
This paper considers a wide class of shortest path problems in acyclic digraphs, where path lengths are given by the multiplicatively additive value. The problems are solved through bynamic programming, [4]. The bynamic programming formulation for the class has a system of two interrelated recursive equations. By solving the system, simultaneously both shortest and longest path lengths can be found. Two types of sequences which converge to the solution are proposed. By use of a directed network, two actual examples of finding both shortest and longest paths are illustrated.
| citations 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). | 3 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
