Variety-Seeking Jump Games on Graphs
Lata Narayanan, Jaroslav Opatrny, Shanmukha Tummala, Alexandros A. Voudouris
TL;DR
This work investigates variety-seeking jump games on graphs, where agents seek to maximize the number of neighboring types. It shows that improving response cycles can occur, but the game is a potential game under several natural conditions, and equilibria exist on trees, cylinders, and tori via constructive methods. The paper derives tight bounds on the price of anarchy for two diversity notions—social welfare and colorful edges—demonstrating linear or near-linear degradation in general graphs and revealing tighter behavior on simple topologies. It also provides a lower bound on the price of stability, underscoring that the best possible arrangement need not be an equilibrium, and outlines open questions about broader equilibrium existence and additional diversity metrics.
Abstract
We consider a class of jump games in which agents of different types occupy the nodes of a graph aiming to maximize the variety of types in their neighborhood. In particular, each agent derives a utility equal to the number of types different from its own in its neighborhood. We show that the jump game induced by the strategic behavior of the agents (who aim to maximize their utility) may in general have improving response cycles, but is a potential game under any of the following four conditions: there are only two types of agents; or exactly one empty node; or the graph is of degree at most 2; or the graph is 3-regular and there are two empty nodes. Additionally, we show that on trees, cylinder graphs, and tori, there is always an equilibrium. Finally, we show tight bounds on the price of anarchy with respect to two different measures of diversity: the social welfare (the total utility of the agents) and the number of colorful edges (that connect agents of different types).
