Name
Abstract | ||
|---|---|---|
The real economy in Japan comprises two million firms and billions of links of supplier-customer and other relationships. We challenge to visualize such big data, specifically how firms are connected to each other. We use a dataset of a million of firms and millions of links of supplier-customer and ownership relationships in order to directly observe such a network structure. We discovered interesting features of the economic network. Firms are connected by the links into tightly-knit groups with high density in intra-groups and with lower connectivity in inter-groups, namely by community structures. We found that the features of community structures are specific to individual industrial sectors, such as manufacturers, retails and wholesales, infra-structure-related sector, health-cares, and so forth. (Figure 1, the representative image attached to this paper is an example of graph drawing in which a million nodes are located with colors representing different industrial sectors). In the network, we also visualized how bankruptcies or failures of firms took place during one year right after the Great East Japan Earthquake in 2011. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2818517.2818525 | SIGGRAPH Asia Visualization in High Performance Computing |
Field | DocType | Citations |
Graph drawing,Community structure,Telecommunications,Computer science,Simulation,N-body simulation,High density,Big data,Graph Layout,Distributed computing,Network structure | Conference | 1 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuji Fujita | 1 | 1 | 0.68 |
| Yoshi Fujiwara | 2 | 58 | 11.10 |
| Wataru Souma | 3 | 3 | 2.87 |