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Université de Fribourg

Decoding information from noisy, redundant, and intentionally distorted sources

Yu, Yi-Kuo ; Zhang, Yi-Cheng ; Laureti, Paolo ; Moret, Lionel

In: Physica A: Statistical and Theoretical Physics, 2006, vol. 371, no. 2, p. 732-744

Advances in information technology reduce barriers to information propagation, but at the same time they also induce the information overload problem. For the making of various decisions, mere digestion of the relevant information has become a daunting task due to the massive amount of information available. This information, such as that generated by evaluation systems developed by various web...

Université de Fribourg

Ecology of active and passive players and their impact on information selection

Bianconi, Ginestra ; Laureti, Paolo ; Yu, Yi-Kou ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2004, vol. 332, p. 519-532

Is visitors’ attendance a fair indicator of a web site's quality? Internet sub-domains are usually characterized by power-law distributions of visits, thus suggesting a rich-get-richer process. If this is the case, the number of visits is not a relevant measure of quality. If, on the other hand, there are active players, i.e., visitors who can tell the value of the information available, better...

Université de Fribourg

Selection by pairwise comparisons with limited resources

Laureti, Paolo ; Mathiesen, Joachim ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2004, vol. 338, p. 596-604

We analyze different methods of sorting and selecting a set of objects by their intrinsic value, via pairwise comparisons whose outcome is uncertain. After discussing the limits of repeated Round Robins, two new methods are presented: The ran-fil requires no previous knowledge on the set under consideration, yet displaying good performances even in the least favorable case. The min-ent method...

Université de Fribourg

Aggregating partial, local evaluations to achieve global ranking

Laureti, Paolo ; Moret, Lionel ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2005, vol. 345, no. 3-4, p. 705-712

We analyze some voting models mimicking online evaluation systems intended to reduce the information overload. The minimum number of operations needed for a system to be effective is analytically estimated. When herding effects are present, linear preferential attachment marks a transition between trustful and biased reputations.