Composing Near-Optimal Expert Teams: A Trade-Off between Skills and Connectivity

Provided by: Springer Healthcare
Topic: Big Data
Format: PDF
Rapidly changing business requirements necessitate the adhoc composition of expert teams to handle complex business cases. Expert-centric properties such as skills, however, are insufficient to assemble an effective team. The given interaction structure determines to a large degree how well the experts can be expected to collaborate. This paper addresses the team composition problem which consists of expert interaction network extraction, skill profile creation, and ultimately team formation. The authors provide a heuristic for finding near-optimal teams that yield the best trade-off between skill coverage and team connectivity. Finally, they apply a real-world data set to demonstrate the applicability and benefits of their approach.

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