Krause mean processes generated by cubic stochastic matrices with positive influences

The Krause mean process serves as a comprehensive model for the dynamics of opinion exchange within multi - agent system wherein opinions are represented as vectors. In this paper, we propose a framework for opinion exchange dynamics by means of the Krause mean process that is generated by a cubic doubly stochastic matrix with positive influences. The primary objective is to establish a consensus within the multi - agent system.

Authors

Institutions

Publication Details

Journal
Ufimskii Matematicheskii Zhurnal
Published
2025-01-01
DOI
https://doi.org/10.13108/2025-17-2-135
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Krause mean processes generated by cubic stochastic matrices with positive influences

Khikmat Saburov, Murat Alp, Khajibay Saburov
Ufimskii Matematicheskii Zhurnal
Opinion Dynamics and Social Influence
article

Krause mean processes generated by cubic stochastic matrices with positive influences

Khikmat Saburov, Murat Alp, Khajibay Saburov
article en

Abstract

The Krause mean process serves as a comprehensive model for the dynamics of opinion exchange within multi - agent system wherein opinions are represented as vectors. In this paper, we propose a framework for opinion exchange dynamics by means of the Krause mean process that is generated by a cubic doubly stochastic matrix with positive influences. The primary objective is to establish a consensus within the multi - agent system.

Ufimskii Matematicheskii ZhurnalVol. 17(2)
American University of the Middle East (KW), Westminster International University in Tashkent (UZ)
Openalex Percentile: Top 88%
Opinion Dynamics and Social Influence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.