Electronic Resource

Decoding complexity : uncovering patterns in economic networks

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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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Ketersediaan

Informasi Detail

Judul Seri

Springer Theses

No. Panggil

E1731

Penerbit

Heidelberg : Springer Berlin., 2013

Deskripsi Fisik

xvi, 228 hlm.

Bahasa

English

ISBN/ISSN

9783642334245

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

Teori Ekonomi
Sistem Kompleks : Ilmu Sosial
Aplikasi Teori Graf dan Jaringan Kompleks

Info Detail Spesifik

-

Pernyataan Tanggungjawab

James B. Glattfelder

Versi lain/terkait

Lampiran Berkas

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