Name
Abstract | ||
|---|---|---|
Centrality measures such as degree centrality have been utilized to identify influential and important patents in a citation network. However, no existing centrality measures take into consideration information from the change of the similarity matrix. This paper presents a new centrality measure based on the change of a node similarity matrix. The proposed approach gives more intuitive understand... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TASE.2012.2210214 | IEEE Transactions on Automation Science and Engineering |
Keywords | Field | DocType |
Patents,Matrix decomposition,Singular value decomposition,Approximation methods | Singular value decomposition,Mathematical optimization,Singular value,Computer science,Matrix (mathematics),Centrality,Matrix norm,Betweenness centrality,Katz centrality,Computation | Journal |
Volume | Issue | ISSN |
9 | 4 | 1545-5955 |
Citations | PageRank | References |
7 | 0.56 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dohyun Kim | 1 | 107 | 16.96 |
| Bangrae Lee | 2 | 37 | 2.89 |
| Hyuck Jai Lee | 3 | 38 | 3.05 |
| Sang Pil Lee | 4 | 9 | 0.93 |
| Yeongho Moon | 5 | 12 | 1.98 |
| Myong K Jeong | 6 | 424 | 33.06 |