We found hierarchical structure and negative degree correlation in firms' transaction network. The network consists of 800,000 Japanese firms. We also summarize other features of the network and discuss why studying network structure is important. We also found scale free distribution in...

We analyze fundamental characteristics of the inter-firm transaction network through the data of 800,000 Japanese firms. We find that there exists a hierarchical structure and a negative degree correlation in this transaction network. We also find that this undirected network is a scale-free...

We analyze fundamental characteristics of the inter-firm transaction network through the data of 800,000 Japanese firms. We find that there exists a hierarchical structure and a negative degree correlation in this transaction network. We also find that this undirected network is a scale-free...

In International Economics, so-called gravity equation has been successful. In the present paper, we show that similar equation concerning transaction network holds well. The weight of transaction network among Japanese prefectures is explained by Sales-i*Sales-j/Distance-ij very well. The...

We analyze fundamental characteristics of the inter-firm transaction network through the data of 800,000 Japanese firms. We find that there exists a hierarchical structure and a negative degree correlation in this transaction network. We also find that this undirected network is a scale-free...

We introduce the knowledge spillover equation on a network. We construct a tool to investigating the knowledge spillover in terms of network. The mean-filed asymptotic solution of the equation has the following characteristics: (1) the growth rate is common for all agents on the network...