Structure analyses of a large-scale transaction network through visualization based on molecular dynamics

Kamehama, K; Iino, Takashi; Iyetomi, Hiroshi; Ikeda, Yuichi; Ohnishi, Takaaki; Takayasu, Hideki; Takayasu, Misako

doi:10.1088/1742-6596/221/1/012013

Cited by 5 publications

(6 citation statements)

References 14 publications

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“…In this paper, we focused on the supply chains in the central region, which contained a total of 182,538 firms. These data were provided by Tokyo Shoko Research (TSR) and were collected in 2012 [4,5,15,16,44]. Based on geographic distribution, the number of firms that belonging to each prefecture is described in Table 1.…”

Section: Geographical Informationmentioning

confidence: 99%

“…Due to the importance of supplier-customer relationships in guiding modern research and practice [1], the main impacts of this research in the field of business management and operation research are apparent. An increasing interest in applying a network analysis approach to understand supply networks (SNs) instead of linear supply chains (SCs) has been observed [2][3][4][5][6][7][8][9][10][11][12][13][14]. SNs have become a new analytic paradigm in SCM, and have been identified as regional clusters [2][3][4]6] or industrial sectors [4,7,8], and are also well known as complex adaptive systems (CAS) [5,[9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have focused on geographical agglomeration and modularized SNs in regional clusters [2][3][4]6]. The regional clusters presented a dense inter-organizational network, which enhanced knowledge diffusion, regional learning and effective resource transfer.…”

Section: Introductionmentioning

confidence: 99%

“…The analyses and results of the regional clusters were insufficient to reveal the cross-regional features to benefit community-based economics, accounting for the lack of transaction information. However, Takayasu et al [4,5] investigated the community structure of a large-scale SN. Their studies only initiated possible applications of the visualization of the SN, and their results also showed the firms local closeness.…”

Section: Introductionmentioning

confidence: 99%

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Toward a Theory of Industrial Supply Networks: A Multi-Level Perspective via Network Analysis

Zuo

Kajikawa

2017

Entropy

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Abstract:In most supply chains (SCs), transaction relationships between suppliers and customers are commonly considered to be an extrapolation from a linear perspective. However, this traditional linear concept of an SC is egotistic and oversimplified and does not sufficiently reflect the complex and cyclical structure of supplier-customer relationships in current economic and industrial situations. The interactional relationships and topological characteristics between suppliers and customers should be analyzed using supply networks (SNs) rather than traditional linear SCs. Therefore, this paper reconceptualizes SCs as SNs in complex adaptive systems (CAS), and presents three main contributions. First, we propose an integrated framework of CAS network by synthesizing multi-level network analysis from the network-, community-and vertex-perspective. The CAS perspective enables us to understand the advances of SN properties. Second, in order to emphasize the CAS properties of SNs, we conducted a real-world SN based on the Japanese industry and describe an advanced investigation of SN theory. The CAS properties help in enriching the SN theory, which can benefit SN management, community economics and industrial resilience. Third, we propose a quantitative metric of entropy to measure the complexity and robustness of SNs. The results not only support a specific understanding of the structural outcomes relevant to SNs, but also deliver efficient and effective support to the management and design of SNs.

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Section: Geographical Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Toward a Theory of Industrial Supply Networks: A Multi-Level Perspective via Network Analysis

Zuo

Kajikawa

2017

Entropy

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“…In a series of papers Iyetomi 2011, 2012a, b;Iino et al 2010;Kamehama et al 2010), we studied community structure in a Japanese production network, constructed with data on almost a million firms and 4 million transaction relations. In this network, nodes and links correspond to firms and transaction relations, respectively.…”

Section: Introductionmentioning

confidence: 99%

Community Structure of a Large-Scale Production Network in Japan

Iino

Iyetomi

2015

Advances in Japanese Business and Economics

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This chapter analyzes nationwide supplier-buyer relationship data for nearly a million firms and 4 million transactions in Japan. The production network constructed by firms through their transaction relations reflects the characteristics of economic activities in Japan. For an intuitive understanding of the network structure, we first visualize the network in three-dimensional space using a spring-electrostatic model. In this model, we replace nodes (firms) and links (transaction relations) by particles with identical charges and springs. This visualization shows that the network is highly heterogeneous, with some firms being tightly connected and forming groups, between which there are much looser connections. Such industrial communities are identified here using algorithms that maximize modularity, which measures the share of links encircled by a given partition of nodes, with reference to the expected share of intra-links for corresponding random networks with the same node partitions. Since major communities thereby detected are still very heterogeneous, the detection of communities is repeated within them. The 10 largest communities and their principal sub-communities are then characterized by areal and industry sectoral attributes of firms. In addition, how closely the sub-communities are related to each other is quantified by introducing a metric of "distance" between them. Finally, the hierarchical relationship between the communities is clarified by considering directional features of the transactions.

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Multiscale Community Analysis of a Production Network of Firms in Japan

Iino

Iyetomi

2011

Intelligent Decision Technologies

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Structure analyses of a large-scale transaction network through visualization based on molecular dynamics

Cited by 5 publications

References 14 publications

Toward a Theory of Industrial Supply Networks: A Multi-Level Perspective via Network Analysis

Toward a Theory of Industrial Supply Networks: A Multi-Level Perspective via Network Analysis

Community Structure of a Large-Scale Production Network in Japan

Multiscale Community Analysis of a Production Network of Firms in Japan

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