Context-Aware Nearest Neighbor Query on Social Networks

• Main Authors: WANG, Yazhe, ZHENG, Baihua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: context-aware nearest neighbor search; social networks; network analytics; Communication Technology and New Media; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1412; https://ink.library.smu.edu.sg/context/sis_research/article/2411/viewcontent/Wang_Zheng_2011_Context_AwareNearestNeighborQuery_afv.pdf
• Institution: Singapore Management University

Social networking has grown rapidly over the last few years, and social networks contain a huge amount of content. However, it can be not easy to navigate the social networks to find specific information. In this paper, we define a new type of queries, namely context-aware nearest neighbor (CANN) search over social network to retrieve the nearest node to the query node that matches the context specified. CANN considers both the structure of the social network, and the profile information of the nodes. We design ahyper-graph based index structure to support approximated CANN search efficiently.