Economic Properties of Social Networks
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.
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Text
Kakade et al. "Economic Properties of Social Networks." Neural Information Processing Systems, 2004.Markdown
[Kakade et al. "Economic Properties of Social Networks." Neural Information Processing Systems, 2004.](https://mlanthology.org/neurips/2004/kakade2004neurips-economic/)BibTeX
@inproceedings{kakade2004neurips-economic,
title = {{Economic Properties of Social Networks}},
author = {Kakade, Sham M. and Kearns, Michael and Ortiz, Luis E. and Pemantle, Robin and Suri, Siddharth},
booktitle = {Neural Information Processing Systems},
year = {2004},
pages = {633-640},
url = {https://mlanthology.org/neurips/2004/kakade2004neurips-economic/}
}