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  Towards Time-aware Link Prediction in Evolving Social Networks

Tylenda, T., Angelova, R., & Bedathur, S. (2009). Towards Time-aware Link Prediction in Evolving Social Networks. In L. Giles, P. Mitra, I. Perisic, J. Yen, & H. Zhang (Eds.), Proceedings of the 3rd ACM Workshop on Social Network Mining and Analysis. New York, NY: ACM.

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 Urheber:
Tylenda, Tomasz1, Autor           
Angelova, Ralitsa1, Autor           
Bedathur, Srikanta1, Autor           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Zusammenfassung: Prediction of links - both new as well as recurring - in a social network representing interactions between individuals is an important problem. In the recent years, there is significant interest in methods that use only the graph structure to make predictions. However, most of them consider a single snapshot of the network as the input, neglecting an important aspect of these social networks viz., \emph{their evolution over time}. In this work, we investigate the value of incorporating the history information available on the interactions (or links) of the current social network state. Our results unequivocally show that time-stamps of past interactions significantly improve the prediction accuracy of new and recurrent links over rather sophisticated methods proposed recently. Furthermore, we introduce a novel testing method which is reflects the application of link prediction better than previous approaches.

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Sprache(n): eng - English
 Datum: 2009-07-242009
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 520415
DOI: 10.1145/1731011.1731020
Anderer: Local-ID: C1256DBF005F876D-818FECF002C66936C12575FD00685881-Tylenda2009
 Art des Abschluß: -

Veranstaltung

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Titel: 3rd ACM Workshop on Social Network Mining and Analysis
Veranstaltungsort: Paris, France
Start-/Enddatum: 2009-06-28 - 2009-06-28

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Titel: Proceedings of the 3rd ACM Workshop on Social Network Mining and Analysis
  Kurztitel : SNA-KDD 2006
Genre der Quelle: Konferenzband
 Urheber:
Giles, Lee1, Herausgeber
Mitra, Prasenjit1, Herausgeber
Perisic, Igor1, Herausgeber
Yen, John1, Herausgeber
Zhang, Haizheng1, Herausgeber
Affiliations:
1 External Organizations, ou_persistent22            
Ort, Verlag, Ausgabe: New York, NY : ACM
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: ISBN: 978-1-60558-676-2