42913

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Structures and Cluster Technologies of Data Analysis and Information Management in Social Networks

ISBN/ISSN: 

978-3-319-65550-5

DOI: 

10.1007/978-3-319-65551-2

Наименование конференции: 

  • 2nd Conference "Creativity in Intelligent Technologies and Data Science" (CIT&DS 2017)

Наименование источника: 

  • Proceedings of the 2nd Conference "Creativity in Intelligent Technologies and Data Science" (CIT&DS 2017, Volgograd)

Город: 

  • Волгоград

Издательство: 

  • Springer International Publishing AG

Год издания: 

2017

Страницы: 

683-696
Аннотация
One of the important types of intellectual management in social engineering is information management. In the paper, information management structures and technologies in social networks are characterized. The tasks of analysis and optimal synthesis of information management structures in social networks have been set. Methods for solving these tasks are proposed, in particular, the coordination of interests and the determination of the number of centers and boundaries of information management structures. A model for coordinating the boundaries of different types of information management clusters in social networks is considered. Algorithms for analyzing data on the social network and determining the boundaries of information management clusters are developed

Библиографическая ссылка: 

Еналеев А.К., Цыганов В.В. Structures and Cluster Technologies of Data Analysis and Information Management in Social Networks / Proceedings of the 2nd Conference "Creativity in Intelligent Technologies and Data Science" (CIT&DS 2017, Volgograd). Волгоград: Springer International Publishing AG, 2017. С. 683-696.