Chapter 11 of the book titled by "Complexity, Heterogeneity and the Methods of Statistical Physics in Economics" which will be published from Springer in 2020
Most national economies are linked by international trade. Consequently, economic globalization forms a massive and complex economic network with strong links, that is, interactions arising from increasing trade. Various interesting collective motions are expected to emerge from strong economic interactions in a global economy under trade liberalization. Among the various economic collective motions, economic crises are our most intriguing problem. In our previous studies, we have revealed that the Kuramoto's coupled limit-cycle oscillator model and the Ising-like spin model on networks are invaluable tools for characterizing the economic crises. In this study, we develop a mathematical theory to describe an interacting agent model that derives the Kuramoto model and the Ising-like spin model by using appropriate approximations. Our interacting agent model suggests phase synchronization and spin ordering during economic crises. We confirm the emergence of the phase synchronization and spin ordering during economic crises by analyzing various economic time series data. We also develop a network reconstruction model based on entropy maximization that considers the sparsity of the network. Here network reconstruction means estimating a network's adjacency matrix from a node's local information. The interbank network is reconstructed using the developed model, and a comparison is made of the reconstructed network with the actual data. We successfully reproduce the interbank network and the known stylized facts. In addition, the exogenous shock acting on an industry community in a supply chain network and financial sector are estimated. Estimation of exogenous shocks acting on communities of in the real economy in the supply chain network provide evidence of the channels of distress propagating from the financial sector to the real economy through the supply chain network.
Nanotechnology and Innovation, Recent status and the strategic implication for the formation of high tech clusters in Greece, in between a global economic crisis
Agent-based and macroscopic modeling of the complex socio-economic systems
当前的经济危机引起了跨学科科学界的积极反应。因此，发表了许多论文，提出了在理解复杂的社会经济系统方面可以改进的内容。关于这个主题的一些最著名的论文包括（Bouchaud，2009; Farmer and Foley，2009; Farmer et al，2012; Helbing，2010; Pietronero，2008）。这些论文都认为，基于代理的建模是更好地理解复杂的社会经济系统，从而更好地制定政策的必要条件。然而，为了使基于代理的模型有用，它还应该在分析上易于处理，具有宏观处理（Cristelli等人，2012）。在这项工作中，我们对我们的研究小组对理解个体间相互作用和集体行为之间的对应关系的贡献有了新的认识。我们还提供了一些新的见解的影响，全球和本地的相互作用，领导和捕食者-猎物的相互作用在复杂的社会经济系统。
