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KDD
2010
ACM
263views Data Mining» more  KDD 2010»
13 years 9 months ago
Social action tracking via noise tolerant time-varying factor graphs
Users’ behaviors (actions) in a social network are influenced by various factors such as personal interests, social influence, and global trends. However, few publications sys...
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengj...
PVLDB
2010
152views more  PVLDB 2010»
13 years 4 months ago
k-Nearest Neighbors in Uncertain Graphs
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...
WAW
2010
Springer
235views Algorithms» more  WAW 2010»
13 years 3 months ago
Multiplicative Attribute Graph Model of Real-World Networks
Large scale real-world network data such as social and information networks are ubiquitous. The study of such social and information networks seeks to find patterns and explain th...
Myunghwan Kim, Jure Leskovec
WAW
2007
Springer
162views Algorithms» more  WAW 2007»
13 years 12 months ago
Random Dot Product Graph Models for Social Networks
Inspired by the recent interest in combining geometry with random graph models, we explore in this paper two generalizations of the random dot product graph model proposed by Kraet...
Stephen J. Young, Edward R. Scheinerman
SOCIALCOM
2010
13 years 3 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang