SLR: A scalable latent role model for attribute completion and tie prediction in social networks

• Main Authors: LIAO, Lizi, HO, Qirong, JIANG, Jing, LIM, Ee-peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Predictive models; Probabilistic logic; Scalability; Algorithm design and analysis; Facebook; Patents; Digital Communications and Networking
• Online Access: https://ink.library.smu.edu.sg/sis_research/7576; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=8579&context=sis_research
• Institution: Singapore Management University

Social networks are an important class of networks that span a wide variety of media, ranging from social websites such as Facebook and Google Plus, citation networks of academic papers and patents, caller networks in telecommunications, and hyperlinked document collections such as Wikipedia — to na...