Constructing Global Researchers Network Using Google Scholar Profiles for Collaborator Recommendation Systems

Researchers like to collaborate with other researchers to share their knowledge, experience, and resources with each other. By selecting appropriate collaborators researchers can obtain accurate output and they can publish more papers with high quality. They can get higher recognition within their research community. However, selecting appropriate collaborators is a challenging task. Thus, researchers proposed collaborator recommendation systems (CRS) to address that challenge. A network-based recommendation system is one type of CRS. Constructing an effective network is very important in the CRS. Existing network constructing approaches used co-author lists or publications to generate the network. However, the method is not suitable for some researchers like junior researchers and undergraduate students due to a lack of co-authors and publications. In this paper, we propose Google Scholar-based researchers network constructing approach. Common coauthors, the similarity of the area of interests, citation rate, and several co-authored publications between two researchers are extracted from GS to construct the network. The empirical work of our prototype system shows the efficacy of the technique presented.