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Physics - Complexity | Decoding Complexity - Uncovering Patterns in Economic Networks

Decoding Complexity

Uncovering Patterns in Economic Networks

Series: Springer Theses

glattfelder, james

2013, XVI, 228 p.

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  • Nominated as an outstanding contribution by the ETH Zurich
  • Presents powerful new methods for understanding economic and corporate networks
  • Written in a lucid and accessible style
  • Will appeal to readers from many disciplines that involve complex networks
Today it appears that we understand more about the universe than about our interconnected socio-economic world. In order to uncover organizational structures and novel features in these systems, we present the first comprehensive complex systems analysis of real-world ownership networks. This effort lies at the interface between the realms of economics and the emerging field loosely referred to as complexity science. The structure of global economic power is reflected in the network of ownership ties of companies and the analysis of such ownership networks has possible implications for market competition and financial stability. Thus this work presents powerful new tools for the study of economic and corporate networks that are only just beginning to attract the attention of scholars.

Content Level » Research

Keywords » Complex Networks of Ownership - Complex Ownership Networks - Complex Systems in Economics - Corporate Control - Corporate Ownership - Economic Networks - Empirical Network Analysis - Financial Stability Analysis - Ownership and Control

Related subjects » Applications - Complexity - Economic Theory

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