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The corruption prevention model

Authors: Md. Asim Uddin Khan;

The corruption prevention model

Abstract

Abstract In SN , a public office bounded by fixed public officials of size N (N ≥ 1), we assume that the chance for any new case and chance for any dismissal in the time interval (t, t + δt) are αxyδt and βyδt, where we call α (α > 0) the rate of corruption, β (β > 0) the rate of dismissal, and x, y the number of uncorrupts and corrupts at time t (t > 0). We let P(x, y/t) be the probability that there are x uncorrupts and y corrupts at time t(t > 0). We call P(x, y/t) the state of corruption in SN at time i which one may use as policy guidelines. The quantity of interest P(x, y/t) is derived by an iterative technique. As means of achieving prevention we have selected the scale of action ρ = (β/α) ⇒ 1.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Top 10%
Average
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