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SIGMETRICS
2012
ACM
253views Hardware» more  SIGMETRICS 2012»
13 years 8 months ago
Characterizing continuous time random walks on time varying graphs
In this paper we study the behavior of a continuous time random walk (CTRW) on a stationary and ergodic time varying dynamic graph. We establish conditions under which the CTRW is...
Daniel R. Figueiredo, Philippe Nain, Bruno F. Ribe...
CCR
2004
86views more  CCR 2004»
15 years 6 months ago
On the scaling of congestion in the internet graph
As the Internet grows in size, it becomes crucial to understand how the speeds of links in the network must improve in order to sustain the pressure of new end-nodes being added e...
Aditya Akella, Shuchi Chawla, Arvind Kannan, Srini...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 6 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
ICCS
1999
Springer
15 years 10 months ago
Conceptual Structures Represented by Conceptual Graphs and Formal Concept Analysis
Conceptual Graphs and Formal Concept Analysis have in common basic concerns: the focus on conceptual structures, the use of diagrams for supporting communication, the orientation b...
Guy W. Mineau, Gerd Stumme, Rudolf Wille
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 6 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany