JUCS - Journal of Universal Computer Science 17(12): 1659-1672, doi: 10.3217/jucs-017-12-1659
What's in it for me? Recommendation of Peers in Networked Innovation
Rory L.L. Sie‡, Marlies Bitter-Rijpkema‡, Peter B. Sloep§‡ Open Universiteit in the Netherlands, Heerlen, Netherlands§ Open Universiteit Nederland, Heerlen, Netherlands
Corresponding author: Rory Sie ( rory.sie@ou.nl ) © Rory Sie, Marlies Bitter-Rijpkema, Peter Sloep. This article is freely available under the J.UCS Open Content License. Citation:
Sie RL.L, Bitter-Rijpkema M, Sloep PB (2011) What's in it for me? Recommendation of Peers in Networked Innovation. JUCS - Journal of Universal Computer Science 17(12): 1659-1672. https://doi.org/10.3217/jucs-017-12-1659 |  |
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.
Keywords
open innovation, artificial intelligence, recommender systems, coalition formation