English

On a Network Centrality Maximization Game

Social and Information Networks 2023-09-12 v3 Computer Science and Game Theory Systems and Control Systems and Control Probability

Abstract

We study a network formation game where nn players, identified with the nodes of a directed graph to be formed, choose where to wire their outgoing links in order to maximize their PageRank centrality. Specifically, the action of every player ii consists in the wiring of a predetermined number did_i of directed out-links, and her utility is her own PageRank centrality in the network resulting from the actions of all players. We show that this is a potential game and that the best response correspondence always exhibits a local structure in that it is never convenient for a node ii to link to other nodes that are at incoming distance more than did_i from her. We then study the equilibria of this game determining necessary conditions for a graph to be a (strict, recurrent) Nash equilibrium. Moreover, in the homogeneous case, where players all have the same number dd of out-links, we characterize the structure of the potential maximizing equilibria and, in the special cases d=1 d=1 and d=2 d=2 , we provide a complete classification of the set of (strict, recurrent) Nash equilibria. Our analysis shows in particular that the considered formation mechanism leads to the emergence of undirected and disconnected or loosely connected networks.

Keywords

Cite

@article{arxiv.2211.03685,
  title  = {On a Network Centrality Maximization Game},
  author = {Costanza Catalano and Maria Castaldo and Giacomo Como and Fabio Fagnani},
  journal= {arXiv preprint arXiv:2211.03685},
  year   = {2023}
}

Comments

42 pages, 11 figures

R2 v1 2026-06-28T05:20:52.071Z