Decoding Complexity Uncovering Patterns in Economic Networks /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Glattfelder, James B. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:Springer Theses, Recognizing Outstanding Ph.D. Research,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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020 |a 9783642334245  |9 978-3-642-33424-5 
024 7 |a 10.1007/978-3-642-33424-5  |2 doi 
040 |d GrThAP 
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100 1 |a Glattfelder, James B.  |e author. 
245 1 0 |a Decoding Complexity  |h [electronic resource] :  |b Uncovering Patterns in Economic Networks /  |c by James B. Glattfelder. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
300 |a XVI, 228 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
505 0 |a 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. 
520 |a 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. 
650 0 |a Physics. 
650 0 |a Game theory. 
650 0 |a System theory. 
650 0 |a Complexity, Computational. 
650 0 |a Economic theory. 
650 1 4 |a Physics. 
650 2 4 |a Complex Networks. 
650 2 4 |a Economic Theory/Quantitative Economics/Mathematical Methods. 
650 2 4 |a Game Theory, Economics, Social and Behav. Sciences. 
650 2 4 |a Complex Systems. 
650 2 4 |a Complexity. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642334238 
830 0 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-33424-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-PHA 
950 |a Physics and Astronomy (Springer-11651)