1. DSpace at Saint Petersburg State University
  2. St.PETERSBURG UNIVERSITY ACADEMIC PRESS
  3. ACADEMIC JOURNALS
  4. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes
  5. 2022
  6. Issue 1
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dc.contributor.authorMazalov, Vladimir V.-
dc.contributor.authorKhitraya, Vitalia A.-
dc.contributor.authorKhitryi, Andrei V.-
dc.date.accessioned2022-06-23T13:20:46Z-
dc.date.available2022-06-23T13:20:46Z-
dc.date.issued2022-03-
dc.identifier.citationMazalov 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.en_GB
dc.identifier.otherhttps://doi.org/10.21638/11701/spbu10.2022.105-
dc.identifier.urihttp://hdl.handle.net/11701/36932-
dc.description.abstractA 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.en_GB
dc.language.isoruen_GB
dc.publisherSt Petersburg State Universityen_GB
dc.relation.ispartofseriesVestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 18; Issue 1-
dc.subjecttext corpus of newsen_GB
dc.subjectgraphen_GB
dc.subjectcentrality measureen_GB
dc.subjectcentrality measureen_GB
dc.subjectMyerson valueen_GB
dc.subjecttournament matrixen_GB
dc.subjectranking procedureen_GB
dc.titleCooperative game theory methods for text rankingen_GB
dc.typeArticleen_GB
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