An approach to modeling the semantic net evolution

This article is devoted to the description and rationale of the approach to the modeling of semantic net which is the basis for the technology of concrete historical investigation support. This technology is supported by the interaction of many independent researchers. This fact can potentially cause the degradation of the collected information quality. The described model is used to check the quality of the information which is organized as a semantic net. The proposed modeling approach is based on the concepts of graphodynamics, which allows building a graph on the basis of strictly defined empiric rules, and the Barabasi–Albert model (algorithm for generating random scale-free networks). The model adequacy was checked by comparing its parameters with the main characteristics of cognitive networks on the ground that the semantic net of the concrete historical investigation technology is, of its nature, a cognitive network. Model validation was carried out for a wide range of model's parameters values.