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- W2014724175 abstract "Complex interactions call for the sharing of information between different entities. In a recent paper, we introduced a combinatoric model which concretizes this idea via a string-matching rule. The model was shown to lend itself to analysis regarding certain topological features of the network. In this paper, we will introduce a statistical physics description of this network in terms of a Potts model. We will give an explicit mean-field treatment of a special case that has been proposed as a model for gene regulatory networks, and derive closed-form expressions for the topological coefficients. Simulations of the hidden variable network are then compared with numerically integrated results." @default.
- W2014724175 created "2016-06-24" @default.
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- W2014724175 date "2007-06-01" @default.
- W2014724175 modified "2023-10-18" @default.
- W2014724175 title "Content-based networks: A pedagogical overview" @default.
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- W2014724175 doi "https://doi.org/10.1063/1.2743613" @default.
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