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CIKM
2008
Springer

Summarization of social activity over time: people, actions and concepts in dynamic networks

10 years 1 months ago
Summarization of social activity over time: people, actions and concepts in dynamic networks
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have diverse social interactions and exhibit temporal dynamics. In this work we construct summarization by extracting activity themes. We propose a novel unified temporal multi-graph framework for extracting activity themes over time. We use non-negative matrix factorization (NMF) approach to derive two interrelated latent spaces for users and concepts. Activity themes are extracted from the derived latent spaces to construct group activity summary. Experiments on real-world Flickr datasets demonstrate that our technique outperforms baseline algorithms such as LSI, and is additionally able to extract temporally representative activities to construct meaningful group activity summary. Categories and Subject Descriptors: H.3 INFORMATION STORAGE AND RETRIEVAL; H.3.3 Information Search and Retrieval; H.2 DATABASE MANAGEME...
Yu-Ru Lin, Hari Sundaram, Aisling Kelliher
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where CIKM
Authors Yu-Ru Lin, Hari Sundaram, Aisling Kelliher
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