Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations

Koh, Y. S., Dobble, G.

    Collaborative research is increasingly important and popular in academic circles. However for young researchers identifying new research collaborators to form joint research and analyzing the level of cooperation of the current partners can be a very complex task. Thus recommendation of new collaborations would be important for young researchers. This paper presents a new approach to recommend collaborators in an academic social network using the co-authorship network. We propose a weighted indirect rule mining approach using a novel weighting mechanism called sociability.
Cite as: Koh, Y. S., Dobble, G. (2012). Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations. In Proc. Data Mining and Analytics 2012 (AusDM 2012) Sydney, Australia. CRPIT, 134. Zhao, Y., Li, J. , Kennedy, P.J. and Christen, P. Eds., ACS. 167 - 174
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