Name
Abstract | ||
|---|---|---|
In this paper we review two well-known citation methods to find relatedness between scientific papers: co-citation and bibliographic coupling. We propose a practical method to estimate the co-citation relatedness using the Google search engine. We call this method Web co-citation. We conducted experiments on a collection of scientific papers to compare the performances of different methods. The experimental results show that our approach, despite its simplicity, is efficient in discovering the relatedness between scientific papers. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72575-6_55 | ADVANCES IN INTELLIGENT WEB MASTERING |
Keywords | Field | DocType |
search engine | Data mining,World Wide Web,Search engine,Information retrieval,Computer science,Citation,Bibliographic coupling,Co-citation | Conference |
Volume | ISSN | Citations |
43 | 1615-3871 | 1 |
PageRank | References | Authors |
0.37 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thanh-Trung Van | 1 | 8 | 2.55 |
| Michel Beigbeder | 2 | 72 | 23.49 |