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» Sampling Representative Users from Large Social Networks
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ICMCS
1994
IEEE
123views Multimedia» more  ICMCS 1994»
13 years 11 months ago
Casual Collaboration
As computers are increasingly used to mediate social interaction, tools are needed not only to support direct communication, but also to create a richer social environment for the...
Judith S. Donath
WIOPT
2010
IEEE
13 years 5 months ago
Competitive interference-aware spectrum access in cognitive radio networks
—Cognitive radio networks provide the capability to share the wireless channel with licensed (primary) users in an opportunistic manner. Primary users have a license to operate i...
Jocelyne Elias, Fabio Martignon, Antonio Capone, E...
LWA
2007
13 years 9 months ago
Know the Right People? Recommender Systems for Web 2.0
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
Stefan Siersdorfer, Sergej Sizov, Paul Clough
KDD
2012
ACM
229views Data Mining» more  KDD 2012»
11 years 10 months ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...
CIKM
2010
Springer
13 years 6 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu