Name
Abstract | ||
|---|---|---|
Using latent semantic analysis on the full text of scientific articles, we measure the distance between 36 million citing/cited article pairs and chart changes in citation proximity over time. The analysis shows that the mean distance between citing and cited articles has steadily increased since 1990. This demonstrates that current scholars are more likely to cite distantly related research than their peers of 20 years ago who tended to cite more proximate work. These changes coincide with the introduction of new information technologies like the Internet, and the increasing popularity of interdisciplinary and multidisciplinary research. The \"citation distance\" measure shows promise in improving our understanding of the evolution of knowledge. It also offers a method to add nuance to scholarly impact measures by assessing the extent to which an article influences proximate or distant future work. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2872518.2890515 | WWW (Companion Volume) |
Field | DocType | Citations |
Data mining,World Wide Web,Multidisciplinary approach,Information technology,Computer science,Citation,Popularity,Citation analysis,Chart,Latent semantic analysis,The Internet | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryan Whalen | 1 | 0 | 0.34 |
| Yun Huang | 2 | 118 | 11.29 |
| Craig Tanis | 3 | 0 | 0.34 |
| Anup Sawant | 4 | 0 | 0.34 |
| Brian Uzzi | 5 | 240 | 33.46 |
| Noshir S. Contractor | 6 | 507 | 61.05 |