Name
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. |
Year | Venue | Field |
|---|---|---|
2019 | COAPSN | Data science,Computer science |
DocType | ISSN | Citations |
Conference | CEUR Workshop Proceedings. Vol 2392: Proceedings of the 1st
International Workshop on Control, Optimisation and Analytical Processing of
Social Networks, COAPSN-2019, 2019 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Solomia Fedushko | 1 | 9 | 7.26 |
| Olha Trach | 2 | 0 | 1.69 |
| Zoryana Kunch | 3 | 0 | 0.68 |
| Yaryna Turchyn | 4 | 0 | 0.68 |
| Ulyana Yarka | 5 | 0 | 0.34 |