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Title: What's in it for me? Recommendation of Peers in Networked Innovation
Authors: Sie, Rory
Bitter-Rijpkema, Marlies
Sloep, Peter
Keywords: open innovation
networked innovation
artificial intelligence
recommender system
coalition formation
Issue Date: 26-Aug-2011
Abstract: Several studies have shown that connecting to people in other networks foster creativity and innovation. However, it is often difficult to tell what the prospective value of such alliances is. Cooperative game theory offers an a priori estimation of the value of future collaborations. We present an agent-based social simulation approach to recommending valuable peers in networked innovation. Results indicate that power as such does not lead to a winning coalition in networked innovation. The recommendation proved to be successful for low-strength agents, which connected to high-strength agents in their network. Future work includes tests in real-life and other recommendation strategies.
Description: Sie R. L. L., Bitter-Rijpkema, M., & Sloep, P. B. (2011). What's in it for me? Recommendation of Peers in Networked Innovation. Journal of Universal Computer Science, 17(12), 1659-1672.
Appears in Collections:1. LN: Publications and Preprints

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