Open Universiteit
   About DSpace Software Open Universiteit border=

DSpace at Open Universiteit >
a. Learning Networks & Learning Design >
1. LN: Publications and Preprints >

Please use this identifier to cite or link to this item:

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

Files in This Item:

File Description SizeFormat
Sie, Bitter-Rijpkema, Sloep - 2011 - What’s in it for me Recommendation of Peers in Networked Innovation.pdf226.5 kBAdobe PDFView/Open
View Statistics

This item is licensed under a Creative Commons License
Creative Commons

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! Copyright © 2003 - 2010 Open Universiteit - Feedback