Game-theoretic approach to modeling researchers’ mobility

The article considers game-theoretic modeling of researchers’ mobility between cities of own country. Two simple game-theoretic models are constructed. The first model characterizes the decision-making process of a researcher regarding the location of his activity by assessing the probability of success of such activity in conditions of individual or group participation, and is an antagonistic (matrix) game. The second model takes into account the interaction of researchers in a group, expressed through comparison of changes in individual and joint knowledge. Different professional and quantitative composition of researchers in cities generates multiple equilibria, characteristic of coordination and anti-coordination games. The problem of choosing the best Nash equilibrium is proposed to be solved using an additional parameter: the degree of possibility of continuing a scientific topic that was conducted in the city of departure. It is revealed that differences in the degree of such possibilities between cities can form the priority of researchers’ movement.

Authors

Institutions

Publication Details

Journal
Vestnik NSUEM
Published
2025-10-08
DOI
https://doi.org/10.34020/2073-6495-2025-3-150-170
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Game-theoretic approach to modeling researchers’ mobility

Anatoliy Sigal, T. B. Melnikova
Vestnik NSUEM
Complex Network Analysis Techniques
article

Game-theoretic approach to modeling researchers’ mobility

Anatoliy Sigal, T. B. Melnikova
article en

Abstract

The article considers game-theoretic modeling of researchers’ mobility between cities of own country. Two simple game-theoretic models are constructed. The first model characterizes the decision-making process of a researcher regarding the location of his activity by assessing the probability of success of such activity in conditions of individual or group participation, and is an antagonistic (matrix) game. The second model takes into account the interaction of researchers in a group, expressed through comparison of changes in individual and joint knowledge. Different professional and quantitative composition of researchers in cities generates multiple equilibria, characteristic of coordination and anti-coordination games. The problem of choosing the best Nash equilibrium is proposed to be solved using an additional parameter: the degree of possibility of continuing a scientific topic that was conducted in the city of departure. It is revealed that differences in the degree of such possibilities between cities can form the priority of researchers’ movement.

Vestnik NSUEM(3)
Plekhanov Russian University of Economics (RU), V.I. Vernadsky Crimean Federal University (UA)
Openalex Percentile: Top 78%
Complex Network Analysis Techniques
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.