Learning to find topic experts in Twitter via different relations

• Main Authors: WEI, Wei, CONG, Gao, MIAO, Chunyan, ZHU, Feida, LI, Guohui
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Expert search; Graph-based ranking; List; Micro-blogging; Twitter; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/3201; https://ink.library.smu.edu.sg/context/sis_research/article/4202/viewcontent/Learning_to_find_topic_experts_in_Twitter_via_different_relations_afv.pdf
• Institution: Singapore Management University

Expert finding has become a hot topic along with the flourishing of social networks, such as micro-blogging services like Twitter. Finding experts in Twitter is an important problem because tweets from experts are valuable sources that carry rich information (e.g., trends) in various domains. Howeve...