Context-aware nearest neighbor query on social networks

  • Authors:
  • Yazhe Wang;Baihua Zheng

  • Affiliations:
  • Singapore Management University;Singapore Management University

  • Venue:
  • SocInfo'11 Proceedings of the Third international conference on Social informatics
  • Year:
  • 2011

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Abstract

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 a hyper-graph based index structure to support approximated CANN search efficiently.