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CIKM
2010
Springer
13 years 6 months ago
Predicting product adoption in large-scale social networks
Online social networks offer opportunities to analyze user behavior and social connectivity and leverage resulting insights for effective online advertising. We study the adopti...
Rushi Bhatt, Vineet Chaoji, Rajesh Parekh
ICDCS
2008
IEEE
14 years 2 months ago
Enabling Accurate Node Control in Randomized Duty Cycling Networks
— In this paper, we propose a novel duty cycling algorithm for large-scale dense wireless sensor networks. The proposed algorithm is based on a social behavior of nodes in the se...
Kang-Won Lee, Vasileios Pappas, Asser N. Tantawi
CIKM
2010
Springer
13 years 5 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...
ACSAC
2010
IEEE
13 years 5 months ago
Detecting spammers on social networks
Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, M...
Gianluca Stringhini, Christopher Kruegel, Giovanni...
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 3 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...