Multilayer network games: A cooperative approach

Abstract In this paper, we introduce the concept of a multilayer network game in a cooperative setup. We consider the notion of simultaneous contribution of individual players or links to two different networks (say, X and Z). Our model nests both classical network games and bi-cooperative network games. The calculation of the utility of players within a specific network in the presence of an additional/alternative network provides a broader spectrum of real-world decision dynamics. The subsequent challenge involves achieving an optimal distribution of payoffs among the players forming the networks. The link-based rule best fits to our model as it delves into the influence of the alternative links in the network. We have designed an extended Position value to address the complexities arising from scenarios where networks overlap. Further, it is shown that the Position value is uniquely characterized by the Efficiency and Balanced Link Contribution axioms.

Authors

Institutions

Publication Details

Journal
Network Science
Published
2024-11-07
DOI
https://doi.org/10.1017/nws.2024.15
Citations
1
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multilayer network games: A cooperative approach

Parishmita Boruah, Surajit Borkotokey, Rajnish Kumar
1 citations
Network Science
Game Theory and Applications
0.49
article

Multilayer network games: A cooperative approach

Parishmita Boruah, Surajit Borkotokey, Rajnish Kumar
article en
1 citations

Abstract

Abstract In this paper, we introduce the concept of a multilayer network game in a cooperative setup. We consider the notion of simultaneous contribution of individual players or links to two different networks (say, X and Z). Our model nests both classical network games and bi-cooperative network games. The calculation of the utility of players within a specific network in the presence of an additional/alternative network provides a broader spectrum of real-world decision dynamics. The subsequent challenge involves achieving an optimal distribution of payoffs among the players forming the networks. The link-based rule best fits to our model as it delves into the influence of the alternative links in the network. We have designed an extended Position value to address the complexities arising from scenarios where networks overlap. Further, it is shown that the Position value is uniquely characterized by the Efficiency and Balanced Link Contribution axioms.

Network ScienceVol. 12(4)
Queen's University Belfast (GB), Dibrugarh University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 29%
Game Theory and Applications
0.49
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.

Multilayer network games: A cooperative approach — Parishmita Boruah, Surajit Borkotokey, et al. · Network Science (2024) | TGRS Research Map | TGRS