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» On the submodularity of influence in social networks
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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 7 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
DATAMINE
2010
175views more  DATAMINE 2010»
13 years 7 months 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...
DASFAA
2009
IEEE
104views Database» more  DASFAA 2009»
14 years 2 months ago
Tailoring Data Quality Models Using Social Network Preferences
To succeed in their tasks, users need to manage data with the most adequate quality levels possible according to specific data quality models. Typically, data quality assessment co...
Ismael Caballero, Eugenio Verbo, Manuel A. Serrano...
WEBI
2007
Springer
14 years 1 months ago
Contextual Prediction of Communication Flow in Social Networks
The paper develops a novel computational framework for predicting communication flow in social networks based on several contextual features. The problem is important because pred...
Munmun De Choudhury, Hari Sundaram, Ajita John, Do...
GLOBECOM
2010
IEEE
13 years 5 months ago
Attack-Resistant Collaboration in Wireless Video Streaming Social Networks
Users using the same video streaming service within a wireless network share the same limited backbone bandwidth to the Internet. These users are motivated to collaborate with eac...
W. Sabrina Lin, H. Vicky Zhao, K. J. Ray Liu