Information Processing and Management: an International Journal
A review of journal coverage overlap with an extension to the definition of overlap
Journal of the American Society for Information Science
Information Retrieval
Information Retrieval: Algorithms and Heuristics
Information Retrieval: Algorithms and Heuristics
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Overlap in bibliographic databases
Journal of the American Society for Information Science and Technology
Information Processing and Management: an International Journal
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Properties of the n-overlap vector and n-overlap similarity theory: Research Articles
Journal of the American Society for Information Science and Technology
| Hi-index | 0.00 |
In measuring the overlap between two sets A and B (e.g. libraries, databases) one is obliged to calculate the overlap O(A|B) of A with respect to B (i.e. the fraction of elements of B that are also in A) and of O(B|A) of B with respect to A (i.e. the fraction of elements in A that are also in B). Theoretically this requires two samples. In this paper we explain that one sample can suffice to determine confidence intervals for both O(A|B) and O(B|A). The paper closes with the example of measuring the overlap between the secondary sources in mathematics MathSciNet and Zentralblatt MATH and with a remark on the estimation of the Jaccard index.