Community discovery from social media by low-rank matrix recovery

• Main Authors: ZHUANG, Jinfeng, TAO, Mei, HOI, Steven C. H., HUA, Xian-Sheng, ZHANG, Yongdong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Social networks; community discovery; low-rank matrix; social media; context information; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/2264; https://ink.library.smu.edu.sg/context/sis_research/article/3264/viewcontent/CommunityDiscoverySocialMediaLow_RankMatrixRecovery_2015_afv.pdf
• Institution: Singapore Management University

The pervasive usage and reach of social media have attracted a surge of attention in the multimedia research community. Community discovery from social media has therefore become an important yet challenging issue. However, due to the subjective generating process, the explicitly observed communitie...