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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

Information filtering via iterative refinement

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

In: Europhysics Letters, 2006, vol. 75, no. 6, p. 1006-1012

With the explosive growth of accessible information, expecially on the Internet, evaluation-based filtering has become a crucial task. Various systems have been devised aiming to sort through large volumes of information and select what is likely to be more relevant. In this letter we analyse a new ranking method, where the reputation of information providers is determined self-consistently.

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.