Capturing Social Data Evolution Using Graph Clustering
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[1] A. Barabasi,et al. Quantifying social group evolution , 2007, Nature.
[2] Philip S. Yu,et al. Incremental tensor analysis: Theory and applications , 2008, TKDD.
[3] Philip S. Yu,et al. GraphScope: parameter-free mining of large time-evolving graphs , 2007, KDD '07.
[4] Yun Chi,et al. Blog Community Discovery and Evolution Based on Mutual Awareness Expansion , 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).
[5] Felix Jungermann,et al. Stream-based Community Discovery via Relational Hypergraph Factorization on Evolving Networks , 2010, LWA.
[6] Yihong Gong,et al. Incremental spectral clustering by efficiently updating the eigen-system , 2010, Pattern Recognit..
[7] Ruixuan Li,et al. Incremental K-clique clustering in dynamic social networks , 2012, Artificial Intelligence Review.
[8] Deepayan Chakrabarti,et al. Evolutionary clustering , 2006, KDD '06.
[9] Jimeng Sun,et al. MetaFac: community discovery via relational hypergraph factorization , 2009, KDD.
[10] Peter Mika,et al. Ontologies are us: A unified model of social networks and semantics , 2005, J. Web Semant..
[11] Philip S. Yu,et al. Proximity Tracking on Time-Evolving Bipartite Graphs , 2008, SDM.
[12] Huan Liu,et al. Identifying Evolving Groups in Dynamic Multimode Networks , 2012, IEEE Transactions on Knowledge and Data Engineering.
[13] Prasenjit Mitra,et al. Temporal and Information Flow Based Event Detection from Social Text Streams , 2007, AAAI.
[14] Zhengding Lu,et al. Community mining on dynamic weighted directed graphs , 2009, CIKM-CNIKM.
[15] Yun Chi,et al. Evolutionary spectral clustering by incorporating temporal smoothness , 2007, KDD '07.