Abstract
In this chapter the mathematical bulk of the thesis is presented. The aim of having an exhaustive account of the methods results in the extensive scope of the chapter. As networks find their mathematical embodiment in adjacency matrices (see Appendix B), most of the formalism is comprised of linear-algebraic manipulations.
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Notes
- 1.
Brioschi et al. (1989) use the value of the net assets.
- 2.
A list of acronyms can be found in front matter of this book.
- 3.
Treasury shares may have come from a repurchase of shares by the firm from shareholders or they may have never been issued to the public. These shares do not pay dividends and have no voting rights, see also Fig. 1.4.
- 4.
\(\mathrm{diag }(\mathrm{diag }(A)) = \mathrm{diag }(A)\), \(\mathrm{diag }(A+B) = \mathrm{diag }(A) + \mathrm{diag }(B)\), and \(\mathrm{diag }(I) = I\).
- 5.
This was also observed in Eq. (2.75).
- 6.
- 7.
It is not clear if this difference should be understood as an error in the computation or if simply \({\mathop {\nu }\limits ^{^{\circ }}}^\mathrm{int }\) is just another legitimate variant to the theme of integrated value.
- 8.
Meaning on the basis of all direct and indirect paths in the network.
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Glattfelder, J.B. (2013). The Main Methodology: Computing Control in Ownership Networks. In: Decoding Complexity. Springer Theses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33424-5_2
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