Decoding Complexity

Uncovering Patterns in Economic Networks

  • James B.¬†Glattfelder

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. James B. Glattfelder
    Pages 1-21
  3. James B. Glattfelder
    Pages 95-119
  4. James B. Glattfelder
    Pages 121-148
  5. James B. Glattfelder
    Pages 149-166
  6. Back Matter
    Pages 167-225

About this book

Introduction

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.

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

Authors and affiliations

  • James B.¬†Glattfelder
    • 1
  1. 1.Olsen Ltd.Swiss Federal Institute of TechnologyZurichSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-33424-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-642-33423-8
  • Online ISBN 978-3-642-33424-5
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • About this book