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ICASSP
2010
IEEE
15 years 1 months ago
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks
Co-clustering can be viewed as a two-way (bilinear) factorization of a large data matrix into dense/uniform and possibly overlapping submatrix factors (co-clusters). This combinat...
Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Ni...
DEBU
2010
265views more  DEBU 2010»
15 years 1 months ago
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory
People travel in the real world and leave their location history in a form of trajectories. These trajectories do not only connect locations in the physical world but also bridge ...
Yu Zheng, Xing Xie, Wei-Ying Ma
DATESO
2010
148views Database» more  DATESO 2010»
14 years 11 months ago
Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
Gamila Obadi, Pavla Drázdilová, Jan ...
ICASSP
2011
IEEE
14 years 5 months ago
Time-evolving modeling of social networks
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
Eric Wang, Jorge Silva, Rebecca Willett, Lawrence ...
AINA
2009
IEEE
15 years 8 months ago
Social Network-Based Trust for Agent-Based Services
— In service-oriented environments, reputation-based service selection is gaining increasing prominence. We propose in this paper a social network-based approach to model and ana...
Jamal Bentahar, Babak Khosravifar, Maziar Gomrokch...