Electric circuits analogies in economics modeling: Corruption networks

Malafeyev, Oleg; Redinskikh, N. D.; Alferov, Gennady

doi:10.1109/emission.2014.6893965

Cited by 33 publications

(18 citation statements)

References 10 publications

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“…The first third of all agents gives almost 90% of all information about hidden corruption factors. Indices of those agents are 30,31,33,22,6,23,18,4,28,21,27. Unexpectedly, agent 30 contributes the most to the corrupt behavior.…”

Section: Numerical Examplementioning

confidence: 99%

A statistical method for corrupt agents detection

Pichugin

Malafeyev

Rylow

et al. 2018

AIP Conference Proceedings

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The statistical method is used to identify the hidden leaders of the corruption structure. The method is based on principal component analysis (PCA), linear regression, and Shannon information. It is applied to study the time series data of corrupt financial activity. Shannon's quantity of information is specified as a function of two arguments: a vector of hidden corruption factors and a subset of corrupt agents. Several optimization problems are solved to determine the contribution of corresponding corrupt agents to the total illegal behavior. An illustrative example is given. A convenient algorithm for computing the covariance matrix with missing data is proposed. arXiv:1707.04461v1 [math.OC]

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Section: Numerical Examplementioning

confidence: 99%

A statistical method for corrupt agents detection

Pichugin

Malafeyev

Rylow

et al. 2018

AIP Conference Proceedings

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“…A delay effect on the stability of the equilibrium point was studied in [5], [2], [3]. A number of mathematical models describing the interaction between agents based on the game theory was considered in [1,11,12,13,14,15,17,18]. The results on the business security, the impact of external factors on the growth of the business are given in [10,9].…”

Section: Introductionmentioning

confidence: 99%

Developing industries in cooperative interaction: equilibrium and stability in processes with lag

Kirjanen

Malafeyev

Redinskikh

2017

Stat., optim. inf. comput.

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A mathematical model of dynamic interaction between mining and processing industries is formalized and studied in the paper. The process of interaction is described by a system of two delay differential equations. The criterion for asymptotic stability of nontrivial equilibrium point is obtained when both industries co-work steadily. The problem is reduced to finding stability criterion for quasi-polynomial of second order. Time intervals between deliveries of raw materials which make it possible to preserve stable interaction between the two industries are found.

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“…Another less popular approach to modelling of physical processes is to use the game theory, which is mainly used in studies of socioeconomic systems and cooperation [11][12][13][14][15][16][17][18][19][20][21][22][23]. Examples of game theory application to the problems of physics can be found in [24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%