Decoding complexity uncovering patterns in economic networks James B. Glattfelder

Format:

Book

Thesis/Dissertation

Author/Creator:

Glattfelder, James B.

Series:

Springer theses

Language:

English

Subjects (All):

Economics, Mathematical.

Genre:

dissertations

Academic theses

Physical Description:

1 online resource

Place of Publication:

Berlin New York Springer ©2013

Summary:

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

Contents:

The Main Methodology: Computing Control in Ownership Networks Backbone of Complex Networks of Corporations: The Flow of Control The Network of Global Corporate Control The Bow-Tie Model of Ownership Networks Conclusions

Notes:

Ph. D. Swiss Federal Institute of Technology

Includes bibliographical references

Print version record

Other Format:

Print version Glattfelder, James B. Decoding complexity

ISBN:

9783642334245

3642334245

3642334237

9783642334238

OCLC:

820020538

Access Restriction:

Restricted for use by site license