Dynamics of ideal efforts and consensus in a multi-layer network game

We study a network game on a fixed multi-layer network of two types of relationships. The social interactions in the first layer carry a pressure to conform with the social norm within the layer. The second layer provides additional strategic complementarities from players’ interaction. Players are endowed with personal ideal efforts and are heterogeneous in their ideal efforts and productivity. Each player repeatedly chooses her effort level in the network game and updates her ideal effort based on the new effort choice. Each player suffers disutility when her effort differs from her neighbors’ efforts or is inconsistent with her ideal effort. We find the pure Nash equilibrium of the game in each period and provide conditions for the convergence of efforts and ideals to a steady state. Furthermore, we find that the sensitivity to cognitive dissonance and the taste for conformity have opposing effects on the speed of convergence to a consensus and the steady state. • We study a network game on a fixed multi-layer network of two types of relationships. • One layer carries a peer pressure to conform with the social norm within the layer. • Another layer provides strategic complementarities from players’ interaction. • We provide conditions on the network layer of strategic complementarities such that the steady state exists. • We show that the sensitivity to cognitive dissonance and the taste for conformity have opposing effects on the speed of convergence to a consensus and the steady state.

Authors

Institutions

Publication Details

Journal
Mathematical Social Sciences
Published
2025-05-01
DOI
https://doi.org/10.1016/j.mathsocsci.2025.102421
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamics of ideal efforts and consensus in a multi-layer network game

Mariam Nanumyan, Vincent Vannetelbosch, Ana Mauleón
Mathematical Social Sciences
Opinion Dynamics and Social Influence
article

Dynamics of ideal efforts and consensus in a multi-layer network game

Mariam Nanumyan, Vincent Vannetelbosch, Ana Mauleón
article en

Abstract

We study a network game on a fixed multi-layer network of two types of relationships. The social interactions in the first layer carry a pressure to conform with the social norm within the layer. The second layer provides additional strategic complementarities from players’ interaction. Players are endowed with personal ideal efforts and are heterogeneous in their ideal efforts and productivity. Each player repeatedly chooses her effort level in the network game and updates her ideal effort based on the new effort choice. Each player suffers disutility when her effort differs from her neighbors’ efforts or is inconsistent with her ideal effort. We find the pure Nash equilibrium of the game in each period and provide conditions for the convergence of efforts and ideals to a steady state. Furthermore, we find that the sensitivity to cognitive dissonance and the taste for conformity have opposing effects on the speed of convergence to a consensus and the steady state. • We study a network game on a fixed multi-layer network of two types of relationships. • One layer carries a peer pressure to conform with the social norm within the layer. • Another layer provides strategic complementarities from players’ interaction. • We provide conditions on the network layer of strategic complementarities such that the steady state exists. • We show that the sensitivity to cognitive dissonance and the taste for conformity have opposing effects on the speed of convergence to a consensus and the steady state.

Mathematical Social SciencesVol. 135
Bielefeld University (DE), UCB Pharma (Belgium) (BE)
H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 91%
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.