The influence of user errors on semantic net quality dynamics

The article is devoted to the description and rationale of the approach to the modeling of errors of independent users in forming of a semantic net which is the basis for the distributed technology of concrete historical investigation support and to the quantitative assessment of degree of influence of these errors over the net structure. The proposed approach is to expand the semantic net model which is based on the concepts of graphodynamics and the Barabasi–Albert model by including of the new mechanism of parallel fixation of mistaken and appropriate nonmistaken (ideal) user actions and also the mechanism of imitation of search queries which perform parallely in distorted and nondistorted subnets. Within this approach, the classification of errors affecting the net structure was made and the integral index of semantic net quality was also developed. The experimental studies of user errors impact on semantic net quality dynamics have been undertaken using this model.