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The Epidemics of Corruption, arXiv
 









Abstract: We study corruption as a generalized epidemic process on the graph of
social relationships. The main difference to classical epidemic processes is the
strong nonlinear dependence of the transmission probability on the local density
of corruption and the mean field influence of the overall corruption in the
society. Network clustering and the degree-degree correlation play an essential
role in corruption dynamics. We discuss phase transitions, the influence of the
graph structure and the implications for epidemic control. Structural and
dynamical arguments are given why strongly hierarchically organized societies
like systems with dictatorial tendency are more vulnerable to corruption than
democracies. A similar type of modelling can be applied to other social
contagion spreading processes like opinion formation, doping usage, social
disorders or innovation dynamics.
Source: The Epidemics of Corruption[ http://arXiv.org/abs/physics/0505031 ], Ph.
Blanchard, A. Krueger, T. Krueger, P. Martin, DOI: physics/0505031, arXiv,
2005/05/04

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