@article{oai:kansai-u.repo.nii.ac.jp:00013116,
 author = {荒木, 孝治 and Araki, Takaharu and Hashimoto, Noriko},
 journal = {Kansai University review of economics},
 month = {Mar},
 note = {In recent years, a group of physicists have started to research financial systems by using tools and methodologies which are specific to physics. Mantegna (1998) proposed a new method detecting the existence of the economic information stored in the time series of stock prices. He used correlation coefficient to evaluate the distance between stocks and reveal the spatial structure of stocks traded in a financial market. In this paper, we apply his method to consumption data and explain a hierarchical structure of food consumption.},
 pages = {57--69},
 title = {Hierarchical Structure in Food Consumption},
 volume = {4},
 year = {2002}
}