Discovery and visualization of expertise in a scientific community

Authors:
Muhammad Tanvir Afzal;Atif Latif;Anwar Us Saeed;Philipp Sturm;Salman Aslam;Keith Andrews;Klaus Tochtermann;Hermann Maurer
Affiliations:
Graz University of Technology, Austria;Graz University of Technology, Austria;Graz University of Technology, Austria;Graz University of Technology, Austria;COMSATS Institute of Information Technology, Islamabad, Pakistan;Graz University of Technology, Austria;Graz University of Technology, Austria;Graz University of Technology, Austria
Venue:
Proceedings of the 7th International Conference on Frontiers of Information Technology
Year:
2009

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Abstract

In numerous contexts and environments, it is necessary to identify and assign (potential) experts to subject fields. In the context of an academic journal for computer science (J.UCS), papers and reviewers are classified using the ACM classification scheme. This paper describes a system to identify and present potential reviewers for each category from the entire body of paper's authors. The topical classification hierarchy is visualized as a hyperbolic tree and currently assigned reviewers are listed for a selected node (computer science category). In addition, a spiral visualization is used to overlay a ranked list of further potential reviewers (high-profile authors) around the currently selected category. This new interface eases the task of journal editors in finding and assigning reviewers. The system is also useful for users who want to find research collaborators in specific research areas.