Name
Abstract | ||
|---|---|---|
This paper studies mathematician Paul Erdös, one of the most famous academic co-authors and his large co-author network. K-means and Self-Organizing feature Map (SOM) algorithms are applied to study the network. First, the SOM algorithm is introduced to recognize the pattern area number, which can identify the sub-segment automatically and export the central point of each cluster as well as the weights. Taking the results as the initial input of the K-means algorithm to make the further clustering, the accurate clustering results are gained. Then search the largest weight node of each cluster and set it as the most influential researcher. Finally we compared the h-index of the most influential researcher with the corresponding weight node of the cluster, the results confirm that the algorithm is better than SOM and K-means algorithms when they are separately used. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/FSKD.2014.6980858 | FSKD |
Keywords | Field | DocType |
co-author networsk,pattern area number,weight,k-means,pattern clustering,som,som algorithms,h-index,academic coauthor networks,k-means algorithms,influential researcher,self-organising feature maps,self-organizing feature map algorithms | Pattern recognition,Computer science,Self,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gege Zhang | 1 | 0 | 0.34 |
| Wei-Xing Zhou | 2 | 206 | 15.05 |
| Yuanyuan Zhang | 3 | 121 | 11.56 |
| Xiao-Hui Hu | 4 | 10 | 5.55 |
| Yun Xue | 5 | 6 | 5.30 |
| jianping wang | 6 | 40 | 5.87 |
| Meihang Li | 7 | 8 | 3.83 |