A complex system model of biological aging

Abstract

The aim of this work is to analyze the network influence in a model of aging that has been proposed recently. The model is based in the interdependency of nodes affected by damage and repair processes. While the original work was limited to analyze random graphs and Barab´asi-Albert networks, we propose a general framework based on an exponent dependent preferential attachment rule for the construction of the network, and the two cases analyzed previously correspond to particular values of the exponent. We provide a discussion on the biological plausibility of the different models, which now include a sublinear and superlinear dependence on the degrees