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Knowledge and Information Systems
Published in: Knowledge and Information Systems 10/2020

09-07-2020 | Survey Paper

A systematic survey on collaborator finding systems in scientific social networks

Authors: Zahra Roozbahani, Jalal Rezaeenour, Hanif Emamgholizadeh, Amir Jalaly Bidgoly

Published in: Knowledge and Information Systems | Issue 10/2020

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Abstract

The increasing number of researchers and scientists participating in online communities has induced 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 an expert or a collaborator finding and tacking a narrower point of view. For instance, some of these papers have particularly considered a collaborator finding problem. New scientific social networks, such as ResearchGate, Academia, Mendeley, 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 an expert and a collaborator finding in scientific and academic social networks in a systematic manner. Next, collaborator finding facilities in online scientific social networks are evaluated. Finally, the defects and open challenges of the models are looked into and some propositions for the future works are presented.
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Footnotes
1
Although a bit different, hereafter we will use academic and scientific words interchangeably in this paper.
 
6
Kasetsart University Research Development Institute.
 
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Metadata
Title
A systematic survey on collaborator finding systems in scientific social networks
Authors
Zahra Roozbahani
Jalal Rezaeenour
Hanif Emamgholizadeh
Amir Jalaly Bidgoly
Publication date
09-07-2020
Publisher
Springer London
Published in
Knowledge and Information Systems / Issue 10/2020
Print ISSN: 0219-1377
Electronic ISSN: 0219-3116
DOI
https://doi.org/10.1007/s10115-020-01483-y

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