Name
Title | ||
|---|---|---|
Mapping research topics using word-reference co-occurrences: A method and an exploratory case study |
Abstract | ||
|---|---|---|
Summary Mapping of science and technology can be done at different levels of aggregation, using a variety of methods. In this paper,
we propose a method in which title words are used as indicators for the content of a research topic, and cited references
are used as the context in which words get their meaning. Research topics are represented by sets of papers that are similar
in terms of these word-reference combinations. In this way we use words without neglecting differences and changes in their
meanings. The method has several advantages, such as high coverage of publications. As an illustration we apply the method
to produce knowledge maps of information science.
|
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s11192-006-0118-9 | Scientometrics |
Keywords | Field | DocType |
Information Retrieval,Citation Analysis,Research Front,Bibliographic Coupling,Exploratory Case Study | Data mining,Information mapping,Information retrieval,Computer science,Information science,Citation analysis,Artificial intelligence,Bibliographic coupling,Scientific method | Journal |
Volume | Issue | ISSN |
68 | 3 | 0138-9130 |
Citations | PageRank | References |
43 | 1.40 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Van den Besselaar | 1 | 619 | 86.09 |
| gaston heimeriks | 2 | 125 | 10.26 |