title: Exploiting Publication Contents and Collaboration Networks for Collaborator Recommendation.
abstract: Thanks to the proliferation of online social networks, it has become conventional for researchers to communicate and collaborate with each other. Meanwhile, one critical challenge arises, that is, how to find the most relevant and potential collaborators for each researcher? In this work, we propose a novel collaborator recommendation model called CCRec, which combines the information on researchers' publications and collaboration network to generate better recommendation. In order to effectively identify the most potential collaborators for researchers, we adopt a topic clustering model to identify the academic domains, as well as a random walk model to compute researchers' feature vectors. Using DBLP datasets, we conduct benchmarking experiments to examine the performance of CCRec. The experimental results show that CCRec outperforms other state-of-the-art methods in terms of precision, recall and F1 score.
authors: School of Software, Dalian University of Technology, Dalian, China.
authors: Xiangjie
authors: X
authors: Kong
authors: School of Software, Dalian University of Technology, Dalian, China.
authors: Huizhen
authors: H
authors: Jiang
authors: School of Software, Dalian University of Technology, Dalian, China.
authors: Zhuo
authors: Z
authors: Yang
authors: School of Software, Dalian University of Technology, Dalian, China.
authors: Zhenzhen
authors: Z
authors: Xu
authors: School of Software, Dalian University of Technology, Dalian, China.
authors: Feng
authors: F
authors: Xia
authors: Riyadh Community College, King Saud University, Riyadh, Saudi Arabia.|Mathematics and Computer Science Department, Faculty of Science, Menoufia University, Shebeen El-Kom, Menoufia, Egypt.
authors: Amr
authors: A
authors: Tolba
mesh_terms: D000465:Algorithms; D001634:Bibliographies as Topic; D016000:Cluster Analysis; D003299:Cooperative Behavior; D057225:Data Mining; D006801:Humans; D020407:Internet; D008962:Models, Theoretical; D012693:Serial Publications; D012944:Social Support