I propose a description of a social network with indirect binding. This allows you to exclude completely the preferred choice of nodes from the rules. A model built on this basis generates a sparse network with a power-law distribution of nodes degree. The formulas for the distribution index obtained from the mean-field quasi-linear approximation satisfied with good accuracy. Their empirical characteristics are determined from the simulation results. However, this approximation doesn’t agree with the value of the distribution shift. That limits the applicability of the proposed approach.
Keywords:
social networks, scale invariance, power law distributions, finite-size scaling, competitive growth, preferential accession, mediated binding
Publication language:russian, pages:8
Research direction:
Mathematical modelling in actual problems of science and technics
