title: Analysis of consensus time and winning rate in two-layer networks with hypocrisy of different structures
metadata.name: dc.contributor.author
metadata.value: Zhao, Chi
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Parilina, Elena M.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-08-19T20:34:42Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-08-19T20:34:42Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Zhao Ch., Parilina E. M. Analysis of consensus time and winning rate in two-layer networks with hypocrisy of different structures. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2024, vol. 20, iss. 2, pp. 170–192. https://doi.org/10.21638/spbu10.2024.204
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu10.2024.204
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/47265
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: We have developed a microscopic version of general concealed voter model (GCVM).
  Original GCVM uses only statistical-physical methods, while our new approach starts with
  a real network. A microscopic model is suitable for any two-layer network (with internal
  and external layers) satisfying the definition given in the paper. We conduct a series of
  simulations with different network structures and found that a cyclic external structure
  prolongs consensus time in comparison with a complete external structure. Moreover, a cyclic
  external structure has a positive impact on a winning rate, and this result is different from the
  one obtained in the macroscopic version of GCVM. The possible reasons for this difference are
  discussed in the paper. Additionally, we propose and validate the hypothesis that there exists
  a strong linear relationship between a consensus time and pairwise average shortest paths d in
  the network structure.We performed a controlled variable approach to validate the impact of
  each individual parameter on key performance indicators (KPIs) including a consensus time
  and winning rate. Furthermore, we assess the influence of parameter combinations on KPIs
  by analyzing the results using the K-means algorithm. We conclude that certain parameter
  combinations can have a significant impact on the consensus time.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The work of the second author was supported by Russian Science Foundation, grant N 22-11-00051,
  https://rscf.ru/en/project/22-11-00051/
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: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 20; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: opinion dynamics
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: voter model
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: concealed voter model
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: general concealed voter model
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: winning rate
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Analysis of consensus time and winning rate in two-layer networks with hypocrisy of different structures
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: vestnik_spbu10_2024_170.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/47265/1/vestnik_spbu10_2024_170.pdf
resources.format: Adobe PDF
resources.size: 815,37 kB