and escalating behavior in lowest unique bid auctions
F. Radicchi, A. Baronchelli and L. A. N. Amaral
PloS ONE 7, e29910 (2012) [pdf]
The data analyzed in this paper can be downloaded here.
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Who is the best player ever? A complex network analysis of the history of professional tennis
F. Radicchi
PloS ONE 6, e17249 (2011) [pdf]
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...and many others.
Explosive percolation in graphs
S. Fortunato and F. Radicchi
Contribution to the Proceedings of STATPHYS-Kolkata VII, November 26-30, 2010
J. Phys.: Conf. Ser. 297, 012009 (2011) [pdf]
Rescaling citations of publications in Physics
F. Radicchi and C. Castellano
Phys. Rev. E 83, 046116 (2011) [pdf]
The tables summarizing the results of our analysis can be downloaded here.
Finding statistically significant communities in networks
A. Lancichinetti, F. Radicchi, J.J. Ramasco and S.Fortunato
PloS ONE 6, e18961 (2011) [pdf]
The software implementing OSLOM can be found here.
Information filtering in complex weighted networks
F. Radicchi, J.J. Ramasco and S. Fortunato
Phys. Rev. E 83, 046101 (2011) [pdf]
The software implementing the GloSS filter can be found here.