Filtering information in a connected network

Andrea Capocci, František Slanina and Yi-Cheng Zhang

Physica A: Statistical Mechanics and its Applications, 2003, vol. 317, issue 1, 259-269

Abstract: We introduce a new kind of Information Theory. From a finite number of local, noisy comparisons, we want to design a robust filter such that the outcome is a high ranking number. Both analytical and numerical results are encouraging and we believe our toy model has wide ranging implications in the future Internet-based information selection mechanism.

Keywords: Information theory; Internet; Stochastic processes (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:317:y:2003:i:1:p:259-269

DOI: 10.1016/S0378-4371(02)01337-7

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