A systematic survey on collaborator finding systems in scientific social networks.

Zahra Roozbahani, Jalal Rezaeenour, Hanif Emamgholizadeh, Amir Jalali Bidgoly.

Increasing number of researchers and scientists participating in online communities has incurred big challenges for users who are looking for researchers who are interested, as a result, finding potential collaborators among the huge amount of online information is going to be even much more important in the future. Collaborator recommendation is a kind of expert recommendation in scientific fields. A number of published papers have proposed new algorithms for expert or collaborator finding and tacking a narrower point of view, for instance, some of these papers have particularly considered collaborator finding problem. New scientific social networks, such as, ResearchGate, Academia, Mendely and so on, have provided some facilities to their users for finding new collaborators. In this paper, first of all, we review proposed models for expert and collaborator finding in scientific and academic social networks, next, collaborator finding facilities in online scientific social networks are evaluated, finally, by going over the defects and shortcomings of reviewed models a few solutions for eliminating the drawbacks are presented.

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