SOCIAL NETWORK COMPETITION: ENTREPRENEURSHIP ASPECT

The article highlights the results of the online social networks monitoring, shows the sources of their monetization; demonstrates a set of analytical models of competitive interaction of social network users and the developed multi-agent model; it considers entrepreneurship aspect; and offers the method of forecasting the economic time series, considering the network effects of information economy. The approbation of a model on statistics of social network users (for example, Facebook, Twitter, and MySpace) showed that a basic model in a short-term period gives a good description of actual data dynamics, the main assumptions regarding the correlation of parameters are also implemented. An important conclusion is that small social networks, such as Twitter, which provide users with interesting services, can take their market niche, despite the presence of more powerful competitors in the market. Nevertheless, over time, continuous dynamic systems are characterized by a drift of parameters. That is why a system with stable coefficients cannot provide a correct description of a long-term perspective