Filtering information in a connected network
无序系统与神经网络
2009-11-07 v1
摘要
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.
引用
@article{arxiv.cond-mat/0207362,
title = {Filtering information in a connected network},
author = {A. Capocci and F. Slanina and Y. -C. Zhang},
journal= {arXiv preprint arXiv:cond-mat/0207362},
year = {2009}
}
备注
12 pages, 3 figures. Accepted for publication on Physica A