Testing "efficient supply chain propositions" using topological characterization of the global supply chain network.

In this paper, we study the topological properties of the global supply chain network in terms of its degree distribution, clustering coefficient, degree-degree correlation, bow-tie structure, and community structure to test the efficient supply chain propositions proposed by E. J.S.

Economic complexity of prefectures in Japan.

Every nation prioritizes the inclusive economic growth and development of all regions. However, we observe that economic activities are clustered in space, which results in a disparity in per-capita income among different regions. A complexity-based method was proposed by Hidalgo and Hausmann [PNAS 106, 10570-10575 (2009)] to explain the large gaps in per-capita income across countries.

Fish and meat intakes and prevalence of anemia among the Japanese elderly.

Background And Objectives: Information about an association between animal food intakes and risk of anemia is still limited. This study aimed to investigate the association between fish and meat intake and anemia risk in the Japanese elderly.

Methods And Study Design: A nationally representative sample of 6,469 aged 65 years and over was obtained from pooled data of annual National Health and Nutritional Survey in Japan during 2002-2011.

Hierarchical communities in the walnut structure of the Japanese production network.

This paper studies the structure of the Japanese production network, which includes one million firms and five million supplier-customer links. This study finds that this network forms a tightly-knit structure with a core giant strongly connected component (GSCC) surrounded by IN and OUT components constituting two half-shells of the GSCC, which we call awalnut structure because of its shape. The hierarchical structure of the communities is studied by the Infomap method, and most of the irreducible communities are found to be at the second level.

Bank-firm credit network in Japan: an analysis of a bipartite network.

We investigate the networked nature of the Japanese credit market. Our investigation is performed with tools of network science. In our investigation we perform community detection with an algorithm which is identifying communities composed of both banks and firms.