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.
We would like to acknowledge that this research/project was carried out at the Living Analytics Research Centre (LARC), sponsored by Singapore National Research Foundation and Interactive & Digital Media Programme Office, Media Development Authority.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cohen, E.: Fast algorithms for constructing t-spanners and paths with stretch t. SIAM J. Comput. 28, 210–236 (1999)
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numerische Mathematik 1(1), 269–271 (1959)
Erwig, M.: The graph Voronoi diagram with applications. Networks 36(3), 156–163 (2000)
Gaboille, C., Peleg, D., Pérennes, S., Raz, R.: Distance labeling in graphs. Journal of Algorithms 53(1), 85–112 (2004)
Goldberg, A.V., Harrelson, C.: Computing the shortest path: A search meets graph theory. In: SODA, pp. 156–165 (2005)
Gutman, R.: Reach-based routing: A new approach to shortest path algorithms optimized for road networks. In: ALENEX, pp. 100–111 (2004)
He, H., Wang, H., Yang, J., Yu, P.S.: Blinks: ranked keyword searches on graphs. In: SIGMOD, pp. 305–316 (2007)
Hu, H., Lee, D.L., Lee, V.C.S.: Distance indexing on road networks. In: VLDB, pp. 894–905 (2006)
Hulgeri, A., Nakhe, C.: Keyword searching and browsing in databases using banks. In: ICDE, pp. 431–443 (2002)
Jing, N., Huang, Y.-W., Rundensteiner, E.A.: Hierarchical encoded path views for path query processing: An optimal model and its performance evaluation. TKDE 10(3), 409–432 (1998)
Jung, S., Pramanik, S.: An efficient path computation model for hierarchically structured topographical road maps. TKDE 14(5), 1029–1046 (2002)
Kacholia, V., Pandit, S., Chakrabarti, S., Sudarshan, S., Desai, R., Karambelkar, H.: Bidirectional expansion for keyword search on graph databases. In: VLDB, pp. 505–516 (2005)
Lee, D., Leng, C.: Partitioned signature file: Design considerations and performance evaluation. TOIS 7(2), 158–180 (1989)
Lee, D.L., Kim, Y.M., Patel, G.: Efficient signature file methods for text retrieval. TKDE 7(3), 423–435 (1995)
Leng, C., Lee, D.: Optimal weight assignment for signature generation. TODS 17(2), 346–373 (1992)
Li, G., Feng, J., Chin Ooi, B., Wang, J., Zhou, L.: An effective 3-in-1 keyword search method over heterogeneous data sources. Inf. Syst. 36, 248–266 (2011)
Burcher, N.: http://www.nickburcher.com/2010/03/facebook-usage-statistics-march-2010.html
Peleg, D.: Proximity-preserving labeling schemes. J. Graph Theory 33, 167–176 (2000)
Samet, H., Sankaranarayanan, J., Alborzi, H.: Scalable network distance browsing in spatial databases. In: SIGMOD, pp. 43–54 (2008)
Wei, F.: TEDI: efficient shortest path query answering on graphs. In: SIGMOD, pp. 99–110 (2010)
Xiao, Y., Wu, W., Pei, J., Wang, W., He, Z.: Efficiently indexing shortest paths by exploiting symmetry in graphs. In: EDBT, pp. 493–504 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, Y., Zheng, B. (2011). Context-Aware Nearest Neighbor Query on Social Networks. In: Datta, A., Shulman, S., Zheng, B., Lin, SD., Sun, A., Lim, EP. (eds) Social Informatics. SocInfo 2011. Lecture Notes in Computer Science, vol 6984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24704-0_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-24704-0_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24703-3
Online ISBN: 978-3-642-24704-0
eBook Packages: Computer ScienceComputer Science (R0)