2004 |
Castellano, Claudio; Federico cecconi,; Loreto, Vittorio; Parisi, Domenico; Radicchi, Filippo Self-contained algorithms to detect communities in networks (Journal Article) THE EUROPEAN PHYSICAL JOURNAL. B, CONDENSED MATTER PHYSICS, 38 , pp. 311–319, 2004. (Links | BibTeX | Tags: complex_networks, loreto, social_dynamics) @article{b,
title = {Self-contained algorithms to detect communities in networks},
author = {Claudio Castellano and Federico cecconi, and Vittorio Loreto and Domenico Parisi and Filippo Radicchi},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-2942534881&partnerID=65&md5=95c1d25779e19f22e6eacd483a47ec2b, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000221447300024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a},
year = {2004},
date = {2004-01-01},
journal = {THE EUROPEAN PHYSICAL JOURNAL. B, CONDENSED MATTER PHYSICS},
volume = {38},
pages = {311--319},
publisher = {EDP Sciences, Springer Verlag Germany},
keywords = {complex_networks, loreto, social_dynamics},
pubstate = {published},
tppubtype = {article}
}
|
2003 |
Puglisi, Andrea; Benedetto, Dario; Caglioti, Emanuele; Loreto, Vittorio; Vulpiani, Angelo Data Compression and Learning in time sequences analysis (Journal Article) PHYSICA D-NONLINEAR PHENOMENA, 180/1-2 , pp. 92–107, 2003. (Links | BibTeX | Tags: complexity, data_compression, information_theory, loreto, zippers) @article{b,
title = {Data Compression and Learning in time sequences analysis},
author = {Andrea Puglisi and Dario Benedetto and Emanuele Caglioti and Vittorio Loreto and Angelo Vulpiani},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0038284954&partnerID=65&md5=52d923821bee5f92d9c470f8d4aee0fe
http://samarcanda.phys.uniroma1.it/vittorioloreto/PAPERS/2003/Puglisi_PhysicaD_2003.pdf},
year = {2003},
date = {2003-01-01},
journal = {PHYSICA D-NONLINEAR PHENOMENA},
volume = {180/1-2},
pages = {92--107},
keywords = {complexity, data_compression, information_theory, loreto, zippers},
pubstate = {published},
tppubtype = {article}
}
|
Benedetto, Dario; Caglioti, Emanuele; Loreto, Vittorio Zipping out relevant information (Journal Article) COMPUTING IN SCIENCE & ENGINEERING, 5 (1) , pp. 80–85, 2003. (Links | BibTeX | Tags: complexity, data_compression, information_theory, loreto, zippers) @article{b,
title = {Zipping out relevant information},
author = {Dario Benedetto and Emanuele Caglioti and Vittorio Loreto},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0037235373&partnerID=65&md5=953371f02864768a9eb99b9b5cea5987, http://samarcanda.phys.uniroma1.it/vittorioloreto/PAPERS/2003/Benedetto_IEEE_CSE_2003.pdf},
year = {2003},
date = {2003-01-01},
journal = {COMPUTING IN SCIENCE & ENGINEERING},
volume = {5 (1)},
pages = {80--85},
keywords = {complexity, data_compression, information_theory, loreto, zippers},
pubstate = {published},
tppubtype = {article}
}
|
Falcon, Massimo; Loreto, Vittorio; Vulpiani, Angelo Entropie, Chaos et Complexite (Incollection) A.VULPIANI, R.LIVI ET (Ed.): L'heritage de Kolmogorov en physique, pp. 96–119, Belin, PARIS, 2003. (BibTeX | Tags: complexity, loreto, statistical_physics) @incollection{b,
title = {Entropie, Chaos et Complexite},
author = {Massimo Falcon and Vittorio Loreto and Angelo Vulpiani},
editor = {R.LIVI ET A.VULPIANI},
year = {2003},
date = {2003-01-01},
booktitle = {L'heritage de Kolmogorov en physique},
pages = {96--119},
publisher = {Belin},
address = {PARIS},
keywords = {complexity, loreto, statistical_physics},
pubstate = {published},
tppubtype = {incollection}
}
|
Falcon, Massimo; Loreto, Vittorio; Vulpiani, Angelo Kolmogorov's Legacy about Entropy, Chaos and Complexity (Incollection) VULPIANI, LIVI; (Ed.): The Kolmogorov Legacy in Physics, LPN 636 , pp. 85–108, Springer-Verlag, BERLIN, 2003. (BibTeX | Tags: complexity, loreto, statistical_physics) @incollection{b,
title = {Kolmogorov's Legacy about Entropy, Chaos and Complexity},
author = {Massimo Falcon and Vittorio Loreto and Angelo Vulpiani},
editor = {R. LIVI; A. VULPIANI},
year = {2003},
date = {2003-01-01},
booktitle = {The Kolmogorov Legacy in Physics},
volume = {LPN 636},
pages = {85--108},
publisher = {Springer-Verlag},
address = {BERLIN},
keywords = {complexity, loreto, statistical_physics},
pubstate = {published},
tppubtype = {incollection}
}
|
Bendetto, Dario; Caglioti, Emanuele; Loreto, Vittorio Reply to the comment on (Journal Article) PHYSICAL REVIEW LETTERS, 90 , pp. 089803–089804, 2003. (Links | BibTeX | Tags: complexity, information_theory, loreto, zippers) @article{b,
title = {Reply to the comment on },
author = {Dario Bendetto and Emanuele Caglioti and Vittorio Loreto},
url = {http://samarcanda.phys.uniroma1.it/vittorioloreto/PAPERS/2003/Benedetto_PhysRevLett_2003.pdf
},
year = {2003},
date = {2003-01-01},
journal = {PHYSICAL REVIEW LETTERS},
volume = {90},
pages = {089803--089804},
publisher = {American Institute of Physics:2 Huntington Quadrangle, Suite 1NO1:Melville, NY 11747:(800)344-6902, (631)576-2287, EMAIL: subs@aip.org, INTERNET: http://www.aip.org, Fax: (516)349-9704},
keywords = {complexity, information_theory, loreto, zippers},
pubstate = {published},
tppubtype = {article}
}
|
Puglisi, Andrea; Loreto, Vittorio Data compression approach to sequence analysis (Inproceeding) 7th Granada Lectures, pp. 184–187, 2003. (BibTeX | Tags: complexity, information_theory, loreto, zippers) @inproceedings{b,
title = {Data compression approach to sequence analysis},
author = {Andrea Puglisi and Vittorio Loreto},
year = {2003},
date = {2003-01-01},
booktitle = {7th Granada Lectures},
volume = {661},
pages = {184--187},
keywords = {complexity, information_theory, loreto, zippers},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2002 |
Benedetto, Dario; Caglioti, Emanuele; Vittorio Loreto, Language trees and zipping (Journal Article) Physical Review Letters, 88 , pp. 048702, 2002. (Abstract | Links | BibTeX | Tags: complexity, data_compression, information_theory, loreto, zippers) @article{bcl2002,
title = {Language trees and zipping},
author = {Dario Benedetto and Emanuele Caglioti and Vittorio Loreto,},
url = {http://samarcanda.phys.uniroma1.it/vittorioloreto/PAPERS/2002/Benedetto_PhysRevLett_2002.pdf},
year = {2002},
date = {2002-01-01},
journal = {Physical Review Letters},
volume = {88},
pages = {048702},
abstract = {In this Letter we present a very general method for extracting information from a generic string of
characters, e.g., a text, a DNA sequence, or a time series. Based on data-compression techniques, its
key point is the computation of a suitable measure of the remoteness of two bodies of knowledge. We
present the implementation of the method to linguistic motivated problems, featuring highly accurate
results for language recognition, authorship attribution, and language classification.},
keywords = {complexity, data_compression, information_theory, loreto, zippers},
pubstate = {published},
tppubtype = {article}
}
In this Letter we present a very general method for extracting information from a generic string of
characters, e.g., a text, a DNA sequence, or a time series. Based on data-compression techniques, its
key point is the computation of a suitable measure of the remoteness of two bodies of knowledge. We
present the implementation of the method to linguistic motivated problems, featuring highly accurate
results for language recognition, authorship attribution, and language classification. |
1998 |
Loreto, Vittorio; Serva, Maurizio; Vulpiani, Angelo On the concept of complexity of random dynamical systems (Journal Article) INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 12 (3) , pp. 225–243, 1998. (Abstract | Links | BibTeX | Tags: complexity, dynamical_systems, loreto) @article{b,
title = {On the concept of complexity of random dynamical systems},
author = {Vittorio Loreto and Maurizio Serva and Angelo Vulpiani},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.1146},
year = {1998},
date = {1998-01-01},
journal = {INTERNATIONAL JOURNAL OF MODERN PHYSICS B},
volume = {12 (3)},
pages = {225--243},
publisher = {WORLD SCIENTIFIC, SINGAPORE},
address = {Singapore},
abstract = {We show how to introduce a characterization the "complexity" of random dynamical systems. More precisely we propose a suitable indicator of complexity in terms of the average number of bits per time unit necessary to specify the sequence generated by these systems. This indicator of complexity, which can be extracted from real experimental data, turns out to be very natural in the context of information theory. For dynamical systems with random perturbations, it coincides with the rate K of divergence of nearby trajectories evolving under two different noise realizations. In presence of strong dynamical intermittency, the value of K is very different from the standard Lyapunov exponent chi(sigma) computed through the consideration of two nearby trajectories evolving under the same realization of the random perturbation. However, the former is much more relevant than the latter from a physical point of view as illustrated by some numerical examples of noisy and random maps.},
keywords = {complexity, dynamical_systems, loreto},
pubstate = {published},
tppubtype = {article}
}
We show how to introduce a characterization the "complexity" of random dynamical systems. More precisely we propose a suitable indicator of complexity in terms of the average number of bits per time unit necessary to specify the sequence generated by these systems. This indicator of complexity, which can be extracted from real experimental data, turns out to be very natural in the context of information theory. For dynamical systems with random perturbations, it coincides with the rate K of divergence of nearby trajectories evolving under two different noise realizations. In presence of strong dynamical intermittency, the value of K is very different from the standard Lyapunov exponent chi(sigma) computed through the consideration of two nearby trajectories evolving under the same realization of the random perturbation. However, the former is much more relevant than the latter from a physical point of view as illustrated by some numerical examples of noisy and random maps. |
1996 |
Loreto, Vittorio; Paladin, Giovanni; Pasquini, Michele; Vulpiani, Angelo Characterization of chaos in random maps (Journal Article) PHYSICA. A, 232 , pp. 189–200, 1996. (Abstract | Links | BibTeX | Tags: complexity, dynamical_systems, loreto) @article{b,
title = {Characterization of chaos in random maps},
author = {Vittorio Loreto and Giovanni Paladin and Michele Pasquini and Angelo Vulpiani},
url = {http://www.sciencedirect.com/science/article/pii/0378437196000878
http://samarcanda.phys.uniroma1.it/vittorioloreto/PAPERS/1996/Loreto_PhysicaA_1996.pdf},
year = {1996},
date = {1996-01-01},
journal = {PHYSICA. A},
volume = {232},
pages = {189--200},
publisher = {ELSEVIER SCIENCE, AMSTERDAM},
abstract = {We discuss the characterization of chaotic behaviors in random maps both in terms of the Lyapunov exponent and of the spectral properties of the Perron-Frobenius operator. In particular, we study a logistic map where the control parameter is extracted at random at each time step by considering finite-dimensional approximation of the Perron-Frobenius operator.},
keywords = {complexity, dynamical_systems, loreto},
pubstate = {published},
tppubtype = {article}
}
We discuss the characterization of chaotic behaviors in random maps both in terms of the Lyapunov exponent and of the spectral properties of the Perron-Frobenius operator. In particular, we study a logistic map where the control parameter is extracted at random at each time step by considering finite-dimensional approximation of the Perron-Frobenius operator. |
Loreto, Vittorio; Paladin, Giovanni; Vulpiani, Angelo Concept of complexity in random dynamical systems (Journal Article) PHYSICAL REVIEW E, 53 , pp. 2087–2098, 1996. (Abstract | Links | BibTeX | Tags: complexity, dynamical_systems, loreto, statistical_physics) @article{b,
title = {Concept of complexity in random dynamical systems},
author = {Vittorio Loreto and Giovanni Paladin and Angelo Vulpiani},
url = {http://pre.aps.org/abstract/PRE/v53/i3/p2087_1
http://samarcanda.phys.uniroma1.it/vittorioloreto/PAPERS/1996/Loreto_PhysRevE_1996.pdf},
year = {1996},
date = {1996-01-01},
journal = {PHYSICAL REVIEW E},
volume = {53},
pages = {2087--2098},
publisher = {AMERICAN PHYSICAL SOC},
abstract = {We introduce a measure of complexity in terms of the average number of bits per time unit necessary to specify the sequence generated by the system. In dynamical systems with small random perturbations, this indicator coincides with the rate K of divergence of nearby trajectories evolving under two different noise realizations. The meaning of K is discussed in the context of the information theory, and it is shown that it can be determined from real experimental data. In the presence of strong dynamical intermittency, the value of K is very different from the standard Lyapunov exponent lambda(sigma) computed considering two nearby trajectories evolving under the same realization of the randomness. However, the former is much more relevant than the latter from a physical point of view, as illustrated by some numerical computations for noisy maps and sandpile models.},
keywords = {complexity, dynamical_systems, loreto, statistical_physics},
pubstate = {published},
tppubtype = {article}
}
We introduce a measure of complexity in terms of the average number of bits per time unit necessary to specify the sequence generated by the system. In dynamical systems with small random perturbations, this indicator coincides with the rate K of divergence of nearby trajectories evolving under two different noise realizations. The meaning of K is discussed in the context of the information theory, and it is shown that it can be determined from real experimental data. In the presence of strong dynamical intermittency, the value of K is very different from the standard Lyapunov exponent lambda(sigma) computed considering two nearby trajectories evolving under the same realization of the randomness. However, the former is much more relevant than the latter from a physical point of view, as illustrated by some numerical computations for noisy maps and sandpile models. |
