英文标题：
《Emergence of frustration signals systemic risk》
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作者：
Chandrashekar Kuyyamudi, Anindya S. Chakrabarti and Sitabhra Sinha
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最新提交年份：
2018
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英文摘要：
  We show that the emergence of systemic risk in complex systems can be understood from the evolution of functional networks representing interactions inferred from fluctuation correlations between macroscopic observables. Specifically, we analyze the long-term collective dynamics of the New York Stock Exchange between 1926-2016, showing that periods marked by systemic crisis, viz., around the Great Depression of 1929-33 and the Great Recession of 2007-09, are associated with emergence of frustration indicated by the loss of structural balance in the interaction networks. During these periods the dominant eigenmodes characterizing the collective behavior exhibit delocalization leading to increased coherence in the dynamics. The topological structure of the networks exhibits a slowly evolving trend marked by the emergence of a prominent core-periphery organization around both of the crisis periods.
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中文摘要：
我们表明，复杂系统中系统性风险的出现可以从功能网络的演化中理解，这些功能网络表示从宏观观测值之间的波动相关性推断出的相互作用。具体而言，我们分析了1926年至2016年期间纽约证券交易所的长期集体动态，表明以系统性危机为标志的时期，即：。，1929-33年的大萧条和2007-09年的大衰退，都与互动网络中结构平衡的丧失所表明的挫折感的出现有关。在这些时期，表征集体行为的主要本征模表现出离域性，从而增加了动力学的一致性。网络的拓扑结构呈现出缓慢发展的趋势，在这两个危机时期都出现了一个突出的核心-外围组织。
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Quantitative Finance        数量金融学
二级分类：Risk Management        风险管理
分类描述：Measurement and management of financial risks in trading, banking, insurance, corporate and other applications
衡量和管理贸易、银行、保险、企业和其他应用中的金融风险
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