Abstract
We show how automatically extracted citations in historical corpora can be used to measure the direct and indirect influence of authors on each other. These measures can in turn be used to determine an author's overall prominence in the corpus and to identify distinct schools of thought. We apply our methods to two major historical corpora. Using scholarly consensus as a gold standard, we demonstrate empirically the superiority of indirect influence over direct influence as a basis for various measures of authorial impact.
| Original language | English |
|---|---|
| Pages (from-to) | 2138-2144 |
| Number of pages | 7 |
| Journal | Journal of the Association for Information Science and Technology |
| Volume | 65 |
| Issue number | 10 |
| DOIs | |
| State | Published - 1 Oct 2014 |
Bibliographical note
Publisher Copyright:© 2014 ASIS&T.
Keywords
- knowledge