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» Social Influence Models Based on Starbucks Networks
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CIKM
2011
Springer
13 years 10 months ago
Content based social behavior prediction: a multi-task learning approach
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...
AIMS
2008
Springer
15 years 14 days ago
Entwined Influences of Users' Behaviour and QoS: A Multi-model Approach
In distributed, dynamic networks and applications, such as Peer-to-Peer (P2P), users'behaviour and quality of service/quality of experiment1 are known to influence each other....
Julien Siebert, Vincent Chevrier, Laurent Ciarlett...
ISI
2008
Springer
14 years 10 months ago
A locality model of the evolution of blog networks
We present a model of evolution of large social networks. Our model is based on the local nature of communication: a node's communication energy is spend mostly within it'...
Mark K. Goldberg, Malik Magdon-Ismail, Stephen Kel...
WAW
2010
Springer
312views Algorithms» more  WAW 2010»
14 years 8 months ago
The Geometric Protean Model for On-Line Social Networks
We introduce a new geometric, rank-based model for the link structure of on-line social networks (OSNs). In the geo-protean (GEO-P) model for OSNs nodes are identified with points ...
Anthony Bonato, Jeannette Janssen, Pawel Pralat
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
14 years 8 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....