Toward new economic indicator using multi-layered network analysis

如今，许多公司迫于日益激烈的国际竞争和不稳定的经济形势，选择了专业化而不是通用化，以此来保持竞争力。因此，企业不能只依靠自己，而必须合作，结合自己的优势。为了获得这种合作的实际条件，一个多层网络的基础上，两种不同类型的数据进行了研究。第一类是来自日本企业的交易数据。根据这些数据创建的网络包括961，363家公司和7，808，760个链接。第二类数据来自日本的联合专利申请。联合专利申请网络包括54，197个节点和154，205个链接。这两个网络合并成一个网络。我们从投入产出表、ERG模型和贝叶斯网络的角度对数据进行了分析。

Many firms these days, forced by increasing international competition and an unstable economy, are opting to specialize rather than generalize as a way of maintaining their competitiveness. Consequently, firms cannot rely solely on themselves, but must cooperate by combining their advantages.To obtain the actual conditions for this cooperation, a multi-layered network based on two different types of data was investigated. The first type was transaction data from Japanese firms. The network created from the data included 961,363 firms and 7,808,760 links. The second type of data was from joint-patent applications in Japan. The joint-patent application network included 54,197 nodes and 154,205 links. These two networks were merged into one network. We analyzed the data from the viewpoint of input-output tables, the ERG model, and Bayesian networks.