Summarizing dynamic Social Tagging Systems

作者：

Highlights：

• We propose a method for summarizing an evolving multi-modal social network.

• The method offers an accurate overview of entities staying representative in time.

• We report on experiments with real data from the Bibsonomy social tagging system.

• Our results show how the method deals with the dynamics of social networks.

摘要

•We propose a method for summarizing an evolving multi-modal social network.•The method offers an accurate overview of entities staying representative in time.•We report on experiments with real data from the Bibsonomy social tagging system.•Our results show how the method deals with the dynamics of social networks.

论文关键词：Dynamic Social Tagging Systems,Social network summarization,Folksonomy,Clustering,Tensor-based clustering

论文评审过程：Available online 8 August 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.071