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- 1000 creator jennifer-neville.
- 1000 creator monica-rogati.
- 1000 creator rongjing-xiang.
- 1000 type InProceedings.
- 1000 label "Modeling Relationship Strength in Online Social Network".
- 1000 sameAs 1000.
- 1000 abstract "Previous work analyzing social networks has mainly focused on binary friendship relations. However, in online social networks the low cost of link formation can lead to networks with heterogeneous relationship strengths (e.g., acquaintances and best friends mixed together). In this case, the binary friendship indicator provides only a coarse representation of relationship information. In this work, we develop an unsupervised model to estimate relationship strength from interaction activity (e.g., communication, tagging) and user similarity. More specifically, we formulate a link-based latent variable model, along with a coordinate ascent optimization procedure for the inference. We evaluate our approach on real-world data from Facebook and LinkedIn, showing that the estimated link weights result in higher autocorrelation and lead to improved classification accuracy.".
- 1000 hasAuthorList authorList.
- 1000 isPartOf proceedings.
- 1000 keyword "Models for social networks".
- 1000 keyword "their evolution".
- 1000 title "Modeling Relationship Strength in Online Social Network".