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http://hdl.handle.net/11701/14824
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Mazalov, Vladimir V. | - |
dc.contributor.author | Nikitina, Natalia N. | - |
dc.date.accessioned | 2018-09-14T10:59:10Z | - |
dc.date.available | 2018-09-14T10:59:10Z | - |
dc.date.issued | 2018-09 | - |
dc.identifier.citation | Mazalov V. V., Nikitina N. N. The maximum likelihood method for detecting communities in communication networks. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2018, vol. 14, iss. 3, pp. 200–214. | en_GB |
dc.identifier.other | 10.21638/11702/spbu10.2018.302 | - |
dc.identifier.uri | http://hdl.handle.net/11701/14824 | - |
dc.description.abstract | The community detection in social and communication networks is an important problem in many applied fields: biology, sociology, social networks. This is especially true for networks that are represented by large graphs. In this paper, we propose a method for community detection based on the maximum likelihood method for the random formation of a network with given parameters of the tightness of connections within the community and between different communities. A numerical algorithm for finding the maximum of the objective function over all possible network partitions is described. The algorithm is implemented and tested on real networks of small dimension. | en_GB |
dc.description.sponsorship | Работа выполнена при финансовой поддержке Российского научного фонда (проект №17-11-01079). | en_GB |
dc.language.iso | ru | en_GB |
dc.publisher | St Petersburg State University | en_GB |
dc.relation.ispartofseries | Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 14; Issue 3 | - |
dc.subject | network communities | en_GB |
dc.subject | detecting communities in a network | en_GB |
dc.subject | maximum likelihood method | en_GB |
dc.subject | Gibbs sampling | en_GB |
dc.title | The maximum likelihood method for detecting communities in communication networks | en_GB |
dc.type | Article | en_GB |
Располагается в коллекциях: | Issue 3 |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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02-Mazalov.pdf | 579,59 kB | Adobe PDF | Просмотреть/Открыть |
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