
In this chapter we will focus on the rules of aggregation hierarchies in analysis dimensions of a cube. We give an overview of the related works on the basic concepts of the different types of aggregation hierarchies. We then discuss the hierarchies from two different points of view: mapping between domain values and hierarchical structures. In relation to them, we introduce the characterization of some OLAP operators on hierarchies and give a set of operators that concern the change in the hierarchy structure. Finally, we propose an enlargement of the operator set concerning hierarchies.
| 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 |
