  This paper deals with actual fuzzy logic approach for modelling the behavior
classification of social news aggregations users. The peculiarities of the
structure of informational content of communities on the basis of social news
aggregations are explored. A formal model of social news aggregation model has
been developed, which includes user of the social news aggregation on the basis
of fuzzy measures of its characteristics. The method of behavioral
classification of users and methods for structuring sections and discussions of
social news aggregations are developed. The methods for determining the main
characteristics of the users of the social news aggregation: activeness,
creativeness, attractiveness, reactiveness, loyalty, is developed. Method for
defining characteristics and classification of social news aggregations users
is presented.
