
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.
| 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). | 8 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
