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.

Cite

Text

Even-dar and Kearns. "A Small World Threshold for Economic Network Formation." Neural Information Processing Systems, 2006.

Markdown

[Even-dar and Kearns. "A Small World Threshold for Economic Network Formation." Neural Information Processing Systems, 2006.](https://mlanthology.org/neurips/2006/evendar2006neurips-small/)

BibTeX

@inproceedings{evendar2006neurips-small,
  title     = {{A Small World Threshold for Economic Network Formation}},
  author    = {Even-dar, Eyal and Kearns, Michael},
  booktitle = {Neural Information Processing Systems},
  year      = {2006},
  pages     = {385-392},
  url       = {https://mlanthology.org/neurips/2006/evendar2006neurips-small/}
}