Modelling the Behavior Classification of Social News Aggregations Users
Abstract
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.
Cite
@article{arxiv.1909.01677,
title = {Modelling the Behavior Classification of Social News Aggregations Users},
author = {Solomia Fedushko and Olha Trach and Zoryana Kunch and Yaryna Turchyn and Ulyana Yarka},
journal= {arXiv preprint arXiv:1909.01677},
year = {2019}
}
Comments
15 pages, 2 figures