@report {1617121,
	title = {The Economic Properties of Social Networks},
	year = {2005},
	address = {Advances in Neural Information Processing Systems 17 (NIPS 2004)},
	abstract = {We examine the marriage of recent probabilistic generative models for social networks with classical frameworks from mathematical eco- nomics. We are particularly interested in how the statistical structure of such networks influences global economic quantities such as price vari- ation. Our findings are a mixture of formal analysis, simulation, and experiments on an international trade data set from the United Nations.},
	url = {https://papers.nips.cc/paper/2004/hash/50abc3e730e36b387ca8e02c26dc0a22-Abstract.html},
	author = {Sham M. Kakade and Michael Kearns and Luis Ortiz and Robin Pemantle and Siddharth Suri}
}
