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» Social influence analysis in large-scale networks
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KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 2 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
111
Voted
CHB
2011
158views more  CHB 2011»
14 years 7 months ago
Factors mediating disclosure in social network sites
In this paper, we explore how privacy settings and privacy policy consumption (reading the privacy policy) affect the relationship between privacy attitudes and disclosure behavio...
Frederic Stutzman, Robert Capra, Jamila Thompson
124
Voted
ICMI
2010
Springer
172views Biometrics» more  ICMI 2010»
14 years 10 months ago
Modelling and analyzing multimodal dyadic interactions using social networks
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
Sergio Escalera, Petia Radeva, Jordi Vitrià...
136
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DATAMINE
2010
175views more  DATAMINE 2010»
15 years 14 days ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
KDD
2009
ACM
166views Data Mining» more  KDD 2009»
16 years 28 days ago
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis
Social networks have become a major focus of research in recent years, initially directed towards static networks but increasingly, towards dynamic ones. In this paper, we investi...
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfaha...