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Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2014 (engelsk)Inngår i: Advances in Intelligent Data Analysis XIII, Berlin: Springer Berlin/Heidelberg, 2014, 143-154 s.Konferansepaper, Publicerat paper (Fagfellevurdert)
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

sted, utgiver, år, opplag, sider
Berlin: Springer Berlin/Heidelberg, 2014. 143-154 s.
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8819
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-108663DOI: 10.1007/978-3-319-12571-8_13ISI: 000350861600013ISBN: 978-3-319-12570-1 (tryckt)ISBN: 978-3-319-12571- OAI: oai:DiVA.org:su-108663DiVA: diva2:759856
Konferanse
13th International Symposium on Intelligent Data Analysis (IDA), Leuven, Belgium, Oct 30-Nov 01, 2014
Tilgjengelig fra: 2014-10-31 Laget: 2014-10-31 Sist oppdatert: 2015-04-23bibliografisk kontrollert

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