Comprehensive Analysis of Information Transmission Among Agents: Similarity and Heterogeneity of Collective Behavior
Recent development of Information and Communication Technology enables us to collect and store data on human activities both circumstantially and comprehensively. In such circumstances it is necessary to consider trade-off between personal privacy and public utility. In the present article I discuss methods to quantify comprehensive states of human activities without private information and propose a measure to characterize global states of societies from a holistic point of view based on an information-theoretic methodology. By means of the proposed method I investigate participants’ states of the foreign exchange market during the period of the recent financial crisis which started around the middle of 2008. The results show that drastic changes of market states frequently occurred at the foreign exchange market during the period of global financial crisis starting from 2008.
KeywordsBipartite graph Degree centrality Shannon entropies Kullback–Leibler divergence Jensen–Shannon divergence Foreign exchange market
This work was supported by the Grant-in-Aid for Young Scientists (B) (#21760059) from the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT). The author would like to express his gratitude to the Kyoto University Global COE program “Informatics Education and Research Center for Knowledge-Circulating Society”. Furthermore the author is thankful for valuable comments by Prof. Shinji Shimojo, Mr. Makoto Nukaga, and Prof. Hideaki Aoyama.
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