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

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 Abstract: 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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Language(s): eng - English
 Dates: 2009-07-242009
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520415
DOI: 10.1145/1731011.1731020
Other: Local-ID: C1256DBF005F876D-818FECF002C66936C12575FD00685881-Tylenda2009
 Degree: -

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Title: 3rd ACM Workshop on Social Network Mining and Analysis
Place of Event: Paris, France
Start-/End Date: 2009-06-28 - 2009-06-28

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Title: Proceedings of the 3rd ACM Workshop on Social Network Mining and Analysis
  Abbreviation : SNA-KDD 2006
Source Genre: Proceedings
 Creator(s):
Giles, Lee1, Editor
Mitra, Prasenjit1, Editor
Perisic, Igor1, Editor
Yen, John1, Editor
Zhang, Haizheng1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISBN: 978-1-60558-676-2