2006 NIPS NeurIPS 2006

A Small World Threshold for Economic Network Formation

Abstract

We introduce a game-theoretic model for network formation inspired by earlier stochastic models that mix localized and long-distance connectivity. In this model, players may purchase edges at distance d at a cost of d , and wish to minimize the sum of their edge purchases and their average distance to other players. In this model, we show there is a striking "small world" threshold phenomenon: in two dimensions, if < 2 then every Nash equilibrium results in a network of constant diameter (independent of network size), and if > 2 then every Nash equilibrium results in a network whose diameter grows as a root of the network size, and thus is unbounded. We contrast our results with those of Kleinberg [8] in a stochastic model, and empirically investigate the "navigability" of equilibrium networks. Our theoretical results all generalize to higher dimensions.

🚀 Conference Pioneer — NIPS 2006
🌉 Interdisciplinary Bridge — Artificial Intelligence and Computer Science and Mathematics & Optimization
📈 Trend Setter — Game AI
🧭 Keyword Pioneer — graph theory
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning
🐣 Hot Topic Early Bird — game theory