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Node and Edge features for learning:<br />
Node: Age, Gender, Degree<br />
Edge: Age of an edge, Communication, Profile<br />
visits, Co-tagged photos<br />
Baselines:<br />
Decision trees and logistic regression:<br />
Above features + 10 network features (PageRank,<br />
common friends)<br />
Evaluation:<br />
AUC and Precision at Top20<br />
12/6/2011 Jure Leskovec, <strong>Stanford</strong> CS224W: Social and Information Network Analysis, http://cs224w.stanford.edu 20