title: Cooperative game theory methods for text ranking
metadata.name: dc.contributor.author
metadata.value: Mazalov, Vladimir V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Khitraya, Vitalia A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Khitryi, Andrei V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2022-06-23T13:20:46Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2022-06-23T13:20:46Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Mazalov V. V., Khitraya V. A., Khitryi A. V. Cooperative game theory methods for text ranking. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2022, vol. 18, iss. 1, pp. 63–78.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu10.2022.105
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/36932
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: A method of ranking the corpus of texts of a news portal, based on measures of graph centrality,
  is proposed. Each text is assigned a vertex of a certain graph, and its structure is
  determined based on the semantic connectivity of the texts. As a measure of centrality, the
  Myerson value is used in a cooperative game on a graph, where the number of simple paths
  in a subgraph of a certain length m is chosen as a characteristic function For different values
  of m, the ranking based on the Myerson value will be different. For the final ranking, it is
  proposed to use the ranking procedure based on the tournament matrix. The operation of
  the ranking algorithm is illustrated by numerical examples related to a specific news porta.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
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: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 18; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: text corpus of news
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: graph
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: centrality measure
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: centrality measure
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Myerson value
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: tournament matrix
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: ranking procedure
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Cooperative game theory methods for text ranking
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 63-78.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/36932/1/63-78.pdf
resources.format: Adobe PDF
resources.size: 608,14 kB