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» Predicting product adoption in large-scale social networks
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KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 8 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
QOSA
2007
Springer
14 years 1 months ago
A Bayesian Model for Predicting Reliability of Software Systems at the Architectural Level
: Modern society relies heavily on complex software systems for everyday activities. Dependability of these systems thus has become a critical feature that determines which product...
Roshanak Roshandel, Nenad Medvidovic, Leana Golubc...
CHI
2009
ACM
14 years 8 months ago
Feed me: motivating newcomer contribution in social network sites
Social networking sites (SNS) are only as good as the content their users share. Therefore, designers of SNS seek to improve the overall user experience by encouraging members to ...
Moira Burke, Cameron Marlow, Thomas M. Lento
COMPLEX
2009
Springer
13 years 11 months ago
Inter-Profile Similarity (IPS): A Method for Semantic Analysis of Online Social Networks
Online Social Networks (OSN) are experiencing an explosive growth rate and are becoming an increasingly important part of people's lives. There is an increasing desire to aid ...
Matt Spear, Xiaoming Lu, Norman S. Matloff, Shyhts...
SIGSOFT
2008
ACM
14 years 8 months ago
Can developer-module networks predict failures?
Software teams should follow a well defined goal and keep their work focused. Work fragmentation is bad for efficiency and quality. In this paper we empirically investigate the re...
Martin Pinzger, Nachiappan Nagappan, Brendan Murph...