
doi: 10.1007/11863878_39
A graph of Access Points can be used as a tool in a number of applications such as, clarification and better understanding of their semantics and inter-relations, query transformations, more precise query formulation, etc. We apply a procedure to create a graph of the Access Points, according to their subset relationship, based on the official semantics of the Bib-1 Access Points of the Z39.50 protocol. In our three-step method, we first construct the relationship graph of the Access Points by testing for subset relationship between any two Access Points, and assigning each Access Point a weight value designating the number of the Access Points, which are subsets to it. In the second step, we apply a topological sorting algorithm on the graph, and finally in the last step, we reject the redundant subset relationships of the Access Points.
| 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). | 4 | |
| 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). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
