Context-Aware Nearest Neighbor Query on Social Networks

Context-Aware Nearest Neighbor Query on Social Networks

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) se...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English
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Summary: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.

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