title: Methodology for disseminating information channels analysis in social networks
metadata.name: dc.contributor.author
metadata.value: Pronoza, Anton A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Vitkova, Lidia A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Chechulin, Andrey A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kotenko, Igor V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Sakharov, Dmitry V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2019-01-16T16:03:18Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2019-01-16T16:03:18Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2018-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Pronoza A. A., Vitkova L. A., Chechulin A. A., Kotenko I. V., Sakharov D. V. Methodology for disseminating information channels analysis in social networks. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2018, vol. 14, iss. 4, pp. 362–377.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11702/spbu10.2018.409
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/15249
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The aim of the investigation was to develop a methodology for disseminating information
  channels analysis in social networks. The proposed methodology is based on the three steps.
  The first one is the formation of a knowledge base with information about the relationships
  between users and groups. The second one is the interactive mapping of information
  dissemination paths, and the third one is related to the visual analysis of the results obtained
  in previous steps. The interconnections of users and groups in the social network allow one
  to form the connectivity graphs, and the facts of information transfer through these channels
  make it possible to identify the ways of content distribution. The results of experiments that
  confirm the applicability of the proposed methodology are also presented in the paper.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The work is at partial supported by Russian Found of Fundamental Research (project N 18-71-10094 mol-a).
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 14; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: social network
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: visualization
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: protection against information
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: inappropriate information
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: connection graph
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: visual analytics
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Methodology for disseminating information channels analysis in social networks
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 09-Pronoza.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/15249/1/09-Pronoza.pdf
resources.format: Adobe PDF
resources.size: 421,55 kB