Analysis

Download Advances in Network Analysis and its Applications by Hamed Amini, Andreea Minca (auth.), Evangelos Kranakis PDF

By Hamed Amini, Andreea Minca (auth.), Evangelos Kranakis (eds.)

As good as highlighting in all probability worthy purposes for community research, this quantity identifies new pursuits for mathematical examine that promise to supply insights into community structures thought in addition to facilitating the cross-fertilization of principles among sectors. concentrating on monetary, defense and social facets of networking, the quantity provides to the becoming physique of facts exhibiting that community research has functions to transportation, communique, health and wellbeing, finance, and social coverage extra largely. It offers robust versions for realizing the habit of advanced structures that, in flip, will influence quite a few state-of-the-art sectors in technological know-how and engineering, equivalent to instant communique, community safeguard, disbursed computing and social networking, monetary research, and cyber warfare.

The quantity bargains an insider’s view of state-of-the-art learn in community platforms, together with methodologies with sizeable power for interdisciplinary program. The participants have all awarded fabric at a sequence of workshops equipped on behalf of Canada’s MITACS initiative, which money initiatives and research provides in ‘mathematics for info expertise and complicated systems’. those lawsuits comprise papers from workshops on monetary networks, community safeguard and cryptography, and social networks. MITACS has proven that the partially ghettoized nature of community platforms examine has resulted in duplicated paintings in discrete fields, and therefore this initiative has the capability to save lots of time and speed up the speed of analysis in a few parts of community platforms research.

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Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk. nber. org/ papers/ w15611, 2009. 7. E. A. Bender and E. R. Canfield. The asymptotic number of labeled graphs with given degree sequences. Journal of Combinatorial Theory, Series A, 24:296–307, 1978. 8. B. Bollob´as. The asymptotic number of unlabelled regular graphs. J. London Math. Soc. (2), 26(2):201–206, 1982. 9. B. Bollob´as and O. M. Riordan. Mathematical results on scale-free random graphs. In Handbook of graphs and networks, pages 1–34.

Wiley, 2008. 29. J. Gleeson, T. R. Hurd, S. Melnik, and A. Hackett. Systemic risk in banking networks without monte carlo simulation. In E. Kranakis, editor, Advances in Network Analysis and its Applications, Mathematics in Industry. Springer Verlag, Berlin Heidelberg New York, 2011. 30. A. G. Haldane. Rethinking the financial networks. pdf, 2009. 31. A. G. Haldane and R. M. May. Systemic risk in banking ecosystems. Nature, 469:351–355, 2011. 32. M. Hellwig. Systemic aspects of risk management in banking and finance.

4 Monte Carlo Simulations The steps needed to study the models using Monte Carlo simulation are now clear. In each realization a skeleton structure for a network of N nodes with joint in- and out-degree distribution p jk is first constructed. 1). The cascade of defaults initiated by an exogenous shock to one (or more) banks proceeds on a timestep-by-timestep basis, following the dynamics of either the zero recovery (GK) or non-zero recovery (NYYA) prescription for shock transmission. When no further defaults occur, the fraction of defaulted banks (the “cascade size”) is recorded, and then another realization may begin.

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