Dynamics on Synchronization Network of Complex Economic Big Data and Forecasting World Economic Crisis
Project Gist
Scientific approach to economics based on real big data
Keywords
Network, Trade relationship between firms, Complex Hilbert principal component analysis
Background and Purpose
It is of upmost importance to use the real big data for scientific approach to Economy. This research project uses huge (~one million firms) trading relationship data of Japan, micro price time series, etc. to reveal dynamics of Japanese economy, including the crucial problem of long-lasting deflation in Japan.
Project Achievements
This research framework enabled us to start several new collaborations. As a result, we achieved new findings on power-law behavior of the communities of trade network, clustering behavior of the micro-prices, and others. Several new research project with U.S. and Germany are in progress currently.
Future Prospects
This research brought us the basic understanding of the structure of the trade network. Using this knowledge, we will start construction simulation model(s) to clarify the economic dynamics of Japan, incorporating the knowledge we obtained in research on micro prices.
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Principal Investigator
・AOYAMA Hideaki
・Graduate School of Science
・He is a theoretical physicist who obtained Ph.D. at Caltech in 1982. He has broad interests where scientific approach is useful, including linguistics. Since around 2000 he got interested in economy.