Ongoing Processes in a Fitness Network Model under Restricted Resources.

ABSTRACT: In real networks, the resources that make up the nodes and edges are finite. This constraint poses a serious problem for network modeling, namely, the compatibility between robustness and efficiency. However, these concepts are generally in conflict with each other. In this study, we propose a new fitness-driven network model for finite resources. In our model, each individual has its own fitness, which it tries to increase. The main assumption in fitness-driven networks is that incomplete estimation of fitness results in a dynamical growing network. By taking into account these internal dynamics, nodes and edges emerge as a result of exchanges between finite resources. We show that our network model exhibits exponential distributions in the in- and out-degree distributions and a power law

SUBMITTER: Niizato T 

PROVIDER: S-EPMC4436180 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature