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» On Randomness Measures for Social Networks.
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KDD
2012
ACM
229views Data Mining» more  KDD 2012»
13 years 8 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...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 6 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
ICASSP
2009
IEEE
16 years 28 days ago
Field inversion by consensus and compressed sensing
— We study the inversion of a random field from pointwise measurements collected by a sensor network. We assume that the field has a sparse representation in a known basis. To ...
Aurora Schmidt, José M. F. Moura
NETGAMES
2006
ACM
16 years 4 days ago
Comparing interest management algorithms for massively multiplayer games
Broadcasting all state changes to every player of a massively multiplayer game is not a viable solution. To successfully overcome the challenge of scale, massively multiplayer gam...
Jean-Sébastien Boulanger, Jörg Kienzle...
KDD
2008
ACM
142views Data Mining» more  KDD 2008»
16 years 6 months ago
Weighted graphs and disconnected components: patterns and a generator
The vast majority of earlier work has focused on graphs which are both connected (typically by ignoring all but the giant connected component), and unweighted. Here we study numer...
Mary McGlohon, Leman Akoglu, Christos Faloutsos