Conference proceeding
A Referral Approach to Finding Medical Informatics Reviewers
2009 INTERNATIONAL CONFERENCE ON NETWORK-BASED INFORMATION SYSTEMS, pp 194-199
01 Jan 2009
Abstract
We proposed and investigated a referral approach to finding experts in distributed networked environments. An expert finding task, namely, finding "good" medical informatics reviewers in peer-review processes, was used in an agent-based simulation environment to evaluate the effectiveness, efficiency, and scalability of the proposed model. Experiments on a coauthorship network of 181 peers showed that the model based on topical relevance cues was able to identify experts within a very short referral chain and largely outperformed random walks. Applying heuristics to rewire the connections and to constrain the use of remote neighbors showed large improvement on efficiency and provided a better network underpinning for finding shortcuts to experts. The study showed results consistent with previous research on navigation in small worlds and focused on IR applications with richer dimensions of complexity.
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1 citations in Scopus
Details
- Title
- A Referral Approach to Finding Medical Informatics Reviewers
- Creators
- Weimao Ke - University of North Carolina at Chapel HillJaved Mostafa - University of North Carolina at Chapel HillIEEE
- Publication Details
- 2009 INTERNATIONAL CONFERENCE ON NETWORK-BASED INFORMATION SYSTEMS, pp 194-199
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000277210700030
- Scopus ID
- 2-s2.0-74549189412
- Other Identifier
- 991020546417504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic