
doi: 10.1108/eb026512
This is a description of the first stage of an attempt to improve a thesaurus by providing it with new terms derived by computer analysis of semantic proximity between concepts from a large file of 20,000 documents. At the first stage the semantic proximity between concept and core words was established on the level of a set of higher complexity. This set is defined when making the qualitative and quantitative choice of the concepts capable of being grouped into classes. The second stage will be the classification of terms belonging to that coherent set by clustering.
| 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). | 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). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
