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CIKM
2010
Springer
15 years 1 months ago
Understanding retweeting behaviors in social networks
Retweeting is an important action (behavior) on Twitter, indicating the behavior that users re-post microblogs of their friends. While much work has been conducted for mining text...
Zi Yang, Jingyi Guo, Keke Cai, Jie Tang, Juanzi Li...
PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
15 years 26 days ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 25 days ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara
124
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PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
15 years 25 days ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
PKDD
2010
Springer
172views Data Mining» more  PKDD 2010»
15 years 25 days ago
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users
How long are the phone calls of mobile users? What are the chances of a call to end, given its current duration? Here we answer these questions by studying the call duration distri...
Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Fa...
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