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Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: Advances in Intelligent Data Analysis XIII, Berlin: Springer Berlin/Heidelberg, 2014, 143-154 p.Conference paper (Refereed)
Abstract [en]

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

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2014. 143-154 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 8819
National Category
Information Systems Information Systems, Social aspects
Research subject
Computer and Systems Sciences
URN: urn:nbn:se:su:diva-108663DOI: 10.1007/978-3-319-12571-8_13ISI: 000350861600013ISBN: 978-3-319-12570-1ISBN: 978-3-319-12571-OAI: diva2:759856
13th International Symposium on Intelligent Data Analysis (IDA), Leuven, Belgium, Oct 30-Nov 01, 2014
Available from: 2014-10-31 Created: 2014-10-31 Last updated: 2015-04-23Bibliographically approved

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Papapetrou, Panagiotis
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ReferencesLink to record
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