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Other titles in the Springer Theses series:

Decoding Complexity: Uncovering Patterns in Economic Networks (Springer Theses)

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Decoding Complexity: Uncovering Patterns in Economic Networks (Springer Theses) Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

Exploring the interface between economics and the emerging field of complexity science, this book offers the first comprehensive complex systems analysis of real-world ownership networks. Presents potent new tools for studying economic and corporate networks.

Table of 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.

Product Details

ISBN:
9783642334238
Author:
Glattfelder, James B.
Publisher:
Springer
Author:
glattfelder, james
Location:
Berlin, Heidelberg
Subject:
System Theory
Subject:
Complex Networks of Ownership
Subject:
Complex Ownership Networks
Subject:
Complex Systems in Economics
Subject:
Corporate Control
Subject:
Corporate Ownership
Subject:
economic networks
Subject:
Empirical Network Analysis
Subject:
Financial Stability Analysis
Subject:
Ownership and Control
Subject:
complex networks
Subject:
Economic theory
Subject:
Game Theory, Economics, Social and Behav. Sciences
Subject:
Complex systems
Subject:
Complexity
Subject:
Science Reference-Technology
Subject:
Physics
Subject:
B
Subject:
Physics and Astronomy
Subject:
Economics
Subject:
Mathematics
Subject:
Engineering
Copyright:
Edition Description:
2013
Series:
Springer Theses
Publication Date:
20121228
Binding:
HARDCOVER
Language:
English
Pages:
230
Dimensions:
235 x 155 mm

Related Subjects

Business » Accounting and Finance
History and Social Science » Economics » General
Reference » Science Reference » Technology
Science and Mathematics » Mathematics » Modeling
Science and Mathematics » Mathematics » Systems Theory
Science and Mathematics » Physics » General

Decoding Complexity: Uncovering Patterns in Economic Networks (Springer Theses) New Hardcover
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Product details 230 pages Springer - English 9783642334238 Reviews:
"Synopsis" by , Exploring the interface between economics and the emerging field of complexity science, this book offers the first comprehensive complex systems analysis of real-world ownership networks. Presents potent new tools for studying economic and corporate networks.
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