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Ecosystems perspective on financial networks: diagnostic tools

The economical world consists of a highly interconnected and interdependent network of firms. Here we develop temporal and structural network tools to analyze the state of the economy. Our analysis indicates that a strong clustering can be a warning sign. Reduction in diversity, which was an essential aspect of the dynamics surrounding the crash in 2008, is seen as a key emergent feature arising naturally from the evolutionary and adaptive dynamics inherent to the financial markets. Similarly, collusion amongst construction firms in a number of regions in Japan in the 2000s can be identified with the formation of clusters of anomalous highly connected companies.

 

Ecosystems perspective on financial networks: diagnostic tools

Eduardo Viegas, Misako Takayasu, Wataru Miura, Koutarou Tamura, Takaaki Ohnishi, Hideki Takayasu, Henrik Jeldtoft Jensen

http://arxiv.org/abs/1301.5821

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Using Protein Interaction Networks to Understand Complex Diseases

Recent developments in biotechnology have enabled interrogation of the cell at various levels, leading to many types of "omic" data that provide valuable information on multiple genetic and environmental factors and their interactions. The featured Web extra is a video interview with Mehmet Koyutürk of Case Western Reserve about how biotechnology can track genetic markers to advance cancer research.

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