Communities in an Inter-firm Network and Their Geographical Perspectives
Proceedings of CUPUM
We detect communities, or groups of firms having a mutually close business relationship, in a huge inter-firm transaction network and study their geographical perspectives. We apply a random-walk based method proposed in network science for the community detection to a Japanese inter-firm network having around 0.7 million firms. We found that the community size follows a power-law distribution, and high-ranked communities in terms of size are non-localized nationwide communities. Although the industrial proximity is generally important for community formation, whether the geographical proximity matters depends on the type of business. Localized communities tend to be medium-sized. We also shed light on the hierarchical structure of the community. We found that some of the nationwide communities are divided into several localized sub-communities.
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The University of Tokyo
Ritsu Sakuramachi, Naoya Fujiwara, Shota Fujishima., Yuki Akiyama, and Ryosuke Shibasaki.