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» On Randomness Measures for Social Networks.
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CSUR
1999
159views more  CSUR 1999»
13 years 7 months ago
Hubs, authorities, and communities
The Web can be naturally modeled as a directed graph, consisting of a set of abstract nodes (the pages) joined by directional edges (the hyperlinks). Hyperlinks encode a considerab...
Jon M. Kleinberg
PERVASIVE
2010
Springer
13 years 9 months ago
Supporting Energy-Efficient Uploading Strategies for Continuous Sensing Applications on Mobile Phones
Abstract. Continuous sensing applications (e.g., mobile social networking applications) are appearing on new sensor-enabled mobile phones such as the Apple iPhone, Nokia and Androi...
Mirco Musolesi, Mattia Piraccini, Kristof Fodor, A...
WWW
2011
ACM
13 years 2 months ago
Counting triangles and the curse of the last reducer
The clustering coefficient of a node in a social network is a fundamental measure that quantifies how tightly-knit the community is around the node. Its computation can be reduce...
Siddharth Suri, Sergei Vassilvitskii
IJCNN
2007
IEEE
14 years 1 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
CORR
2011
Springer
188views Education» more  CORR 2011»
13 years 2 months ago
Towards Unbiased BFS Sampling
Abstract—Breadth First Search (BFS) is a widely used approach for sampling large unknown Internet topologies. Its main advantage over random walks and other exploration technique...
Maciej Kurant, Athina Markopoulou, Patrick Thiran