title: Algorithm of Hierarchical Matrix Clusterization and Its Applications
metadata.name: dc.contributor.author
metadata.value: Lezhnina, Elena A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kalinina, Elizaveta
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-05-05T15:52:02Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-05-05T15:52:02Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Lezhnina, E. A., & Kalinina, E. (2022). Algorithm of Hierarchical Matrix Clusterization and Its Applications. Contributions to Game Theory and Management, 15, 178-188.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu31.2022.13
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/41430
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: In this article, the problem of hierarchial matrix clusterization is
  discussed. For this, the influence of individuals on the community was used.
  The problem of dividing the community into groups of related participants
  has been solved, an appropriate algorithm for finding the most influential
  community agents has been proposed. Clustering was carried out using an
  algorithm for reducing the adjacency matrix of a directed graph with nodes
  representing members of a social network and edges representing relationships
  between them. The applications to the problems of working groups,
  advertising in social networks and complex technical systems are considered.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Contributions to Game Theory and Management;Volume 15
metadata.lang: -
metadata.name: dc.subject
metadata.value: hierarchial matrix clusterization
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: influence of agents
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: working groups
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: advertising in social networks
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Algorithm of Hierarchical Matrix Clusterization and Its Applications
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 13.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/41430/1/13.pdf
resources.format: Adobe PDF
resources.size: 1,03 MB