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    Using time-sensitive rooted PageRank to detect hierarchical social relationships

    Jaber, Mohammad and Papapetrou, Panagiotis and Helmer, Sven and Wood, Peter T. (2014) Using time-sensitive rooted PageRank to detect hierarchical social relationships. In: Blockeel, H. and van Leeuwen, M. and Vinciotti, V. (eds.) Advances in Intelligent Data Analysis XIII - 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 - November 1, 2014. Proceedings. Lecture Notes in Computer Science 8819. New York, U.S.: Springer, pp. 143-154. ISBN 9783319125701.

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    Abstract

    We study the problem of detecting hierarchical ties in a social network by exploiting the interaction patterns between the actors (members) involved in the network. Motivated by earlier work using a rank-based approach, i.e., Rooted-PageRank, we introduce a novel time-sensitive method, called T-RPR, that captures and exploits the dynamics and evolution of the interaction patterns in the network in order to identify the underlying hierarchical ties. Experiments on two real datasets demonstrate the performance of T-RPR in terms of recall and show its superiority over a recent competitor method.

    Metadata

    Item Type: Book Section
    Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-12571-8”
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Peter Wood
    Date Deposited: 11 Nov 2014 09:45
    Last Modified: 02 Dec 2016 13:26
    URI: http://eprints.bbk.ac.uk/id/eprint/10940

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