given network / signed networks / social media / e-commerce sites / online review / diverse networks / unsigned social networks / supervised machine learning algorithm / directed signed networks / real-world networks / online social networks / social networks / real world networks / social network / link prediction algorithm / link prediction algorithms / /
Organization
Cambridge University / National Science Foundation / US Federal Reserve / DOD Army / American Society for Information Science and Technology / /
Exploiting Longer Cycles for Link Prediction in Signed Networks ∗ Kai-Yang Chiang UT Austin