Go home now Header Background Image
Search
Submission Procedure
share: |
 
Follow us
 
 
 
 
Volume 17 / Issue 12

available in:   PDF (227 kB) PS (547 kB)
 
get:  
Similar Docs BibTeX   Write a comment
  
get:  
Links into Future
 
DOI:   10.3217/jucs-017-12-1659

 

What's in it for me? Recommendation of Peers in Networked Innovation

Rory L.L. Sie (Open Universiteit in the Netherlands, The Netherlands)

Marlies Bitter-Rijpkema (Open Universiteit in the Netherlands, The Netherlands)

Peter B. Sloep (Open Universiteit in the Netherlands, The Netherlands)

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: artificial intelligence, coalition formation, open innovation, recommender systems

Categories: H.1.1, H.1.2, I.6.5, I.6.6, K.4.3