Download Decoding Complexity: Uncovering Patterns in Economic by james glattfelder PDF

By james glattfelder

This day it seems that we comprehend extra concerning the universe than approximately our interconnected socio-economic international. with a view to discover organizational buildings and novel positive aspects in those structures, we current the 1st complete complicated structures research of real-world possession networks. This attempt lies on the interface among the geographical regions of economics and the rising box loosely often called complexity technological know-how. The constitution of world fiscal strength is mirrored within the community of possession ties of businesses and the research of such possession networks has attainable implications for industry pageant and fiscal balance. therefore this paintings provides strong new instruments for the research of monetary and company networks which are basically simply commencing to allure the eye of students.

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Extra resources for Decoding Complexity: Uncovering Patterns in Economic Networks

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Buldyrev, S. A. E. Stanley, Power law scaling for a system of interacting units with complex internal structure. Phys. Rev. Lett. R. Banavar, A. Maritan, A. Rinaldo, Size and form in efficient transportation networks. L. Barabási, R. Albert, H. Jeong, Scale-free characteristics of random networks: the topology of the World-Wide Web. Physica A 281(1–4), 69–77 (2000) 11 See in detail (Farmer et al. eu/about/fetflagships. org/. pdf. 18 1 Introduction F. Barca, M. Becht, The Control of Corporate Europe (Oxford University Press, Oxford, 2001) A.

Observe that the integrated ownership value of Eq. 45) k which can be interpreted as a centrality measure similarly to Eqs. 11), which are reminiscent of a Hubbell index centrality (see Sect. 6). In effect, the importance of node i reflected in ν˜iint , is determined by the importance of its neighbors and the value of its neighbors. Alternatively, in an ownership setting, ν˜iint in Eq. 45) should be understood as the integrated value of i’s neighbors plus i’s portfolio value, given in Eq. 2). An additional interpretation in terms of network flow will be given in Sect.

Rev. Mod. Phys. 74(1), 47–97 (2002) R. Albert, H. L. Barabási, Internet: diameter of the World-Wide Web. Nature 401(6749), 130–131 (1999) R. Albert, I. L. Nakarado, Structural vulnerability of the North American power grid. Phys. Rev. E 69(2), 25103 (2004) H. Y. Park, M. Subrahmanyam, D. Wolfenzon, Beyond Cash Flow and Voting Rights: Valuation and Performance of Firms in Complex Ownership Structures. V. Almeida, D. Wolfenzon, A theory of pyramidal ownership and family business groups. J. N. V. Buldyrev, S.

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