Discovering hidden topical hubs and authorities in online social networks

• Main Authors: LEE, Roy Ka-Wei, HOANG, Tuan-Anh, LIM, Ee-Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: HITS algorithms; Link analysis; On-line social networks; Real-world datasets; State of the art; State-of-the-art methods; Topic model; Topic Modeling; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/4081; https://ink.library.smu.edu.sg/context/sis_research/article/5084/viewcontent/Discovering_hidden_topical_hubs_afv_2018.pdf
• Institution: Singapore Management University

Finding influential users in online social networks is an important problem with many possible useful applications. HITS and other link analysis methods, in particular, have been often used to identify hub and authority users in web graphs and online social networks. These works, however, have not c...