Name
Title | ||
|---|---|---|
Using heterogeneous patent network features to rank and discover influential inventors. |
Abstract | ||
|---|---|---|
Most classic network entity sorting algorithms are implemented in a homogeneous network, and they are not applicable to a heterogeneous network. Registered patent history data denotes the innovations and the achievements in different research fields. In this paper, we present an iteration algorithm called inventor-ranking, to sort the influences of patent inventors in heterogeneous networks constructed based on their patent data. This approach is a flexible rule-based method, making full use of the features of network topology. We sort the inventors and patents by a set of rules, and the algorithm iterates continuously until it meets a certain convergence condition. We also give a detailed analysis of influential inventor’s interesting topics using a latent Dirichlet allocation (LDA) model. Compared with the traditional methods such as PageRank, our approach takes full advantage of the information in the heterogeneous network, including the relationship between inventors and the relationship between the inventor and the patent. Experimental results show that our method can effectively identify the inventors with high influence in patent data, and that it converges faster than PageRank. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1631/FITEE.1400394 | Frontiers of IT & EE |
Keywords | Field | DocType |
Heterogeneous patent network, Influence, Rule-based ranking, TP391 | Convergence (routing),Data mining,PageRank,Latent Dirichlet allocation,Computer science,sort,Network topology,Heterogeneous network,Iterated function,Sorting algorithm | Journal |
Volume | Issue | ISSN |
16 | 7 | 2095-9230 |
Citations | PageRank | References |
4 | 0.42 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong-ping Du | 1 | 9 | 3.22 |
| Changqing Yao | 2 | 22 | 6.71 |
| Nan Li | 3 | 4 | 0.42 |