2010 ModelingRelationshipStrengthinO

• (Xiang et al., 2010) ⇒ Rongjing Xiang, Jennifer Neville, and Monica Rogati. (2010). “Modeling Relationship Strength in Online Social Networks.” In: Proceedings of the 19th International Conference on World wide web. ISBN:978-1-60558-799-8 doi:10.1145/1772690.1772790

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• http://scholar.google.com/scholar?q=%222010%22+Modeling+Relationship+Strength+in+Online+Social+Networks
• http://dl.acm.org/citation.cfm?id=1772690.1772790&preflayout=flat#citedby

Quotes

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 ModelingRelationshipStrengthinO	Jennifer Neville Rongjing Xiang Monica Rogati			Modeling Relationship Strength in Online Social Networks				10.1145/1772690.1772790		2010