Finding Potential Research Collaborators in Four Degrees of Separation
This paper proposed a methodology for finding the potential research collaborators based on structural approach underlying co-authorship network and semantic approach extends from author-topic model. We proposed the valuable features for identifying the closeness between researchers in coauthorship network. We also proved that using the combination between structural approach and semantic approach is work well. Our methodology able to suggest the researchers who appear within the four degrees of separation from the specific researcher who have never collaborated together in the past periods. The experimental results are discussed in the various aspects, for instance, top-n retrieved researchers and researchers community. The results show that our proposed idea is the applicable method used for collaborator suggestion task.
co-authorship network author-topic modelgraph mining digital library research collaboration social network analysis information retrieval
Paweena Chaiwanarom Ryutaro Ichise Chidchanok Lursinsap
Advanced Virtual and Intelligent Computing (AVIC) Center Department of Mathematics, Chulalongkorn Un Principles of Informatics Research Division, National Institute of Informatics 2-1-2 Hitotsubashi, C Advanced Virtual and Intelligent Computing (AVIC) Center Department of Mathematics, Chulalongkorn Un
国际会议
6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)
重庆
英文
399-410
2010-11-19（万方平台首次上网日期，不代表论文的发表时间）