Filtering information in a connected network

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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Details

12 pages, 3 figures. Accepted for publication on Physica A

Scientific paper

10.1016/S0378-4371(02)01337-7

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.

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