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Decoding Complexity: Uncovering Patterns in Economic Networks: Springer Theses

Autor james glattfelder
en Limba Engleză Paperback – 14 dec 2014
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.
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Specificații

ISBN-13: 9783642426636
ISBN-10: 3642426638
Pagini: 244
Ilustrații: XVI, 228 p.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.35 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Theses

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Recenzii

From the reviews:
“Grattfelder’s book develops a set of analytical and numerical tools which investigate the economic system as a large scale network. … The reader searching for a methodological reference and new ideas on how to study economic networks will find in this book an invaluable source of information. … of paramount interest for anyone concerned with social applications of complex networks and, in particular, for social simulators who want to base their models on new network measures and new stylized facts to better understand socioeconomic phenomena.” (Simone Righi, Journal of Artificial Societies and Social Simulation, 2012)

Textul de pe ultima copertă

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.

Caracteristici

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 Includes supplementary material: sn.pub/extras